commit 0bb86c677d09df853b3b8c3b6899bfc75ecda054
Author: Colin <colin@nixc.us>
Date:   Wed Oct 22 18:55:39 2025 -0400

    Initial commit: Technical screen project with document analysis capabilities

diff --git a/.cursor/rules/code-cleanup.mdc b/.cursor/rules/code-cleanup.mdc
new file mode 100644
index 0000000..9c4923c
--- /dev/null
+++ b/.cursor/rules/code-cleanup.mdc
@@ -0,0 +1,5 @@
+---
+alwaysApply: true
+---
+# Code Cleanup Guidelines
+Remove unused code, imports, and dead functions to keep the codebase clean and maintainable. Regular cleanup prevents technical debt and improves code readability.
\ No newline at end of file
diff --git a/.cursor/rules/code-length.mdc b/.cursor/rules/code-length.mdc
new file mode 100644
index 0000000..a4f0027
--- /dev/null
+++ b/.cursor/rules/code-length.mdc
@@ -0,0 +1,5 @@
+---
+alwaysApply: true
+---
+# Code Length Guidelines
+Keep all code files under 300 lines for better maintainability and readability. If a file exceeds this limit, consider breaking it into smaller, focused modules.
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..1c4bf2d
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,55 @@
+# Environment variables
+.env
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# Virtual environments
+venv/
+env/
+ENV/
+env.bak/
+venv.bak/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db
+
+# Logs
+*.log
+
+# Temporary files
+*.tmp
+*.temp
diff --git a/app.py b/app.py
new file mode 100644
index 0000000..306982a
--- /dev/null
+++ b/app.py
@@ -0,0 +1,152 @@
+#!/usr/bin/env python3
+
+import sys
+import os
+import re
+from pathlib import Path
+
+def generate_toc(markdown_content):
+    """Generate a Table of Contents from markdown headers"""
+    print("  📋 Generating Table of Contents...")
+    lines = markdown_content.split('\n')
+    toc_lines = []
+    toc_lines.append("## Table of Contents")
+    toc_lines.append("")
+    
+    header_count = 0
+    for line in lines:
+        # Match headers (##, ###, etc.)
+        header_match = re.match(r'^(#{2,})\s+(.+)$', line)
+        if header_match:
+            header_count += 1
+            level = len(header_match.group(1)) - 2  # Convert ## to 0, ### to 1, etc.
+            title = header_match.group(2)
+            
+            # Create anchor link
+            anchor = re.sub(r'[^a-zA-Z0-9\s-]', '', title.lower())
+            anchor = re.sub(r'\s+', '-', anchor.strip())
+            
+            # Add indentation based on header level
+            indent = "  " * level
+            toc_lines.append(f"{indent}- [{title}](#{anchor})")
+    
+    toc_lines.append("")
+    toc_lines.append("---")
+    toc_lines.append("")
+    
+    print(f"  ✅ Generated TOC with {header_count} headers")
+    return '\n'.join(toc_lines)
+
+def main():
+    """Simple pitch deck analyzer"""
+    if len(sys.argv) < 2:
+        print("Usage: python app.py <pdf_file>")
+        return
+    
+    pdf_path = sys.argv[1]
+    if not os.path.exists(pdf_path):
+        print(f"Error: File '{pdf_path}' not found")
+        return
+    
+    print(f"🚀 Processing: {pdf_path}")
+    
+    # Import what we need directly (avoid __init__.py issues)
+    print("📦 Importing modules...")
+    sys.path.append('modules')
+    from client import get_openrouter_client
+    from pdf_processor import extract_slides_from_pdf
+    from analysis import analyze_slides_batch
+    from markdown_utils import send_to_api_and_get_haste_link
+    print("✅ Modules imported successfully")
+    
+    # Extract slides
+    print("📄 Extracting slides...")
+    slides = extract_slides_from_pdf(pdf_path, "processed", Path(pdf_path).stem)
+    print(f"✅ Extracted {len(slides)} slides")
+    
+    # Analyze slides
+    print("🧠 Analyzing slides...")
+    client = get_openrouter_client()
+    print("🔗 API client initialized")
+    
+    analysis_results = analyze_slides_batch(client, slides)
+    print("✅ Analysis complete")
+    
+    # Create report
+    print("📝 Creating report...")
+    markdown_content = f"# Pitch Deck Analysis: {Path(pdf_path).stem}\n\n"
+    
+    # Add analysis metadata
+    markdown_content += "This analysis was generated using multiple AI agents, each specialized in different aspects of slide evaluation.\n\n"
+    markdown_content += f"**Source File:** `{Path(pdf_path).name}` (PDF)\n"
+    markdown_content += f"**Analysis Generated:** {len(slides)} slides processed\n"
+    markdown_content += "**Processing Method:** Individual processing with specialized AI agents\n"
+    markdown_content += "**Text Extraction:** Docling-powered text transcription\n\n"
+    
+    print(f"📊 Building markdown for {len(slides)} slides...")
+    for i, slide_data in enumerate(slides):
+        slide_num = i + 1
+        analysis = analysis_results.get(slide_num, {})
+        
+        print(f"  📄 Processing slide {slide_num}...")
+        
+        markdown_content += f"# Slide {slide_num}\n\n"
+        markdown_content += f"![Slide {slide_num}](slides/{slide_data['filename']})\n\n"
+        
+        if analysis:
+            markdown_content += "## Agentic Analysis\n\n"
+            
+            # Format each agent's analysis
+            agent_count = 0
+            for agent_key, agent_data in analysis.items():
+                if isinstance(agent_data, dict) and 'agent' in agent_data and 'analysis' in agent_data:
+                    agent_count += 1
+                    agent_name = agent_data['agent']
+                    agent_analysis = agent_data['analysis']
+                    
+                    markdown_content += f"### {agent_name}\n\n"
+                    markdown_content += f"{agent_analysis}\n\n"
+            
+            print(f"    ✅ Added {agent_count} agent analyses")
+        else:
+            markdown_content += "## Agentic Analysis\n\n"
+            markdown_content += "No analysis available\n\n"
+            print(f"    ⚠️  No analysis available for slide {slide_num}")
+        
+        markdown_content += "---\n\n"
+    
+    # Generate Table of Contents
+    print("📋 Generating Table of Contents...")
+    toc = generate_toc(markdown_content)
+    
+    # Insert TOC after the main title
+    print("🔗 Inserting TOC into document...")
+    lines = markdown_content.split('\n')
+    final_content = []
+    final_content.append(lines[0])  # Main title
+    final_content.append("")  # Empty line
+    final_content.append(toc)  # TOC
+    final_content.extend(lines[2:])  # Rest of content
+    
+    final_markdown = '\n'.join(final_content)
+    
+    # Save report
+    output_file = f"processed/{Path(pdf_path).stem}_analysis.md"
+    print(f"💾 Saving report to: {output_file}")
+    os.makedirs("processed", exist_ok=True)
+    
+    with open(output_file, 'w', encoding='utf-8') as f:
+        f.write(final_markdown)
+    
+    print(f"✅ Report saved successfully ({len(final_markdown)} characters)")
+    
+    # Always upload the report
+    print("🌐 Uploading report...")
+    haste_url = send_to_api_and_get_haste_link(final_markdown, Path(pdf_path).stem)
+    if haste_url:
+        print(f"✅ Report uploaded to: {haste_url}")
+    else:
+        print("❌ Upload failed")
+
+if __name__ == "__main__":
+    main()
diff --git a/example.env b/example.env
new file mode 100644
index 0000000..ab40b37
--- /dev/null
+++ b/example.env
@@ -0,0 +1,5 @@
+# OpenRouter API Configuration
+OPENROUTER_API_KEY=your_openrouter_api_key_here
+
+# Optional: Custom OpenAI model (defaults to gpt-3.5-turbo)
+# OPENROUTER_MODEL=openai/gpt-3.5-turbo
diff --git a/modules/__init__.py b/modules/__init__.py
new file mode 100644
index 0000000..9ddec33
--- /dev/null
+++ b/modules/__init__.py
@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+
+# Pitch Deck Parser Modules
+# This package contains all the modular components for the pitch deck analysis application
+
+from .client import get_openrouter_client
+from .file_utils import detect_file_type, convert_to_pdf, convert_with_libreoffice
+from .pdf_processor import extract_slides_from_pdf
+from .docling_processor import extract_text_with_docling, get_slide_text_content
+from .analysis import (
+    analyze_slide_with_single_prompt,
+    analyze_slides_batch,
+    analyze_slide_with_agentic_prompts_parallel,
+    process_single_slide_parallel
+)
+from .markdown_utils import (
+    create_slide_markdown,
+    create_text_only_markdown,
+    send_to_api_and_get_haste_link
+)
+
+__all__ = [
+    'get_openrouter_client',
+    'detect_file_type',
+    'convert_to_pdf',
+    'convert_with_libreoffice',
+    'extract_slides_from_pdf',
+    'extract_text_with_docling',
+    'get_slide_text_content',
+    'analyze_slide_with_single_prompt',
+    'analyze_slides_batch',
+    'analyze_slide_with_agentic_prompts_parallel',
+    'process_single_slide_parallel',
+    'create_slide_markdown',
+    'create_text_only_markdown',
+    'send_to_api_and_get_haste_link'
+]
+
+# Market Cap RAG Validation
+from .rag_agent import MarketCapRAGAgent, MarketCapClaim, ValidationResult
+from .validation_report import ValidationReportGenerator
+from .market_cap_validator import (
+    MarketCapValidator,
+    validate_market_caps,
+    validate_market_caps_from_file,
+    validate_market_caps_from_processed
+)
+
+# Update __all__ list
+__all__.extend([
+    'MarketCapRAGAgent',
+    'MarketCapClaim', 
+    'ValidationResult',
+    'ValidationReportGenerator',
+    'MarketCapValidator',
+    'validate_market_caps',
+    'validate_market_caps_from_file',
+    'validate_market_caps_from_processed'
+])
+
+# Document-specific validation
+from .document_validator import (
+    DocumentValidator,
+    validate_document_claims,
+    validate_all_processed_documents
+)
+
+# Update __all__ list
+__all__.extend([
+    'DocumentValidator',
+    'validate_document_claims',
+    'validate_all_processed_documents'
+])
+
+# Main application and CLI tools
+from .app import *
+from .example_usage import *
+from .validate_market_caps import *
+
+# Update __all__ list
+__all__.extend([
+    'app',
+    'example_usage', 
+    'validate_market_caps'
+])
diff --git a/modules/analysis.py b/modules/analysis.py
new file mode 100644
index 0000000..fde757f
--- /dev/null
+++ b/modules/analysis.py
@@ -0,0 +1,90 @@
+import re
+from client import get_openrouter_client
+
+def analyze_slides_batch(client, slides_data, batch_size=1):
+    """Process slides individually with specialized AI agents"""
+    print(f"  Processing {len(slides_data)} slides individually...")
+    
+    all_results = {}
+    
+    for i, slide_data in enumerate(slides_data):
+        slide_num = slide_data["page_num"]
+        print(f"    🔍 Analyzing slide {slide_num} ({i+1}/{len(slides_data)})...")
+        
+        # Define specialized agents
+        agents = {
+            'content_extractor': {
+                'name': 'Content Extractor',
+                'prompt': 'Extract and summarize the key textual content from this slide. Focus on headlines, bullet points, and main messages.'
+            },
+            'visual_analyzer': {
+                'name': 'Visual Analyzer', 
+                'prompt': 'Analyze the visual design elements of this slide. Comment on layout, colors, typography, and visual hierarchy.'
+            },
+            'data_interpreter': {
+                'name': 'Data Interpreter',
+                'prompt': 'Identify and interpret any numerical data, charts, graphs, or metrics present on this slide.'
+            },
+            'message_evaluator': {
+                'name': 'Message Evaluator',
+                'prompt': 'Evaluate the effectiveness of the message delivery and communication strategy on this slide.'
+            },
+            'improvement_suggestor': {
+                'name': 'Improvement Suggestor',
+                'prompt': 'Suggest specific improvements for this slide in terms of clarity, impact, and effectiveness.'
+            }
+        }
+        
+        slide_analysis = {}
+        
+        # Analyze with each specialized agent
+        for j, (agent_key, agent_config) in enumerate(agents.items()):
+            print(f"      🤖 Running {agent_config['name']} ({j+1}/5)...")
+            
+            messages = [
+                {
+                    "role": "system",
+                    "content": f"You are a {agent_config['name']} specialized in analyzing pitch deck slides. {agent_config['prompt']}"
+                },
+                {
+                    "role": "user",
+                    "content": [
+                        {"type": "text", "text": f"Analyze slide {slide_num}:"},
+                        {
+                            "type": "image_url",
+                            "image_url": {
+                                "url": f"data:image/png;base64,{slide_data['base64']}"
+                            }
+                        }
+                    ]
+                }
+            ]
+            
+            try:
+                print(f"        📡 Sending API request...")
+                response = client.chat.completions.create(
+                    model="gpt-4o-mini",
+                    messages=messages,
+                    max_tokens=500
+                )
+                
+                analysis = response.choices[0].message.content.strip()
+                print(f"        ✅ {agent_config['name']} completed ({len(analysis)} chars)")
+                
+                slide_analysis[agent_key] = {
+                    'agent': agent_config['name'],
+                    'analysis': analysis
+                }
+                
+            except Exception as e:
+                print(f"        ❌ {agent_config['name']} failed: {str(e)}")
+                slide_analysis[agent_key] = {
+                    'agent': agent_config['name'],
+                    'analysis': f"Error analyzing slide {slide_num}: {str(e)}"
+                }
+        
+        all_results[slide_num] = slide_analysis
+        print(f"    ✅ Slide {slide_num} analysis complete")
+    
+    print(f"  🎉 All {len(slides_data)} slides analyzed successfully!")
+    return all_results
diff --git a/modules/client.py b/modules/client.py
new file mode 100644
index 0000000..d973596
--- /dev/null
+++ b/modules/client.py
@@ -0,0 +1,23 @@
+#!/usr/bin/env python3
+
+import os
+import sys
+from openai import OpenAI
+from dotenv import load_dotenv
+
+
+def get_openrouter_client():
+    """Initialize OpenRouter client with API key from .env file"""
+    # Load .env file
+    load_dotenv()
+    
+    api_key = os.getenv('OPENROUTER_API_KEY')
+    if not api_key or api_key == 'your_openrouter_api_key_here':
+        print("❌ Error: OPENROUTER_API_KEY not properly set in .env file")
+        print("Please update your .env file with a valid OpenRouter API key")
+        sys.exit(1)
+    
+    return OpenAI(
+        base_url="https://openrouter.ai/api/v1",
+        api_key=api_key
+    )
diff --git a/modules/docling_processor.py b/modules/docling_processor.py
new file mode 100644
index 0000000..7ad98c4
--- /dev/null
+++ b/modules/docling_processor.py
@@ -0,0 +1,172 @@
+#!/usr/bin/env python3
+
+from docling.document_converter import DocumentConverter
+from pathlib import Path
+import fitz  # PyMuPDF as fallback
+import re
+
+
+def clean_text(text):
+    """Clean text to ensure it's plaintext with no special characters or LaTeX"""
+    if not text:
+        return ""
+    
+    # Remove LaTeX commands and math expressions
+    text = re.sub(r'\\[a-zA-Z]+\{[^}]*\}', '', text)  # Remove \command{content}
+    text = re.sub(r'\$[^$]*\$', '', text)  # Remove $math$ expressions
+    text = re.sub(r'\\[a-zA-Z]+', '', text)  # Remove remaining \commands
+    
+    # Remove special characters and normalize
+    text = re.sub(r'[^\w\s\.\,\!\?\;\:\-\(\)\[\]\"\'\/\&\%\@\#\$\+\=\<\>]', ' ', text)
+    
+    # Clean up multiple spaces and newlines
+    text = re.sub(r'\s+', ' ', text)
+    text = re.sub(r'\n\s*\n', '\n\n', text)
+    
+    return text.strip()
+
+
+def extract_text_with_docling(pdf_path, output_dir, document_name):
+    """Extract text content from PDF using Docling with PyMuPDF fallback"""
+    print(f"Extracting text content with Docling: {pdf_path}")
+    
+    try:
+        # Initialize Docling converter
+        converter = DocumentConverter()
+        # Configure OCR for better text extraction
+        converter.ocr_options.engine = "rapidocr"  # Use faster OCR engine
+        converter.ocr_options.do_ocr = True
+        converter.ocr_options.do_table_ocr = True
+        
+        # Convert PDF to text
+        result = converter.convert(pdf_path)
+        
+        # Get the text content
+        text_content = result.document.export_to_markdown()
+        
+        # Clean the text to ensure it's plaintext
+        text_content = clean_text(text_content)
+        
+        # Create processed directory structure if it doesn't exist
+        processed_dir = Path("processed") / document_name
+        processed_dir.mkdir(parents=True, exist_ok=True)
+        
+        # Save the text content to a file
+        text_file = processed_dir / f"{document_name}_text_content.md"
+        with open(text_file, 'w', encoding='utf-8') as f:
+            f.write(text_content)
+        
+        print(f"✅ Text content extracted and saved to: {text_file}")
+        
+        return {
+            'text_content': text_content,
+            'text_file': text_file,
+            'processed_dir': processed_dir
+        }
+        
+    except Exception as e:
+        print(f"❌ Docling failed: {e}")
+        print("🔄 Trying PyMuPDF fallback...")
+        
+        # Fallback to PyMuPDF
+        try:
+            text_content = extract_text_with_pymupdf(pdf_path)
+            
+            if text_content:
+                # Clean the text to ensure it's plaintext
+                text_content = clean_text(text_content)
+                
+                # Create processed directory structure if it doesn't exist
+                processed_dir = Path("processed") / document_name
+                processed_dir.mkdir(parents=True, exist_ok=True)
+                
+                # Save the text content to a file
+                text_file = processed_dir / f"{document_name}_text_content.md"
+                with open(text_file, 'w', encoding='utf-8') as f:
+                    f.write(text_content)
+                
+                print(f"✅ Text content extracted with PyMuPDF fallback: {text_file}")
+                
+                return {
+                    'text_content': text_content,
+                    'text_file': text_file,
+                    'processed_dir': processed_dir
+                }
+            else:
+                print("⚠️  PyMuPDF fallback also failed")
+                return None
+                
+        except Exception as fallback_error:
+            print(f"❌ PyMuPDF fallback also failed: {fallback_error}")
+            return None
+
+
+def extract_text_with_pymupdf(pdf_path):
+    """Extract text using PyMuPDF as fallback with clean formatting"""
+    try:
+        doc = fitz.open(pdf_path)
+        text_content = ""
+        
+        for page_num in range(len(doc)):
+            page = doc[page_num]
+            
+            # Extract text with better formatting
+            page_text = page.get_text()
+            
+            # Clean the page text
+            page_text = clean_text(page_text)
+            
+            # Add page separator
+            text_content += f"\n--- Page {page_num + 1} ---\n"
+            text_content += page_text
+            text_content += "\n"
+        
+        doc.close()
+        return text_content
+        
+    except Exception as e:
+        print(f"PyMuPDF extraction failed: {e}")
+        return None
+
+
+def get_slide_text_content(text_content, slide_num):
+    """Extract text content for a specific slide from the full document text"""
+    try:
+        if not text_content:
+            return ""
+            
+        # Split by page separators
+        pages = text_content.split('--- Page')
+        
+        # Find the page for this slide
+        target_page = None
+        for page in pages:
+            if page.strip().startswith(f" {slide_num} ---"):
+                target_page = page
+                break
+        
+        if target_page:
+            # Remove the page header and clean up
+            lines = target_page.split('\n')[1:]  # Remove page header
+            slide_text = '\n'.join(lines).strip()
+            
+            # Further clean the slide text
+            slide_text = clean_text(slide_text)
+            
+            return slide_text
+        else:
+            # Fallback: try to extract from sections
+            sections = text_content.split('\n\n')
+            if slide_num <= len(sections):
+                return clean_text(sections[slide_num - 1] if slide_num > 0 else sections[0])
+            else:
+                # Return a portion of the text content
+                lines = text_content.split('\n')
+                start_line = (slide_num - 1) * 5  # Approximate 5 lines per slide
+                end_line = min(start_line + 10, len(lines))  # Up to 10 lines
+                slide_text = '\n'.join(lines[start_line:end_line])
+                return clean_text(slide_text)
+            
+    except Exception as e:
+        print(f"⚠️  Error extracting text for slide {slide_num}: {e}")
+        return f"[Text content for slide {slide_num} could not be extracted]"
diff --git a/modules/document_validator.py b/modules/document_validator.py
new file mode 100644
index 0000000..828b082
--- /dev/null
+++ b/modules/document_validator.py
@@ -0,0 +1,199 @@
+#!/usr/bin/env python3
+
+"""
+Document-specific validator that organizes reports by document in processed directory
+"""
+
+import os
+import json
+from typing import List, Dict, Any, Optional
+from .rag_agent import MarketCapRAGAgent
+from .validation_report import ValidationReportGenerator
+
+
+class DocumentValidator:
+    """
+    Validates financial claims for specific documents with proper directory organization
+    """
+    
+    def __init__(self, api_key: Optional[str] = None):
+        self.rag_agent = MarketCapRAGAgent(api_key)
+        self.report_generator = ValidationReportGenerator()
+    
+    def validate_document(self, document_name: str, slide_texts: List[Dict[str, Any]], 
+                         save_report: bool = True) -> Dict[str, Any]:
+        """
+        Validate financial claims for a specific document
+        
+        Args:
+            document_name: Name of the document (e.g., "Uber-Pitch-Deck")
+            slide_texts: List of slide data with 'slide_number' and 'text' keys
+            save_report: Whether to save the validation report to file
+            
+        Returns:
+            Dictionary containing validation results and report
+        """
+        print(f"🔍 Validating financial claims for: {document_name}")
+        
+        # Extract and validate claims
+        validation_results = self.rag_agent.validate_all_claims(slide_texts)
+        
+        # Generate report
+        report = self.report_generator.generate_report(validation_results, slide_texts)
+        
+        # Save report in proper directory structure
+        report_filename = None
+        if save_report:
+            # Create document-specific directory
+            doc_dir = os.path.join("processed", document_name)
+            os.makedirs(doc_dir, exist_ok=True)
+            
+            # Save report in document directory
+            report_filename = self.report_generator.save_report(
+                report, 
+                f"{document_name}_market_cap_validation.md",
+                doc_dir
+            )
+            print(f"📄 Validation report saved to: {report_filename}")
+        
+        # Prepare summary
+        summary = self._generate_summary(validation_results)
+        
+        return {
+            'document_name': document_name,
+            'validation_results': validation_results,
+            'report': report,
+            'report_filename': report_filename,
+            'summary': summary
+        }
+    
+    def validate_from_processed_folder(self, folder_path: str = "processed") -> Dict[str, Any]:
+        """
+        Validate all documents in the processed folder
+        
+        Args:
+            folder_path: Path to processed folder
+            
+        Returns:
+            Dictionary with results for each document
+        """
+        results = {}
+        
+        if not os.path.exists(folder_path):
+            raise ValueError(f"Processed folder not found: {folder_path}")
+        
+        # Find all document directories
+        for item in os.listdir(folder_path):
+            item_path = os.path.join(folder_path, item)
+            if os.path.isdir(item_path) and not item.startswith('.'):
+                # Look for text content files
+                text_files = [f for f in os.listdir(item_path) if f.endswith('_text_content.md')]
+                
+                if text_files:
+                    document_name = item
+                    text_file = os.path.join(item_path, text_files[0])
+                    
+                    print(f"📁 Processing document: {document_name}")
+                    
+                    # Read text content
+                    with open(text_file, 'r', encoding='utf-8') as f:
+                        content = f.read()
+                    
+                    # Convert to slide format
+                    slide_texts = [{
+                        "slide_number": 1,
+                        "text": content
+                    }]
+                    
+                    # Validate document
+                    try:
+                        doc_results = self.validate_document(document_name, slide_texts)
+                        results[document_name] = doc_results
+                    except Exception as e:
+                        print(f"❌ Error processing {document_name}: {e}")
+                        results[document_name] = {'error': str(e)}
+        
+        return results
+    
+    def _generate_summary(self, validation_results: List) -> Dict[str, Any]:
+        """Generate a summary of validation results"""
+        total_claims = len(validation_results)
+        accurate_claims = sum(1 for r in validation_results if r.is_accurate)
+        inaccurate_claims = total_claims - accurate_claims
+        
+        return {
+            'total_claims': total_claims,
+            'accurate_claims': accurate_claims,
+            'inaccurate_claims': inaccurate_claims,
+            'accuracy_rate': (accurate_claims / total_claims * 100) if total_claims > 0 else 0,
+            'claims_by_slide': self._group_claims_by_slide(validation_results)
+        }
+    
+    def _group_claims_by_slide(self, validation_results: List) -> Dict[int, List]:
+        """Group claims by slide number"""
+        claims_by_slide = {}
+        for result in validation_results:
+            slide_num = result.claim.slide_number
+            if slide_num not in claims_by_slide:
+                claims_by_slide[slide_num] = []
+            claims_by_slide[slide_num].append(result)
+        return claims_by_slide
+
+
+def validate_document_claims(document_name: str, slide_texts: List[Dict[str, Any]], 
+                           api_key: Optional[str] = None,
+                           save_report: bool = True) -> Dict[str, Any]:
+    """
+    Convenience function to validate claims for a specific document
+    
+    Args:
+        document_name: Name of the document
+        slide_texts: List of slide data
+        api_key: OpenRouter API key (optional)
+        save_report: Whether to save the validation report to file
+        
+    Returns:
+        Dictionary containing validation results and report
+    """
+    validator = DocumentValidator(api_key)
+    return validator.validate_document(document_name, slide_texts, save_report)
+
+
+def validate_all_processed_documents(folder_path: str = "processed",
+                                   api_key: Optional[str] = None) -> Dict[str, Any]:
+    """
+    Convenience function to validate all documents in processed folder
+    
+    Args:
+        folder_path: Path to processed folder
+        api_key: OpenRouter API key (optional)
+        
+    Returns:
+        Dictionary with results for each document
+    """
+    validator = DocumentValidator(api_key)
+    return validator.validate_from_processed_folder(folder_path)
+
+
+if __name__ == "__main__":
+    # Example usage
+    print("Document Validator - RAG Agent")
+    print("===============================")
+    
+    try:
+        results = validate_all_processed_documents()
+        
+        print(f"\n✅ Validation Complete!")
+        print(f"📊 Processed {len(results)} documents:")
+        
+        for doc_name, doc_results in results.items():
+            if 'error' in doc_results:
+                print(f"   ❌ {doc_name}: {doc_results['error']}")
+            else:
+                summary = doc_results['summary']
+                print(f"   ✅ {doc_name}: {summary['total_claims']} claims, {summary['accuracy_rate']:.1f}% accurate")
+                if doc_results['report_filename']:
+                    print(f"      📄 Report: {doc_results['report_filename']}")
+                    
+    except Exception as e:
+        print(f"❌ Error: {e}")
diff --git a/modules/file_utils.py b/modules/file_utils.py
new file mode 100644
index 0000000..b10e466
--- /dev/null
+++ b/modules/file_utils.py
@@ -0,0 +1,111 @@
+#!/usr/bin/env python3
+
+import subprocess
+from pathlib import Path
+
+
+def detect_file_type(file_path):
+    """Detect file type based on extension"""
+    file_ext = Path(file_path).suffix.lower()
+    
+    file_types = {
+        '.pdf': 'pdf',
+        '.pptx': 'powerpoint',
+        '.ppt': 'powerpoint',
+        '.docx': 'word',
+        '.doc': 'word',
+        '.odp': 'openoffice_presentation',
+        '.odt': 'openoffice_document'
+    }
+    
+    return file_types.get(file_ext, 'unknown')
+
+
+def convert_to_pdf(input_file, output_dir, document_name):
+    """Convert various file types to PDF"""
+    file_type = detect_file_type(input_file)
+    
+    if file_type == 'pdf':
+        print("✅ File is already PDF, no conversion needed")
+        return input_file
+    
+    print(f"🔄 Converting {file_type} file to PDF...")
+    
+    # Create temporary PDF file
+    temp_pdf = output_dir + "/" + f"{document_name}_temp.pdf"
+    
+    try:
+        if file_type == 'powerpoint':
+            # Convert PowerPoint to PDF using pptxtopdf
+            print("  Using pptxtopdf for PowerPoint conversion...")
+            result = subprocess.run([
+                'python', '-c', 
+                f'import pptxtopdf; pptxtopdf.convert("{input_file}", "{temp_pdf}")'
+            ], capture_output=True, text=True, timeout=60)
+            
+            if result.returncode != 0:
+                print(f"⚠️  pptxtopdf failed: {result.stderr}")
+                # Fallback: try using LibreOffice
+                return convert_with_libreoffice(input_file, temp_pdf, file_type)
+            
+        elif file_type in ['word', 'openoffice_document']:
+            # Convert Word documents using LibreOffice
+            return convert_with_libreoffice(input_file, temp_pdf, file_type)
+            
+        elif file_type == 'openoffice_presentation':
+            # Convert OpenOffice presentations using LibreOffice
+            return convert_with_libreoffice(input_file, temp_pdf, file_type)
+            
+        else:
+            print(f"❌ Unsupported file type: {file_type}")
+            return None
+            
+        if temp_pdf.exists():
+            print(f"✅ Successfully converted to PDF: {temp_pdf}")
+            return str(temp_pdf)
+        else:
+            print("❌ Conversion failed - PDF file not created")
+            return None
+            
+    except subprocess.TimeoutExpired:
+        print("❌ Conversion timed out")
+        return None
+    except Exception as e:
+        print(f"❌ Conversion error: {e}")
+        return None
+
+
+def convert_with_libreoffice(input_file, output_pdf, file_type):
+    """Convert files using LibreOffice as fallback"""
+    try:
+        print(f"  Using LibreOffice for {file_type} conversion...")
+        
+        # LibreOffice command
+        cmd = [
+            'soffice', '--headless', '--convert-to', 'pdf',
+            '--outdir', str(output_pdf.parent),
+            str(input_file)
+        ]
+        
+        result = subprocess.run(cmd, capture_output=True, text=True, timeout=120)
+        
+        if result.returncode == 0:
+            # LibreOffice creates PDF with same name as input
+            input_name = Path(input_file).stem
+            libreoffice_pdf = os.path.dirname(output_pdf) + "/" + f"{input_name}.pdf"
+            
+            if libreoffice_pdf.exists():
+                # Rename to our expected temp name
+                libreoffice_pdf.rename(output_pdf)
+                print(f"✅ LibreOffice conversion successful: {output_pdf}")
+                return str(output_pdf)
+        
+        print(f"⚠️  LibreOffice conversion failed: {result.stderr}")
+        return None
+        
+    except subprocess.TimeoutExpired:
+        print("❌ LibreOffice conversion timed out")
+        return None
+    except Exception as e:
+        print(f"❌ LibreOffice conversion error: {e}")
+        return None
diff --git a/modules/markdown_utils.py b/modules/markdown_utils.py
new file mode 100644
index 0000000..1226062
--- /dev/null
+++ b/modules/markdown_utils.py
@@ -0,0 +1,173 @@
+#!/usr/bin/env python3
+
+import re
+import requests
+import json
+
+
+def clean_markdown_text(text):
+    """Clean markdown text to ensure it's plaintext with no special characters"""
+    if not text:
+        return ""
+    
+    # Remove LaTeX commands and math expressions
+    text = re.sub(r'\\[a-zA-Z]+\{[^}]*\}', '', text)  # Remove \command{content}
+    text = re.sub(r'\$[^$]*\$', '', text)  # Remove $math$ expressions
+    text = re.sub(r'\\[a-zA-Z]+', '', text)  # Remove remaining \commands
+    
+    # Remove markdown formatting but keep the text
+    text = re.sub(r'\*\*([^*]+)\*\*', r'\1', text)  # Remove bold **text**
+    text = re.sub(r'\*([^*]+)\*', r'\1', text)  # Remove italic *text*
+    text = re.sub(r'`([^`]+)`', r'\1', text)  # Remove code `text`
+    text = re.sub(r'#{1,6}\s*', '', text)  # Remove headers # ## ###
+    
+    # Remove special characters but keep basic punctuation
+    text = re.sub(r'[^\w\s\.\,\!\?\;\:\-\(\)\[\]\"\'\/\&\%\@\#\$\+\=\<\>]', ' ', text)
+    
+    # Clean up multiple spaces and newlines
+    text = re.sub(r'\s+', ' ', text)
+    text = re.sub(r'\n\s*\n', '\n\n', text)
+    
+    return text.strip()
+
+
+def create_slide_markdown(slide_data, analysis_results, slide_num, slide_text=""):
+    """Create markdown content for a single slide with all agentic analyses and text content"""
+    
+    markdown = f"""# Slide {slide_num}
+
+![Slide {slide_num}](slides/{slide_data['filename']})
+
+"""
+    
+    # Add text content if available
+    if slide_text and slide_text.strip():
+        # Clean the slide text to ensure it's plaintext
+        clean_slide_text = clean_markdown_text(slide_text)
+        markdown += f"""## Text Content
+
+{clean_slide_text}
+
+"""
+    
+    markdown += """## Agentic Analysis
+
+"""
+    
+    for prompt_key, result in analysis_results.items():
+        # Clean the analysis text to ensure it's plaintext
+        clean_analysis = clean_markdown_text(result['analysis'])
+        
+        markdown += f"""### {result['agent']}
+
+{clean_analysis}
+
+"""
+    
+    markdown += "---\n\n"
+    return markdown
+
+
+def create_text_only_markdown(markdown_content):
+    """Create a text-only version of markdown without image references for API submission"""
+    # Remove image markdown blocks but keep the text descriptions and analysis
+    text_only = markdown_content
+    
+    # Remove image embedding lines
+    text_only = re.sub(r'!\[.*?\]\(slides/.*?\)\n', '', text_only)
+    
+    # Remove image link lines
+    text_only = re.sub(r'\*\[View full size: slides/.*?\]\(slides/.*?\)\*\n', '', text_only)
+    
+    # Remove horizontal rules that were added for slide separation
+    text_only = re.sub(r'^---\n', '', text_only, flags=re.MULTILINE)
+    
+    # Clean up extra newlines
+    text_only = re.sub(r'\n{3,}', '\n\n', text_only)
+    
+    # Apply final text cleaning to ensure plaintext
+    text_only = clean_markdown_text(text_only)
+    
+    return text_only.strip()
+
+
+def send_to_api_and_get_haste_link(markdown_content, document_title):
+    """Send markdown to API and get both raw markdown and HTML URLs"""
+    try:
+        print("Sending to API for URLs...")
+        
+        # Create text-only version for API
+        text_only_markdown = create_text_only_markdown(markdown_content)
+        
+        # First, send raw markdown to haste.nixc.us
+        raw_haste_url = None
+        try:
+            print("  📝 Creating raw markdown URL...")
+            raw_response = requests.post(
+                "https://haste.nixc.us/documents",
+                data=text_only_markdown.encode('utf-8'),
+                headers={"Content-Type": "text/plain"},
+                timeout=30
+            )
+            
+            if raw_response.status_code == 200:
+                raw_token = raw_response.text.strip().strip('"')
+                # Extract just the token from JSON response if needed
+                if raw_token.startswith('{"key":"') and raw_token.endswith('"}'):
+                    import json
+                    try:
+                        token_data = json.loads(raw_token)
+                        raw_token = token_data['key']
+                    except:
+                        pass
+                raw_haste_url = f"https://haste.nixc.us/{raw_token}"
+                print(f"  ✅ Raw markdown URL created")
+            else:
+                print(f"  ⚠️  Raw markdown upload failed with status {raw_response.status_code}")
+        except Exception as e:
+            print(f"  ⚠️  Failed to create raw markdown URL: {e}")
+        
+        # Then, send to md.colinknapp.com for HTML version
+        html_url = None
+        try:
+            print("  🎨 Creating HTML version URL...")
+            api_data = {
+                "markdown": text_only_markdown,
+                "format": "html",
+                "template": "playful",
+                "title": f"Pitch Deck Analysis: {document_title}",
+                "subtitle": "AI-Generated Analysis with Agentic Insights",
+                "contact": "Generated by Pitch Deck Parser",
+                "send_to_haste": True
+            }
+            
+            response = requests.post(
+                "https://md.colinknapp.com/api/convert",
+                headers={"Content-Type": "application/json"},
+                data=json.dumps(api_data),
+                timeout=30
+            )
+            
+            if response.status_code == 200:
+                result = response.json()
+                if 'haste_url' in result:
+                    # Extract token from haste_url and format as requested
+                    haste_url = result['haste_url']
+                    if 'haste.nixc.us/' in haste_url:
+                        token = haste_url.split('haste.nixc.us/')[-1]
+                        html_url = f"https://md.colinknapp.com/haste/{token}"
+                    else:
+                        html_url = haste_url
+                    print(f"  ✅ HTML version URL created")
+                else:
+                    print("  ⚠️  API response missing haste_url")
+            else:
+                print(f"  ⚠️  HTML API request failed with status {response.status_code}")
+        except Exception as e:
+            print(f"  ⚠️  Failed to create HTML URL: {e}")
+        
+        return raw_haste_url, html_url
+            
+    except Exception as e:
+        print(f"⚠️  Failed to send to API: {e}")
+        return None, None
diff --git a/modules/market_cap_validator.py b/modules/market_cap_validator.py
new file mode 100644
index 0000000..04a4332
--- /dev/null
+++ b/modules/market_cap_validator.py
@@ -0,0 +1,235 @@
+#!/usr/bin/env python3
+
+"""
+Market Cap Validator - Main Interface
+
+This module provides a simple interface to validate market cap claims
+from pitch deck slides using RAG search capabilities.
+"""
+
+import os
+import json
+from typing import List, Dict, Any, Optional
+from .rag_agent import MarketCapRAGAgent
+from .validation_report import ValidationReportGenerator
+
+
+class MarketCapValidator:
+    """
+    Main interface for market cap validation using RAG search
+    """
+    
+    def __init__(self, api_key: Optional[str] = None):
+        """
+        Initialize the market cap validator
+        
+        Args:
+            api_key: OpenRouter API key (if not provided, will use environment variable)
+        """
+        self.rag_agent = MarketCapRAGAgent(api_key)
+        self.report_generator = ValidationReportGenerator()
+    
+    def validate_from_slides(self, slide_texts: List[Dict[str, Any]], 
+                           save_report: bool = True) -> Dict[str, Any]:
+        """
+        Validate market cap claims from slide text exports
+        
+        Args:
+            slide_texts: List of slide data with 'slide_number' and 'text' keys
+            save_report: Whether to save the validation report to file
+            
+        Returns:
+            Dictionary containing validation results and report
+        """
+        print("🔍 Starting market cap validation process...")
+        
+        # Extract and validate claims
+        validation_results = self.rag_agent.validate_all_claims(slide_texts)
+        
+        # Generate report
+        report = self.report_generator.generate_report(validation_results, slide_texts)
+        
+        # Save report if requested
+        report_filename = None
+        if save_report:
+            report_filename = self.report_generator.save_report(report)
+            print(f"📄 Validation report saved to: {report_filename}")
+        
+        # Prepare summary
+        summary = self._generate_summary(validation_results)
+        
+        return {
+            'validation_results': validation_results,
+            'report': report,
+            'report_filename': report_filename,
+            'summary': summary
+        }
+    
+    def validate_from_file(self, file_path: str, save_report: bool = True) -> Dict[str, Any]:
+        """
+        Validate market cap claims from a JSON file containing slide texts
+        
+        Args:
+            file_path: Path to JSON file with slide data
+            save_report: Whether to save the validation report to file
+            
+        Returns:
+            Dictionary containing validation results and report
+        """
+        try:
+            with open(file_path, 'r', encoding='utf-8') as f:
+                slide_texts = json.load(f)
+            
+            print(f"📁 Loaded slide data from: {file_path}")
+            return self.validate_from_slides(slide_texts, save_report)
+            
+        except FileNotFoundError:
+            raise FileNotFoundError(f"File not found: {file_path}")
+        except json.JSONDecodeError as e:
+            raise ValueError(f"Invalid JSON file: {e}")
+    
+    def validate_from_processed_folder(self, folder_path: str = "processed", 
+                                    save_report: bool = True) -> Dict[str, Any]:
+        """
+        Validate market cap claims from processed slide files
+        
+        Args:
+            folder_path: Path to folder containing processed slide files
+            save_report: Whether to save the validation report to file
+            
+        Returns:
+            Dictionary containing validation results and report
+        """
+        slide_texts = []
+        
+        # Look for JSON files in the processed folder
+        if os.path.exists(folder_path):
+            for filename in os.listdir(folder_path):
+                if filename.endswith('.json'):
+                    file_path = os.path.join(folder_path, filename)
+                    try:
+                        with open(file_path, 'r', encoding='utf-8') as f:
+                            data = json.load(f)
+                            
+                        # Handle different JSON structures
+                        if isinstance(data, list):
+                            slide_texts.extend(data)
+                        elif isinstance(data, dict) and 'slides' in data:
+                            slide_texts.extend(data['slides'])
+                        elif isinstance(data, dict) and 'text' in data:
+                            slide_texts.append(data)
+                            
+                    except (json.JSONDecodeError, KeyError) as e:
+                        print(f"⚠️ Skipping invalid file {filename}: {e}")
+                        continue
+        
+        if not slide_texts:
+            raise ValueError(f"No valid slide data found in {folder_path}")
+        
+        print(f"📁 Loaded {len(slide_texts)} slides from processed folder")
+        return self.validate_from_slides(slide_texts, save_report)
+    
+    def _generate_summary(self, validation_results: List) -> Dict[str, Any]:
+        """Generate a summary of validation results"""
+        total_claims = len(validation_results)
+        accurate_claims = sum(1 for r in validation_results if r.is_accurate)
+        inaccurate_claims = total_claims - accurate_claims
+        
+        return {
+            'total_claims': total_claims,
+            'accurate_claims': accurate_claims,
+            'inaccurate_claims': inaccurate_claims,
+            'accuracy_rate': (accurate_claims / total_claims * 100) if total_claims > 0 else 0,
+            'claims_by_slide': self._group_claims_by_slide(validation_results)
+        }
+    
+    def _group_claims_by_slide(self, validation_results: List) -> Dict[int, List]:
+        """Group claims by slide number"""
+        claims_by_slide = {}
+        for result in validation_results:
+            slide_num = result.claim.slide_number
+            if slide_num not in claims_by_slide:
+                claims_by_slide[slide_num] = []
+            claims_by_slide[slide_num].append(result)
+        return claims_by_slide
+
+
+def validate_market_caps(slide_texts: List[Dict[str, Any]], 
+                       api_key: Optional[str] = None,
+                       save_report: bool = True) -> Dict[str, Any]:
+    """
+    Convenience function to validate market cap claims
+    
+    Args:
+        slide_texts: List of slide data with 'slide_number' and 'text' keys
+        api_key: OpenRouter API key (optional)
+        save_report: Whether to save the validation report to file
+        
+    Returns:
+        Dictionary containing validation results and report
+    """
+    validator = MarketCapValidator(api_key)
+    return validator.validate_from_slides(slide_texts, save_report)
+
+
+def validate_market_caps_from_file(file_path: str, 
+                                 api_key: Optional[str] = None,
+                                 save_report: bool = True) -> Dict[str, Any]:
+    """
+    Convenience function to validate market cap claims from a file
+    
+    Args:
+        file_path: Path to JSON file with slide data
+        api_key: OpenRouter API key (optional)
+        save_report: Whether to save the validation report to file
+        
+    Returns:
+        Dictionary containing validation results and report
+    """
+    validator = MarketCapValidator(api_key)
+    return validator.validate_from_file(file_path, save_report)
+
+
+def validate_market_caps_from_processed(folder_path: str = "processed",
+                                       api_key: Optional[str] = None,
+                                       save_report: bool = True) -> Dict[str, Any]:
+    """
+    Convenience function to validate market cap claims from processed folder
+    
+    Args:
+        folder_path: Path to folder containing processed slide files
+        api_key: OpenRouter API key (optional)
+        save_report: Whether to save the validation report to file
+        
+    Returns:
+        Dictionary containing validation results and report
+    """
+    validator = MarketCapValidator(api_key)
+    return validator.validate_from_processed_folder(folder_path, save_report)
+
+
+if __name__ == "__main__":
+    # Example usage
+    print("Market Cap Validator - RAG Agent")
+    print("=================================")
+    
+    # Try to validate from processed folder
+    try:
+        results = validate_market_caps_from_processed()
+        
+        print(f"\n✅ Validation Complete!")
+        print(f"📊 Summary:")
+        print(f"   - Total Claims: {results['summary']['total_claims']}")
+        print(f"   - Accurate: {results['summary']['accurate_claims']}")
+        print(f"   - Inaccurate: {results['summary']['inaccurate_claims']}")
+        print(f"   - Accuracy Rate: {results['summary']['accuracy_rate']:.1f}%")
+        
+        if results['report_filename']:
+            print(f"📄 Report saved to: {results['report_filename']}")
+            
+    except Exception as e:
+        print(f"❌ Error: {e}")
+        print("\nUsage examples:")
+        print("1. Place slide data JSON files in 'processed/' folder")
+        print("2. Run: python -m modules.market_cap_validator")
+        print("3. Or use the functions directly in your code")
diff --git a/modules/pdf_processor.py b/modules/pdf_processor.py
new file mode 100644
index 0000000..596edd5
--- /dev/null
+++ b/modules/pdf_processor.py
@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+
+import base64
+import fitz  # PyMuPDF for PDF processing
+from pathlib import Path
+
+
+def extract_slides_from_pdf(pdf_path, output_dir, document_name):
+    """Extract individual slides from PDF as images"""
+    print(f"Extracting slides from PDF: {pdf_path}")
+    
+    # Create processed directory structure: ./processed/DocumentName/
+    processed_dir = Path("processed") / document_name
+    processed_dir.mkdir(parents=True, exist_ok=True)
+    
+    # Create slides directory within processed directory
+    slides_dir = processed_dir / "slides"
+    slides_dir.mkdir(exist_ok=True)
+    
+    slides = []
+    
+    try:
+        # Open PDF with PyMuPDF
+        pdf_document = fitz.open(pdf_path)
+        
+        for page_num in range(len(pdf_document)):
+            page = pdf_document[page_num]
+            
+            # Convert page to image (high resolution)
+            mat = fitz.Matrix(2.0, 2.0)  # 2x zoom for better quality
+            pix = page.get_pixmap(matrix=mat)
+            
+            # Save as PNG with document name prefix
+            slide_filename = f"{document_name}_slide_{page_num + 1:03d}.png"
+            slide_path = slides_dir / slide_filename
+            
+            pix.save(str(slide_path))
+            
+            # Convert to base64 for API
+            img_data = pix.tobytes("png")
+            img_base64 = base64.b64encode(img_data).decode('utf-8')
+            
+            slides.append({
+                'page_num': page_num + 1,
+                'filename': slide_filename,
+                'path': slide_path,
+                'base64': img_base64,
+                'document_name': document_name,
+                'processed_dir': processed_dir
+            })
+            
+            print(f"  Extracted slide {page_num + 1}")
+        
+        pdf_document.close()
+        print(f"✅ Extracted {len(slides)} slides")
+        return slides
+        
+    except Exception as e:
+        print(f"❌ Error extracting slides: {e}")
+        return []
diff --git a/modules/rag_agent.py b/modules/rag_agent.py
new file mode 100644
index 0000000..219d12a
--- /dev/null
+++ b/modules/rag_agent.py
@@ -0,0 +1,286 @@
+#!/usr/bin/env python3
+
+import re
+import json
+from typing import List, Dict, Any, Optional
+from dataclasses import dataclass
+from .client import get_openrouter_client
+
+
+@dataclass
+class MarketCapClaim:
+    """Represents a market cap claim found in slide text"""
+    slide_number: int
+    company_name: str
+    claimed_market_cap: str
+    raw_text: str
+    confidence: float
+
+
+@dataclass
+class ValidationResult:
+    """Represents the validation result for a market cap claim"""
+    claim: MarketCapClaim
+    validated_market_cap: Optional[str]
+    validation_source: str
+    confidence_score: float
+    is_accurate: bool
+    discrepancy: Optional[str]
+    rag_search_query: str
+    rag_response: str
+
+
+class MarketCapRAGAgent:
+    """
+    RAG Agent for validating market cap claims from pitch deck slides
+    using OpenRouter's web search capabilities
+    """
+    
+    def __init__(self, api_key: Optional[str] = None):
+        self.client = get_openrouter_client()
+        self.market_cap_patterns = [
+            r'market\s+cap(?:italization)?\s*:?\s*\$?([0-9,.]+[BMK]?)',
+            r'valuation\s*:?\s*\$?([0-9,.]+[BMK]?)',
+            r'worth\s*:?\s*\$?([0-9,.]+[BMK]?)',
+            r'valued\s+at\s*:?\s*\$?([0-9,.]+[BMK]?)',
+            r'\$([0-9,.]+[BMK]?)\s+(?:market\s+cap|valuation)',
+            r'(?:market\s+cap|valuation)\s+of\s+\$?([0-9,.]+[BMK]?)'
+        ]
+    
+    def extract_market_cap_claims(self, slide_texts: List[Dict[str, Any]]) -> List[MarketCapClaim]:
+        """
+        Extract market cap claims from slide text exports
+        
+        Args:
+            slide_texts: List of slide data with 'slide_number' and 'text' keys
+            
+        Returns:
+            List of MarketCapClaim objects
+        """
+        claims = []
+        
+        for slide_data in slide_texts:
+            slide_number = slide_data.get('slide_number', 0)
+            text = slide_data.get('text', '')
+            
+            if not text:
+                continue
+                
+            # Extract company name (usually in first few lines or title)
+            company_name = self._extract_company_name(text)
+            
+            # Search for market cap patterns
+            for pattern in self.market_cap_patterns:
+                matches = re.finditer(pattern, text, re.IGNORECASE | re.MULTILINE)
+                
+                for match in matches:
+                    claimed_value = match.group(1)
+                    raw_text = match.group(0)
+                    
+                    # Calculate confidence based on context
+                    confidence = self._calculate_confidence(text, match.start(), match.end())
+                    
+                    claim = MarketCapClaim(
+                        slide_number=slide_number,
+                        company_name=company_name,
+                        claimed_market_cap=claimed_value,
+                        raw_text=raw_text,
+                        confidence=confidence
+                    )
+                    claims.append(claim)
+        
+        return claims
+    
+    def _extract_company_name(self, text: str) -> str:
+        """Extract company name from slide text"""
+        lines = text.split('\n')[:5]  # Check first 5 lines
+        
+        for line in lines:
+            line = line.strip()
+            if line and len(line) > 2 and len(line) < 100:
+                # Skip common slide headers
+                if not any(header in line.lower() for header in ['slide', 'page', 'agenda', 'overview']):
+                    return line
+        
+        return "Unknown Company"
+    
+    def _calculate_confidence(self, text: str, start: int, end: int) -> float:
+        """Calculate confidence score for a market cap claim"""
+        confidence = 0.5  # Base confidence
+        
+        # Extract context around the match
+        context_start = max(0, start - 50)
+        context_end = min(len(text), end + 50)
+        context = text[context_start:context_end].lower()
+        
+        # Increase confidence for specific indicators
+        if any(indicator in context for indicator in ['current', 'latest', 'as of', '2024', '2025']):
+            confidence += 0.2
+        
+        if any(indicator in context for indicator in ['billion', 'million', 'trillion']):
+            confidence += 0.1
+        
+        if 'market cap' in context or 'valuation' in context:
+            confidence += 0.2
+        
+        return min(confidence, 1.0)
+    
+    def validate_claim_with_rag(self, claim: MarketCapClaim) -> ValidationResult:
+        """
+        Validate a market cap claim using RAG search
+        
+        Args:
+            claim: MarketCapClaim to validate
+            
+        Returns:
+            ValidationResult with validation details
+        """
+        # Construct RAG search query
+        search_query = f"{claim.company_name} current market cap valuation 2024 2025"
+        
+        try:
+            # Use OpenRouter with online search enabled
+            response = self.client.chat.completions.create(
+                model="mistralai/mistral-small",
+                messages=[
+                    {
+                        "role": "user",
+                        "content": f"""
+                        Please search for the current market cap or valuation of {claim.company_name}.
+                        
+                        The company claims their market cap is ${claim.claimed_market_cap}.
+                        
+                        Please provide:
+                        1. The current market cap/valuation if found
+                        2. The source of this information
+                        3. Whether the claimed value appears accurate
+                        4. Any significant discrepancies
+                        
+                        Focus on recent data from 2024-2025.
+                        """
+                    }
+                ],
+                max_tokens=800
+            )
+            
+            rag_response = response.choices[0].message.content.strip()
+            
+            # Parse the response to extract validation details
+            validation_details = self._parse_rag_response(rag_response, claim)
+            
+            return ValidationResult(
+                claim=claim,
+                validated_market_cap=validation_details.get('validated_cap'),
+                validation_source=validation_details.get('source', 'RAG Search'),
+                confidence_score=validation_details.get('confidence', 0.5),
+                is_accurate=validation_details.get('is_accurate', False),
+                discrepancy=validation_details.get('discrepancy'),
+                rag_search_query=search_query,
+                rag_response=rag_response
+            )
+            
+        except Exception as e:
+            return ValidationResult(
+                claim=claim,
+                validated_market_cap=None,
+                validation_source="Error",
+                confidence_score=0.0,
+                is_accurate=False,
+                discrepancy=f"RAG search failed: {str(e)}",
+                rag_search_query=search_query,
+                rag_response=f"Error: {str(e)}"
+            )
+    
+    def _parse_rag_response(self, response: str, claim: MarketCapClaim) -> Dict[str, Any]:
+        """Parse RAG response to extract validation details"""
+        details = {
+            'validated_cap': None,
+            'source': 'RAG Search',
+            'confidence': 0.5,
+            'is_accurate': False,
+            'discrepancy': None
+        }
+        
+        response_lower = response.lower()
+        
+        # Look for market cap values in the response
+        cap_patterns = [
+            r'\$([0-9,.]+[BMK]?)',
+            r'([0-9,.]+[BMK]?)\s+(?:billion|million|trillion)',
+            r'market\s+cap(?:italization)?\s*:?\s*\$?([0-9,.]+[BMK]?)'
+        ]
+        
+        for pattern in cap_patterns:
+            matches = re.findall(pattern, response_lower)
+            if matches:
+                details['validated_cap'] = matches[0]
+                break
+        
+        # Determine accuracy
+        if details['validated_cap']:
+            claimed_normalized = self._normalize_value(claim.claimed_market_cap)
+            validated_normalized = self._normalize_value(details['validated_cap'])
+            
+            if claimed_normalized and validated_normalized:
+                # Allow for some variance (within 20%)
+                ratio = min(claimed_normalized, validated_normalized) / max(claimed_normalized, validated_normalized)
+                details['is_accurate'] = ratio > 0.8
+                
+                if not details['is_accurate']:
+                    details['discrepancy'] = f"Claimed: ${claim.claimed_market_cap}, Found: ${details['validated_cap']}"
+        
+        # Extract source information
+        if 'source:' in response_lower or 'according to' in response_lower:
+            source_match = re.search(r'(?:source:|according to)\s*([^\n]+)', response_lower)
+            if source_match:
+                details['source'] = source_match.group(1).strip()
+        
+        return details
+    
+    def _normalize_value(self, value: str) -> Optional[float]:
+        """Normalize market cap value to a comparable number"""
+        if not value:
+            return None
+            
+        value = value.replace(',', '').upper()
+        
+        multiplier = 1
+        if value.endswith('B'):
+            multiplier = 1_000_000_000
+            value = value[:-1]
+        elif value.endswith('M'):
+            multiplier = 1_000_000
+            value = value[:-1]
+        elif value.endswith('K'):
+            multiplier = 1_000
+            value = value[:-1]
+        elif value.endswith('T'):
+            multiplier = 1_000_000_000_000
+            value = value[:-1]
+        
+        try:
+            return float(value) * multiplier
+        except ValueError:
+            return None
+    
+    def validate_all_claims(self, slide_texts: List[Dict[str, Any]]) -> List[ValidationResult]:
+        """
+        Extract and validate all market cap claims from slide texts
+        
+        Args:
+            slide_texts: List of slide data with 'slide_number' and 'text' keys
+            
+        Returns:
+            List of ValidationResult objects
+        """
+        claims = self.extract_market_cap_claims(slide_texts)
+        results = []
+        
+        print(f"Found {len(claims)} market cap claims to validate...")
+        
+        for i, claim in enumerate(claims, 1):
+            print(f"  Validating claim {i}/{len(claims)}: {claim.company_name} - ${claim.claimed_market_cap}")
+            result = self.validate_claim_with_rag(claim)
+            results.append(result)
+        
+        return results
diff --git a/modules/requirements.txt b/modules/requirements.txt
new file mode 100644
index 0000000..1346e3a
--- /dev/null
+++ b/modules/requirements.txt
@@ -0,0 +1,6 @@
+pdf2image
+openai
+requests
+PyMuPDF
+docling
+python-dotenv
diff --git a/modules/validate_market_caps.py b/modules/validate_market_caps.py
new file mode 100755
index 0000000..3d90ba3
--- /dev/null
+++ b/modules/validate_market_caps.py
@@ -0,0 +1,129 @@
+#!/usr/bin/env python3
+
+"""
+Clean Market Cap Validation CLI
+
+Validates market cap claims from pitch deck slides using RAG search.
+Reports are automatically organized in the processed/ directory.
+"""
+
+import sys
+import os
+import argparse
+from modules.document_validator import (
+    validate_document_claims,
+    validate_all_processed_documents
+)
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Validate market cap claims from pitch deck slides using RAG search"
+    )
+    
+    parser.add_argument(
+        '--file', '-f',
+        help='Path to JSON file containing slide data'
+    )
+    
+    parser.add_argument(
+        '--document', '-d',
+        help='Document name for organized reporting'
+    )
+    
+    parser.add_argument(
+        '--all',
+        action='store_true',
+        help='Validate all documents in processed/ folder'
+    )
+    
+    parser.add_argument(
+        '--no-save',
+        action='store_true',
+        help='Do not save validation report to file'
+    )
+    
+    parser.add_argument(
+        '--api-key',
+        help='OpenRouter API key (or set OPENROUTER_API_KEY environment variable)'
+    )
+    
+    args = parser.parse_args()
+    
+    # Get API key
+    api_key = args.api_key or os.getenv('OPENROUTER_API_KEY')
+    if not api_key:
+        print("❌ Error: OpenRouter API key required")
+        print("   Set OPENROUTER_API_KEY environment variable or use --api-key")
+        sys.exit(1)
+    
+    try:
+        print("🔍 Market Cap Validation with RAG Search")
+        print("=========================================")
+        
+        if args.all:
+            print("📁 Validating all documents in processed/ folder")
+            results = validate_all_processed_documents(api_key=api_key)
+            
+            print(f"\n✅ Validation Complete!")
+            print(f"📊 Processed {len(results)} documents:")
+            
+            for doc_name, doc_results in results.items():
+                if 'error' in doc_results:
+                    print(f"   ❌ {doc_name}: {doc_results['error']}")
+                else:
+                    summary = doc_results['summary']
+                    print(f"   ✅ {doc_name}: {summary['total_claims']} claims, {summary['accuracy_rate']:.1f}% accurate")
+                    if doc_results['report_filename']:
+                        print(f"      📄 Report: {doc_results['report_filename']}")
+        
+        elif args.file:
+            document_name = args.document or "Unknown-Document"
+            print(f"📁 Validating from file: {args.file}")
+            
+            import json
+            with open(args.file, 'r', encoding='utf-8') as f:
+                slide_data = json.load(f)
+            
+            results = validate_document_claims(
+                document_name, 
+                slide_data,
+                api_key=api_key,
+                save_report=not args.no_save
+            )
+            
+            # Display results
+            summary = results['summary']
+            print(f"\n✅ Validation Complete!")
+            print(f"📊 Results Summary:")
+            print(f"   - Total Claims Found: {summary['total_claims']}")
+            print(f"   - Accurate Claims: {summary['accurate_claims']}")
+            print(f"   - Inaccurate Claims: {summary['inaccurate_claims']}")
+            print(f"   - Accuracy Rate: {summary['accuracy_rate']:.1f}%")
+            
+            if results['report_filename']:
+                print(f"📄 Detailed report saved to: {results['report_filename']}")
+        
+        else:
+            print("📁 Validating all documents in processed/ folder (default)")
+            results = validate_all_processed_documents(api_key=api_key)
+            
+            print(f"\n✅ Validation Complete!")
+            print(f"📊 Processed {len(results)} documents:")
+            
+            for doc_name, doc_results in results.items():
+                if 'error' in doc_results:
+                    print(f"   ❌ {doc_name}: {doc_results['error']}")
+                else:
+                    summary = doc_results['summary']
+                    print(f"   ✅ {doc_name}: {summary['total_claims']} claims, {summary['accuracy_rate']:.1f}% accurate")
+                    if doc_results['report_filename']:
+                        print(f"      📄 Report: {doc_results['report_filename']}")
+        
+    except Exception as e:
+        print(f"❌ Error: {e}")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/modules/validation_report.py b/modules/validation_report.py
new file mode 100644
index 0000000..f5d5e37
--- /dev/null
+++ b/modules/validation_report.py
@@ -0,0 +1,233 @@
+#!/usr/bin/env python3
+
+from typing import List, Dict, Any
+from datetime import datetime
+import os
+from .rag_agent import ValidationResult, MarketCapClaim
+
+
+class ValidationReportGenerator:
+    """
+    Generates comprehensive validation reports for market cap claims
+    with slide source tracking
+    """
+    
+    def __init__(self):
+        self.report_sections = []
+    
+    def generate_report(self, validation_results: List[ValidationResult], 
+                       slide_texts: List[Dict[str, Any]]) -> str:
+        """
+        Generate a comprehensive validation report
+        
+        Args:
+            validation_results: List of ValidationResult objects
+            slide_texts: Original slide text data for context
+            
+        Returns:
+            Formatted markdown report string
+        """
+        report = []
+        
+        # Header
+        report.append(self._generate_header())
+        
+        # Executive Summary
+        report.append(self._generate_executive_summary(validation_results))
+        
+        # Detailed Results
+        report.append(self._generate_detailed_results(validation_results))
+        
+        # Slide Source Analysis
+        report.append(self._generate_slide_source_analysis(validation_results, slide_texts))
+        
+        # RAG Search Details
+        report.append(self._generate_rag_search_details(validation_results))
+        
+        # Recommendations
+        report.append(self._generate_recommendations(validation_results))
+        
+        return '\n\n'.join(report)
+    
+    def _generate_header(self) -> str:
+        """Generate report header"""
+        timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        return f"""# Market Cap Validation Report
+
+**Generated:** {timestamp}  
+**Report Type:** RAG-Enhanced Validation Analysis  
+**Validation Method:** OpenRouter Web Search Integration
+
+---
+"""
+    
+    def _generate_executive_summary(self, results: List[ValidationResult]) -> str:
+        """Generate executive summary section"""
+        total_claims = len(results)
+        accurate_claims = sum(1 for r in results if r.is_accurate)
+        inaccurate_claims = total_claims - accurate_claims
+        high_confidence = sum(1 for r in results if r.confidence_score > 0.7)
+        
+        accuracy_rate = (accurate_claims / total_claims * 100) if total_claims > 0 else 0
+        
+        return f"""## Executive Summary
+
+### Key Metrics
+- **Total Market Cap Claims Analyzed:** {total_claims}
+- **Claims Validated as Accurate:** {accurate_claims} ({accuracy_rate:.1f}%)
+- **Claims with Discrepancies:** {inaccurate_claims}
+- **High Confidence Validations:** {high_confidence}
+
+### Overall Assessment
+{'✅ **GOOD** - Most claims appear accurate' if accuracy_rate > 70 else '⚠️ **CAUTION** - Significant discrepancies found' if accuracy_rate < 50 else '🔍 **MIXED** - Some claims require verification'}
+
+---
+"""
+    
+    def _generate_detailed_results(self, results: List[ValidationResult]) -> str:
+        """Generate detailed validation results"""
+        if not results:
+            return "## Detailed Results\n\nNo market cap claims found in the analyzed slides.\n\n---"
+        
+        report = ["## Detailed Validation Results\n"]
+        
+        for i, result in enumerate(results, 1):
+            status_icon = "✅" if result.is_accurate else "❌" if result.discrepancy else "⚠️"
+            confidence_bar = self._generate_confidence_bar(result.confidence_score)
+            
+            report.append(f"""### {status_icon} Claim #{i}: {result.claim.company_name}
+
+**Slide Source:** Slide {result.claim.slide_number}  
+**Claimed Market Cap:** ${result.claim.claimed_market_cap}  
+**Raw Text:** `{result.claim.raw_text}`  
+**Confidence Score:** {confidence_bar} ({result.confidence_score:.2f})
+
+**Validation Results:**
+- **Validated Market Cap:** {result.validated_market_cap or 'Not found'}
+- **Validation Source:** {result.validation_source}
+- **Accuracy Status:** {'✅ Accurate' if result.is_accurate else '❌ Inaccurate' if result.discrepancy else '⚠️ Uncertain'}
+""")
+            
+            if result.discrepancy:
+                report.append(f"- **Discrepancy:** {result.discrepancy}")
+            
+            report.append(f"- **RAG Search Query:** `{result.rag_search_query}`")
+            report.append("")
+        
+        report.append("---")
+        return '\n'.join(report)
+    
+    def _generate_slide_source_analysis(self, results: List[ValidationResult], 
+                                      slide_texts: List[Dict[str, Any]]) -> str:
+        """Generate slide source analysis section"""
+        report = ["## Slide Source Analysis\n"]
+        
+        # Group results by slide
+        slide_claims = {}
+        for result in results:
+            slide_num = result.claim.slide_number
+            if slide_num not in slide_claims:
+                slide_claims[slide_num] = []
+            slide_claims[slide_num].append(result)
+        
+        # Find slide texts
+        slide_text_map = {s.get('slide_number', 0): s.get('text', '') for s in slide_texts}
+        
+        for slide_num in sorted(slide_claims.keys()):
+            claims = slide_claims[slide_num]
+            slide_text = slide_text_map.get(slide_num, 'No text available')
+            
+            report.append(f"""### Slide {slide_num} Analysis
+
+**Claims Found:** {len(claims)}  
+**Slide Text Preview:** {slide_text[:200]}{'...' if len(slide_text) > 200 else ''}
+
+**Claims Details:**""")
+            
+            for claim in claims:
+                status = "✅ Accurate" if any(r.claim == claim and r.is_accurate for r in results) else "❌ Inaccurate"
+                report.append(f"- {claim.company_name}: ${claim.claimed_market_cap} - {status}")
+            
+            report.append("")
+        
+        report.append("---")
+        return '\n'.join(report)
+    
+    def _generate_rag_search_details(self, results: List[ValidationResult]) -> str:
+        """Generate RAG search details section"""
+        report = ["## RAG Search Details\n"]
+        
+        report.append("### Search Methodology")
+        report.append("- **Search Engine:** OpenRouter with Exa integration")
+        report.append("- **Model:** Mistral Small with online search enabled")
+        report.append("- **Search Focus:** Current market cap data (2024-2025)")
+        report.append("- **Validation Threshold:** 80% accuracy tolerance")
+        report.append("")
+        
+        report.append("### Search Queries Used")
+        unique_queries = list(set(r.rag_search_query for r in results))
+        for i, query in enumerate(unique_queries, 1):
+            report.append(f"{i}. `{query}`")
+        report.append("")
+        
+        report.append("### Sample RAG Responses")
+        for i, result in enumerate(results[:3], 1):  # Show first 3 responses
+            report.append(f"""#### Response #{i}: {result.claim.company_name}
+```
+{result.rag_response[:300]}{'...' if len(result.rag_response) > 300 else ''}
+```""")
+        
+        report.append("---")
+        return '\n'.join(report)
+    
+    def _generate_recommendations(self, results: List[ValidationResult]) -> str:
+        """Generate recommendations section"""
+        inaccurate_results = [r for r in results if not r.is_accurate and r.discrepancy]
+        high_confidence_results = [r for r in results if r.confidence_score > 0.7]
+        
+        report = ["## Recommendations\n"]
+        
+        if inaccurate_results:
+            report.append("### ⚠️ Claims Requiring Attention")
+            for result in inaccurate_results:
+                report.append(f"- **Slide {result.claim.slide_number}:** {result.claim.company_name} - {result.discrepancy}")
+            report.append("")
+        
+        if high_confidence_results:
+            report.append("### ✅ High Confidence Validations")
+            report.append("The following claims were validated with high confidence:")
+            for result in high_confidence_results:
+                report.append(f"- **Slide {result.claim.slide_number}:** {result.claim.company_name} - ${result.claim.claimed_market_cap}")
+            report.append("")
+        
+        report.append("### 📋 General Recommendations")
+        report.append("1. **Verify Discrepancies:** Review claims marked as inaccurate with stakeholders")
+        report.append("2. **Update Sources:** Consider updating slide sources with more recent data")
+        report.append("3. **Regular Validation:** Implement periodic validation of financial claims")
+        report.append("4. **Source Attribution:** Always include data sources and dates in financial slides")
+        
+        report.append("\n---")
+        report.append("*Report generated by Market Cap RAG Validation Agent*")
+        
+        return '\n'.join(report)
+    
+    def _generate_confidence_bar(self, confidence: float) -> str:
+        """Generate a visual confidence bar"""
+        filled = int(confidence * 10)
+        empty = 10 - filled
+        return f"[{'█' * filled}{'░' * empty}]"
+    
+    def save_report(self, report: str, filename: str = None, processed_dir: str = "processed") -> str:
+        """Save report to file"""
+        if filename is None:
+            timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+            filename = f"market_cap_validation_report_{timestamp}.md"
+        
+        # Create processed directory if it doesn't exist
+        os.makedirs(processed_dir, exist_ok=True)
+        filepath = os.path.join(processed_dir, filename)
+        
+        with open(filepath, 'w', encoding='utf-8') as f:
+            f.write(report)
+        
+        return filepath
diff --git a/modules/working_app.py b/modules/working_app.py
new file mode 100644
index 0000000..721ac52
--- /dev/null
+++ b/modules/working_app.py
@@ -0,0 +1,62 @@
+#!/usr/bin/env python3
+
+import sys
+import os
+from pathlib import Path
+
+def process_pitch_deck(pdf_path):
+    """Working version that bypasses the signature mess"""
+    print(f"Processing: {pdf_path}")
+    
+    # Import everything we need
+    from client import get_openrouter_client
+    from pdf_processor import extract_slides_from_pdf
+    from analysis import analyze_slides_batch
+    
+    # Extract slides (this works)
+    slides = extract_slides_from_pdf(pdf_path, "processed", Path(pdf_path).stem)
+    print(f"Extracted {len(slides)} slides")
+    
+    # Analyze slides (this works)
+    client = get_openrouter_client()
+    analysis_results = analyze_slides_batch(client, slides)
+    print("Analysis complete")
+    
+    # Create report manually (bypass the broken create_slide_markdown)
+    markdown_content = f"# Pitch Deck Analysis: {Path(pdf_path).stem}\n\n"
+    
+    for i, slide_data in enumerate(slides):
+        slide_num = i + 1
+        analysis = analysis_results.get(slide_num, {})
+        
+        markdown_content += f"## Slide {slide_num}\n\n"
+        markdown_content += f"![Slide {slide_num}](slides/{slide_data['filename']})\n\n"
+        
+        if analysis:
+            markdown_content += f"**Analysis:**\n{analysis}\n\n"
+        else:
+            markdown_content += "**Analysis:** No analysis available\n\n"
+        
+        markdown_content += "---\n\n"
+    
+    # Save report
+    output_file = f"processed/{Path(pdf_path).stem}_analysis.md"
+    os.makedirs("processed", exist_ok=True)
+    
+    with open(output_file, 'w', encoding='utf-8') as f:
+        f.write(markdown_content)
+    
+    print(f"Report saved to: {output_file}")
+    return output_file
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python working_app.py <pdf_path>")
+        sys.exit(1)
+    
+    pdf_path = sys.argv[1]
+    if not os.path.exists(pdf_path):
+        print(f"Error: File '{pdf_path}' not found")
+        sys.exit(1)
+    
+    process_pitch_deck(pdf_path)
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diff --git a/processed/AirBnB_Pitch_Deck_analysis.md b/processed/AirBnB_Pitch_Deck_analysis.md
new file mode 100644
index 0000000..17ec54d
--- /dev/null
+++ b/processed/AirBnB_Pitch_Deck_analysis.md
@@ -0,0 +1,3707 @@
+# Pitch Deck Analysis: AirBnB_Pitch_Deck
+
+## Table of Contents
+
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [Data Interpreter](#data-interpreter)
+  - [Message Evaluator](#message-evaluator)
+  - [Improvement Suggestor](#improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [Slide 7 Analysis](#slide-7-analysis)
+    - [1. Content Extractor](#1-content-extractor)
+    - [2. Visual Analyzer](#2-visual-analyzer)
+    - [3. Data Interpreter](#3-data-interpreter)
+    - [4. Message Evaluator](#4-message-evaluator)
+    - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [Slide 7 Analysis](#slide-7-analysis)
+    - [1. Content Extractor](#1-content-extractor)
+    - [2. Visual Analyzer](#2-visual-analyzer)
+    - [3. Data Interpreter](#3-data-interpreter)
+    - [4. Message Evaluator](#4-message-evaluator)
+    - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [Slide 7 Analysis](#slide-7-analysis)
+    - [1. Content Extractor](#1-content-extractor)
+    - [2. Visual Analyzer](#2-visual-analyzer)
+    - [3. Data Interpreter](#3-data-interpreter)
+    - [4. Message Evaluator](#4-message-evaluator)
+    - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [Slide 7 Analysis](#slide-7-analysis)
+    - [1. Content Extractor](#1-content-extractor)
+    - [2. Visual Analyzer](#2-visual-analyzer)
+    - [3. Data Interpreter](#3-data-interpreter)
+    - [4. Message Evaluator](#4-message-evaluator)
+    - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [Slide 7 Analysis](#slide-7-analysis)
+    - [1. Content Extractor](#1-content-extractor)
+    - [2. Visual Analyzer](#2-visual-analyzer)
+    - [3. Data Interpreter](#3-data-interpreter)
+    - [4. Message Evaluator](#4-message-evaluator)
+    - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [Data Interpreter](#data-interpreter)
+  - [Message Evaluator](#message-evaluator)
+  - [Improvement Suggestor](#improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [Data Interpreter](#data-interpreter)
+  - [Message Evaluator](#message-evaluator)
+  - [Improvement Suggestor](#improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+- [Agentic Analysis](#agentic-analysis)
+  - [Content Extractor](#content-extractor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Visual Analyzer](#visual-analyzer)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Data Interpreter](#data-interpreter)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Message Evaluator](#message-evaluator)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+  - [Improvement Suggestor](#improvement-suggestor)
+  - [1. Content Extractor](#1-content-extractor)
+  - [2. Visual Analyzer](#2-visual-analyzer)
+  - [3. Data Interpreter](#3-data-interpreter)
+  - [4. Message Evaluator](#4-message-evaluator)
+  - [5. Improvement Suggestor](#5-improvement-suggestor)
+
+---
+
+This analysis was generated using multiple AI agents, each specialized in different aspects of slide evaluation.
+
+**Source File:** `AirBnB_Pitch_Deck.pdf` (PDF)
+**Analysis Generated:** 18 slides processed
+**Processing Method:** Individual processing with specialized AI agents
+**Text Extraction:** Docling-powered text transcription
+
+# Slide 1
+
+![Slide 1](slides/AirBnB_Pitch_Deck_slide_001.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+- **Title**: "airbnb pitch deck"
+- **Subtitle**: "Book rooms with locals rather than hotels"
+- **Placeholder**: "[Your name]"
+
+### Visual Analyzer
+
+- **Layout**: Simple and clean, centering the text and maintaining enough whitespace for readability.
+- **Color Scheme**: Predominantly light gray background with a prominent red block that may signify important information. The red may evoke warmth and friendliness, aligning with Airbnb's brand values.
+- **Typography**: Uses a modern, sans-serif font that is easy to read. The differentiation in font weights (larger for the title and lighter for the subtitle) creates a hierarchy that guides the viewer's eye.
+
+### Data Interpreter
+
+- There are no numerical data, charts, or graphs on this slide. The content focuses on a tagline and branding instead of presenting quantitative information.
+
+### Message Evaluator
+
+- **Effectiveness**: The message is straightforward and communicates the value proposition clearly: an alternative to traditional hotel accommodation by connecting travelers with locals.
+- **Clarity**: The intended message is clear, but the placeholder for “[Your name]” may detract from professionalism if not filled out in a final presentation.
+
+### Improvement Suggestor
+
+- **Personalization**: Ensure that the placeholder "[Your name]" is filled in before presenting to enhance credibility.
+- **Visual Hierarchy**: Consider varying the size of the red block to better integrate it into the slide rather than placing it as a separate element.
+- **Tagline Enhancement**: You could slightly expand the tagline to add emotional appeal, such as "Experience the city like a local – book rooms with locals rather than hotels." This would invite more engagement.
+- **Brand Consistency**: Include the Airbnb logo in a more curated way, possibly integrating it into the slide's layout to enhance brand recognition.
+
+---
+
+# Slide 2
+
+![Slide 2](slides/AirBnB_Pitch_Deck_slide_002.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+Here’s the analysis of slide 2 by the five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Main Heading**: Problem
+- **Bullet Points**:
+  - Price is a significant concern for customers booking travel online.
+  - Hotels disconnect travelers from the city's culture.
+  - Difficulty in booking rooms with locals or becoming a host.
+
+### 2. Visual Analyzer
+**Visual Design Elements**:
+- **Color Scheme**: The slide uses a soft light background with a standout red box for the "Problem" heading, emphasizing its importance.
+- **Layout**: Clear and minimalistic layout with adequate spacing between points, enhancing readability.
+- **Typography**: A mix of bold for emphasis on keywords (e.g., 'Price', 'Hotels', 'No easy way') and regular font for the remaining text. This adds hierarchy but could be more visually engaging.
+
+### 3. Data Interpreter
+**Numerical Data**: 
+- The slide does not present numerical data or metrics. It focuses on qualitative concerns of travelers rather than quantifiable issues.
+
+### 4. Message Evaluator
+**Message Delivery**:
+- **Clarity**: The problem statement is clear, outlining three main concerns succinctly.
+- **Impact**: The message effectively conveys pain points related to traditional hotel bookings and offers a rationale for Airbnb's services. However, it could benefit from a bit more emotional appeal to resonate with the audience.
+
+### 5. Improvement Suggestor
+**Specific Improvements**:
+- **Visual Hierarchy**: Consider using bullet points with icons to enhance engagement and comprehension.
+- **Emphasize Emotional Impact**: Adding a brief anecdote or quote to illustrate the disconnect felt by travelers could make the slide more relatable.
+- **Data Inclusion**: Incorporate statistics or survey results about traveler pain points (e.g., percentages of travelers who feel disconnected while staying in hotels) to strengthen the argument.
+- **Add Call to Action**: A subtle call to action at the end could help transition into the solution offered by Airbnb in subsequent slides.
+
+This analysis provides a comprehensive understanding of the strengths and areas for improvement in the slide.
+
+### Visual Analyzer
+
+Here’s the analysis of slide 2 by the five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Main Heading**: Problem
+- **Bullet Points**:
+  - Price is a significant concern for customers booking travel online.
+  - Hotels disconnect travelers from the city's culture.
+  - Difficulty in booking rooms with locals or becoming a host.
+
+### 2. Visual Analyzer
+**Visual Design Elements**:
+- **Color Scheme**: The slide uses a soft light background with a standout red box for the "Problem" heading, emphasizing its importance.
+- **Layout**: Clear and minimalistic layout with adequate spacing between points, enhancing readability.
+- **Typography**: A mix of bold for emphasis on keywords (e.g., 'Price', 'Hotels', 'No easy way') and regular font for the remaining text. This adds hierarchy but could be more visually engaging.
+
+### 3. Data Interpreter
+**Numerical Data**: 
+- The slide does not present numerical data or metrics. It focuses on qualitative concerns of travelers rather than quantifiable issues.
+
+### 4. Message Evaluator
+**Message Delivery**:
+- **Clarity**: The problem statement is clear, outlining three main concerns succinctly.
+- **Impact**: The message effectively conveys pain points related to traditional hotel bookings and offers a rationale for Airbnb's services. However, it could benefit from a bit more emotional appeal to resonate with the audience.
+
+### 5. Improvement Suggestor
+**Specific Improvements**:
+- **Visual Hierarchy**: Consider using bullet points with icons to enhance engagement and comprehension.
+- **Emphasize Emotional Impact**: Adding a brief anecdote or quote to illustrate the disconnect felt by travelers could make the slide more relatable.
+- **Data Inclusion**: Incorporate statistics or survey results about traveler pain points (e.g., percentages of travelers who feel disconnected while staying in hotels) to strengthen the argument.
+- **Add Call to Action**: A subtle call to action at the end could help transition into the solution offered by Airbnb in subsequent slides.
+
+This analysis provides a comprehensive understanding of the strengths and areas for improvement in the slide.
+
+### Data Interpreter
+
+Here’s the analysis of slide 2 by the five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Main Heading**: Problem
+- **Bullet Points**:
+  - Price is a significant concern for customers booking travel online.
+  - Hotels disconnect travelers from the city's culture.
+  - Difficulty in booking rooms with locals or becoming a host.
+
+### 2. Visual Analyzer
+**Visual Design Elements**:
+- **Color Scheme**: The slide uses a soft light background with a standout red box for the "Problem" heading, emphasizing its importance.
+- **Layout**: Clear and minimalistic layout with adequate spacing between points, enhancing readability.
+- **Typography**: A mix of bold for emphasis on keywords (e.g., 'Price', 'Hotels', 'No easy way') and regular font for the remaining text. This adds hierarchy but could be more visually engaging.
+
+### 3. Data Interpreter
+**Numerical Data**: 
+- The slide does not present numerical data or metrics. It focuses on qualitative concerns of travelers rather than quantifiable issues.
+
+### 4. Message Evaluator
+**Message Delivery**:
+- **Clarity**: The problem statement is clear, outlining three main concerns succinctly.
+- **Impact**: The message effectively conveys pain points related to traditional hotel bookings and offers a rationale for Airbnb's services. However, it could benefit from a bit more emotional appeal to resonate with the audience.
+
+### 5. Improvement Suggestor
+**Specific Improvements**:
+- **Visual Hierarchy**: Consider using bullet points with icons to enhance engagement and comprehension.
+- **Emphasize Emotional Impact**: Adding a brief anecdote or quote to illustrate the disconnect felt by travelers could make the slide more relatable.
+- **Data Inclusion**: Incorporate statistics or survey results about traveler pain points (e.g., percentages of travelers who feel disconnected while staying in hotels) to strengthen the argument.
+- **Add Call to Action**: A subtle call to action at the end could help transition into the solution offered by Airbnb in subsequent slides.
+
+This analysis provides a comprehensive understanding of the strengths and areas for improvement in the slide.
+
+### Message Evaluator
+
+Here’s the analysis of slide 2 by the five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Main Heading**: Problem
+- **Bullet Points**:
+  - Price is a significant concern for customers booking travel online.
+  - Hotels disconnect travelers from the city's culture.
+  - Difficulty in booking rooms with locals or becoming a host.
+
+### 2. Visual Analyzer
+**Visual Design Elements**:
+- **Color Scheme**: The slide uses a soft light background with a standout red box for the "Problem" heading, emphasizing its importance.
+- **Layout**: Clear and minimalistic layout with adequate spacing between points, enhancing readability.
+- **Typography**: A mix of bold for emphasis on keywords (e.g., 'Price', 'Hotels', 'No easy way') and regular font for the remaining text. This adds hierarchy but could be more visually engaging.
+
+### 3. Data Interpreter
+**Numerical Data**: 
+- The slide does not present numerical data or metrics. It focuses on qualitative concerns of travelers rather than quantifiable issues.
+
+### 4. Message Evaluator
+**Message Delivery**:
+- **Clarity**: The problem statement is clear, outlining three main concerns succinctly.
+- **Impact**: The message effectively conveys pain points related to traditional hotel bookings and offers a rationale for Airbnb's services. However, it could benefit from a bit more emotional appeal to resonate with the audience.
+
+### 5. Improvement Suggestor
+**Specific Improvements**:
+- **Visual Hierarchy**: Consider using bullet points with icons to enhance engagement and comprehension.
+- **Emphasize Emotional Impact**: Adding a brief anecdote or quote to illustrate the disconnect felt by travelers could make the slide more relatable.
+- **Data Inclusion**: Incorporate statistics or survey results about traveler pain points (e.g., percentages of travelers who feel disconnected while staying in hotels) to strengthen the argument.
+- **Add Call to Action**: A subtle call to action at the end could help transition into the solution offered by Airbnb in subsequent slides.
+
+This analysis provides a comprehensive understanding of the strengths and areas for improvement in the slide.
+
+### Improvement Suggestor
+
+Here’s the analysis of slide 2 by the five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Main Heading**: Problem
+- **Bullet Points**:
+  - Price is a significant concern for customers booking travel online.
+  - Hotels disconnect travelers from the city's culture.
+  - Difficulty in booking rooms with locals or becoming a host.
+
+### 2. Visual Analyzer
+**Visual Design Elements**:
+- **Color Scheme**: The slide uses a soft light background with a standout red box for the "Problem" heading, emphasizing its importance.
+- **Layout**: Clear and minimalistic layout with adequate spacing between points, enhancing readability.
+- **Typography**: A mix of bold for emphasis on keywords (e.g., 'Price', 'Hotels', 'No easy way') and regular font for the remaining text. This adds hierarchy but could be more visually engaging.
+
+### 3. Data Interpreter
+**Numerical Data**: 
+- The slide does not present numerical data or metrics. It focuses on qualitative concerns of travelers rather than quantifiable issues.
+
+### 4. Message Evaluator
+**Message Delivery**:
+- **Clarity**: The problem statement is clear, outlining three main concerns succinctly.
+- **Impact**: The message effectively conveys pain points related to traditional hotel bookings and offers a rationale for Airbnb's services. However, it could benefit from a bit more emotional appeal to resonate with the audience.
+
+### 5. Improvement Suggestor
+**Specific Improvements**:
+- **Visual Hierarchy**: Consider using bullet points with icons to enhance engagement and comprehension.
+- **Emphasize Emotional Impact**: Adding a brief anecdote or quote to illustrate the disconnect felt by travelers could make the slide more relatable.
+- **Data Inclusion**: Incorporate statistics or survey results about traveler pain points (e.g., percentages of travelers who feel disconnected while staying in hotels) to strengthen the argument.
+- **Add Call to Action**: A subtle call to action at the end could help transition into the solution offered by Airbnb in subsequent slides.
+
+This analysis provides a comprehensive understanding of the strengths and areas for improvement in the slide.
+
+---
+
+# Slide 3
+
+![Slide 3](slides/AirBnB_Pitch_Deck_slide_003.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+Here’s the analysis of slide 3 from the perspective of five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Solution"
+- Description: "A web platform where users can rent out their space to host travelers to"
+- Key Points:
+  - "Save Money" when traveling
+  - "Make Money" when hosting
+  - "Share Culture" with local connection to the city
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is straightforward, with a clear hierarchy. The title stands out at the top, followed by a short description and three main points visually separated.
+- **Colors:** A calm and neutral background contrasts with the vibrant red visuals surrounding the key points, making them prominent and drawing the viewer's attention.
+- **Typography:** The title uses a bold, sans-serif font for emphasis, while the descriptions below use a more subdued font. This hierarchy effectively guides the audience's eye.
+- **Icons:** Simple and intuitive icons represent each key point, adding visual interest and quick comprehension.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- The slide does not contain explicit numerical data or charts, but the implications are clear:
+  - The value proposition indicates a potential increase in savings for travelers and income generation for hosts, suggesting a mutually beneficial relationship.
+- The presented ideas imply market potential, though specific metrics or market size are not provided.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The message is clear and concise, effectively communicating the value of the web platform.
+- The three key points succinctly outline the benefits for potential users, making it easy for the audience to grasp the platform's purpose.
+- However, the sentence "to host travelers to" appears incomplete and might lead to confusion.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+1. **Clarify the Description:** Revise the sentence to complete the thought, such as "A web platform where users can rent out their space to host travelers and earn additional income."
+2. **Refine Icons:** Ensure that the icons are universally recognizable and aligned in style for visual coherence.
+3. **Add a Visual Element:** Consider including a background image or textured element to make the slide more visually engaging without distracting from the text.
+4. **Emphasize Benefits:** Use a consistent format for benefits, perhaps beginning each point with an action verb (e.g., "Save Money," "Earn Money," "Experience Culture") for parallelism.
+5. **Include a Call to Action:** Introduce a compelling call to action that prompts the audience to engage further with the platform.
+
+These improvements can enhance clarity and impact, making the slide more effective in communicating the solution's value.
+
+### Visual Analyzer
+
+Here’s the analysis of slide 3 from the perspective of five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Solution"
+- Description: "A web platform where users can rent out their space to host travelers to"
+- Key Points:
+  - "Save Money" when traveling
+  - "Make Money" when hosting
+  - "Share Culture" with local connection to the city
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is straightforward, with a clear hierarchy. The title stands out at the top, followed by a short description and three main points visually separated.
+- **Colors:** A calm and neutral background contrasts with the vibrant red visuals surrounding the key points, making them prominent and drawing the viewer's attention.
+- **Typography:** The title uses a bold, sans-serif font for emphasis, while the descriptions below use a more subdued font. This hierarchy effectively guides the audience's eye.
+- **Icons:** Simple and intuitive icons represent each key point, adding visual interest and quick comprehension.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- The slide does not contain explicit numerical data or charts, but the implications are clear:
+  - The value proposition indicates a potential increase in savings for travelers and income generation for hosts, suggesting a mutually beneficial relationship.
+- The presented ideas imply market potential, though specific metrics or market size are not provided.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The message is clear and concise, effectively communicating the value of the web platform.
+- The three key points succinctly outline the benefits for potential users, making it easy for the audience to grasp the platform's purpose.
+- However, the sentence "to host travelers to" appears incomplete and might lead to confusion.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+1. **Clarify the Description:** Revise the sentence to complete the thought, such as "A web platform where users can rent out their space to host travelers and earn additional income."
+2. **Refine Icons:** Ensure that the icons are universally recognizable and aligned in style for visual coherence.
+3. **Add a Visual Element:** Consider including a background image or textured element to make the slide more visually engaging without distracting from the text.
+4. **Emphasize Benefits:** Use a consistent format for benefits, perhaps beginning each point with an action verb (e.g., "Save Money," "Earn Money," "Experience Culture") for parallelism.
+5. **Include a Call to Action:** Introduce a compelling call to action that prompts the audience to engage further with the platform.
+
+These improvements can enhance clarity and impact, making the slide more effective in communicating the solution's value.
+
+### Data Interpreter
+
+Here’s the analysis of slide 3 from the perspective of five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Solution"
+- Description: "A web platform where users can rent out their space to host travelers to"
+- Key Points:
+  - "Save Money" when traveling
+  - "Make Money" when hosting
+  - "Share Culture" with local connection to the city
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is straightforward, with a clear hierarchy. The title stands out at the top, followed by a short description and three main points visually separated.
+- **Colors:** A calm and neutral background contrasts with the vibrant red visuals surrounding the key points, making them prominent and drawing the viewer's attention.
+- **Typography:** The title uses a bold, sans-serif font for emphasis, while the descriptions below use a more subdued font. This hierarchy effectively guides the audience's eye.
+- **Icons:** Simple and intuitive icons represent each key point, adding visual interest and quick comprehension.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- The slide does not contain explicit numerical data or charts, but the implications are clear:
+  - The value proposition indicates a potential increase in savings for travelers and income generation for hosts, suggesting a mutually beneficial relationship.
+- The presented ideas imply market potential, though specific metrics or market size are not provided.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The message is clear and concise, effectively communicating the value of the web platform.
+- The three key points succinctly outline the benefits for potential users, making it easy for the audience to grasp the platform's purpose.
+- However, the sentence "to host travelers to" appears incomplete and might lead to confusion.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+1. **Clarify the Description:** Revise the sentence to complete the thought, such as "A web platform where users can rent out their space to host travelers and earn additional income."
+2. **Refine Icons:** Ensure that the icons are universally recognizable and aligned in style for visual coherence.
+3. **Add a Visual Element:** Consider including a background image or textured element to make the slide more visually engaging without distracting from the text.
+4. **Emphasize Benefits:** Use a consistent format for benefits, perhaps beginning each point with an action verb (e.g., "Save Money," "Earn Money," "Experience Culture") for parallelism.
+5. **Include a Call to Action:** Introduce a compelling call to action that prompts the audience to engage further with the platform.
+
+These improvements can enhance clarity and impact, making the slide more effective in communicating the solution's value.
+
+### Message Evaluator
+
+Here’s the analysis of slide 3 from the perspective of five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Solution"
+- Description: "A web platform where users can rent out their space to host travelers to"
+- Key Points:
+  - "Save Money" when traveling
+  - "Make Money" when hosting
+  - "Share Culture" with local connection to the city
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is straightforward, with a clear hierarchy. The title stands out at the top, followed by a short description and three main points visually separated.
+- **Colors:** A calm and neutral background contrasts with the vibrant red visuals surrounding the key points, making them prominent and drawing the viewer's attention.
+- **Typography:** The title uses a bold, sans-serif font for emphasis, while the descriptions below use a more subdued font. This hierarchy effectively guides the audience's eye.
+- **Icons:** Simple and intuitive icons represent each key point, adding visual interest and quick comprehension.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- The slide does not contain explicit numerical data or charts, but the implications are clear:
+  - The value proposition indicates a potential increase in savings for travelers and income generation for hosts, suggesting a mutually beneficial relationship.
+- The presented ideas imply market potential, though specific metrics or market size are not provided.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The message is clear and concise, effectively communicating the value of the web platform.
+- The three key points succinctly outline the benefits for potential users, making it easy for the audience to grasp the platform's purpose.
+- However, the sentence "to host travelers to" appears incomplete and might lead to confusion.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+1. **Clarify the Description:** Revise the sentence to complete the thought, such as "A web platform where users can rent out their space to host travelers and earn additional income."
+2. **Refine Icons:** Ensure that the icons are universally recognizable and aligned in style for visual coherence.
+3. **Add a Visual Element:** Consider including a background image or textured element to make the slide more visually engaging without distracting from the text.
+4. **Emphasize Benefits:** Use a consistent format for benefits, perhaps beginning each point with an action verb (e.g., "Save Money," "Earn Money," "Experience Culture") for parallelism.
+5. **Include a Call to Action:** Introduce a compelling call to action that prompts the audience to engage further with the platform.
+
+These improvements can enhance clarity and impact, making the slide more effective in communicating the solution's value.
+
+### Improvement Suggestor
+
+Here’s the analysis of slide 3 from the perspective of five specialized agents:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Solution"
+- Description: "A web platform where users can rent out their space to host travelers to"
+- Key Points:
+  - "Save Money" when traveling
+  - "Make Money" when hosting
+  - "Share Culture" with local connection to the city
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is straightforward, with a clear hierarchy. The title stands out at the top, followed by a short description and three main points visually separated.
+- **Colors:** A calm and neutral background contrasts with the vibrant red visuals surrounding the key points, making them prominent and drawing the viewer's attention.
+- **Typography:** The title uses a bold, sans-serif font for emphasis, while the descriptions below use a more subdued font. This hierarchy effectively guides the audience's eye.
+- **Icons:** Simple and intuitive icons represent each key point, adding visual interest and quick comprehension.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- The slide does not contain explicit numerical data or charts, but the implications are clear:
+  - The value proposition indicates a potential increase in savings for travelers and income generation for hosts, suggesting a mutually beneficial relationship.
+- The presented ideas imply market potential, though specific metrics or market size are not provided.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The message is clear and concise, effectively communicating the value of the web platform.
+- The three key points succinctly outline the benefits for potential users, making it easy for the audience to grasp the platform's purpose.
+- However, the sentence "to host travelers to" appears incomplete and might lead to confusion.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+1. **Clarify the Description:** Revise the sentence to complete the thought, such as "A web platform where users can rent out their space to host travelers and earn additional income."
+2. **Refine Icons:** Ensure that the icons are universally recognizable and aligned in style for visual coherence.
+3. **Add a Visual Element:** Consider including a background image or textured element to make the slide more visually engaging without distracting from the text.
+4. **Emphasize Benefits:** Use a consistent format for benefits, perhaps beginning each point with an action verb (e.g., "Save Money," "Earn Money," "Experience Culture") for parallelism.
+5. **Include a Call to Action:** Introduce a compelling call to action that prompts the audience to engage further with the platform.
+
+These improvements can enhance clarity and impact, making the slide more effective in communicating the solution's value.
+
+---
+
+# Slide 4
+
+![Slide 4](slides/AirBnB_Pitch_Deck_slide_004.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+Here's the analysis of slide 4 from five specialized perspectives:
+
+### 1. Content Extractor
+- **Title**: Market Validation
+- **Website 1**: couchsurfing.com
+  - Total users: 670,000
+- **Website 2**: craigslist.com
+  - Temporary housing listings in SF & NYC: 17,000 (from July 9 to July 16)
+
+### 2. Visual Analyzer
+- **Design Elements**: The slide uses a clean layout with a balanced distribution of text and graphics, which enhances readability.
+- **Color Scheme**: The use of a coral accent color (left bar) contrasts well with a predominantly white background, drawing attention effectively.
+- **Typography**: The font choices are modern and legible, with a clear distinction between titles and content.
+
+### 3. Data Interpreter
+- **Couchsurfing.com**: Suggests a substantial user base, indicating a potential market for shared temporary housing.
+- **Craigslist.com**: The number of listings (17,000) reflects a significant level of demand in two major urban areas (San Francisco and New York City) within a defined time frame, illustrating active participation in the temporary housing market.
+
+### 4. Message Evaluator
+- **Clarity**: The slide effectively communicates key statistics that validate the market for temporary housing options.
+- **Impact**: The contrast in user numbers between couchsurfing.com and Craigslist.com may suggest that Couchsurfing is more about user engagement in community-oriented stays, while Craigslist offers a transactional model.
+- **Engagement**: Use of logos aids recognition but could enhance brand association.
+
+### 5. Improvement Suggestor
+- **Data Context**: Provide context or interpretation for the statistics (e.g., growth rate, average duration of stay) to deepen understanding.
+- **Visual Hierarchy**: Consider increasing the size or weight of the title "Market Validation" for stronger emphasis.
+- **Source Attribution**: Including footnotes for where data was obtained might improve the credibility of the statistics presented.
+- **Comparison Clarity**: Using a visual comparison (like a bar chart) could make the data more digestible and visually engaging for the audience.
+
+### Visual Analyzer
+
+Here's the analysis of slide 4 from five specialized perspectives:
+
+### 1. Content Extractor
+- **Title**: Market Validation
+- **Website 1**: couchsurfing.com
+  - Total users: 670,000
+- **Website 2**: craigslist.com
+  - Temporary housing listings in SF & NYC: 17,000 (from July 9 to July 16)
+
+### 2. Visual Analyzer
+- **Design Elements**: The slide uses a clean layout with a balanced distribution of text and graphics, which enhances readability.
+- **Color Scheme**: The use of a coral accent color (left bar) contrasts well with a predominantly white background, drawing attention effectively.
+- **Typography**: The font choices are modern and legible, with a clear distinction between titles and content.
+
+### 3. Data Interpreter
+- **Couchsurfing.com**: Suggests a substantial user base, indicating a potential market for shared temporary housing.
+- **Craigslist.com**: The number of listings (17,000) reflects a significant level of demand in two major urban areas (San Francisco and New York City) within a defined time frame, illustrating active participation in the temporary housing market.
+
+### 4. Message Evaluator
+- **Clarity**: The slide effectively communicates key statistics that validate the market for temporary housing options.
+- **Impact**: The contrast in user numbers between couchsurfing.com and Craigslist.com may suggest that Couchsurfing is more about user engagement in community-oriented stays, while Craigslist offers a transactional model.
+- **Engagement**: Use of logos aids recognition but could enhance brand association.
+
+### 5. Improvement Suggestor
+- **Data Context**: Provide context or interpretation for the statistics (e.g., growth rate, average duration of stay) to deepen understanding.
+- **Visual Hierarchy**: Consider increasing the size or weight of the title "Market Validation" for stronger emphasis.
+- **Source Attribution**: Including footnotes for where data was obtained might improve the credibility of the statistics presented.
+- **Comparison Clarity**: Using a visual comparison (like a bar chart) could make the data more digestible and visually engaging for the audience.
+
+### Data Interpreter
+
+Here's the analysis of slide 4 from five specialized perspectives:
+
+### 1. Content Extractor
+- **Title**: Market Validation
+- **Website 1**: couchsurfing.com
+  - Total users: 670,000
+- **Website 2**: craigslist.com
+  - Temporary housing listings in SF & NYC: 17,000 (from July 9 to July 16)
+
+### 2. Visual Analyzer
+- **Design Elements**: The slide uses a clean layout with a balanced distribution of text and graphics, which enhances readability.
+- **Color Scheme**: The use of a coral accent color (left bar) contrasts well with a predominantly white background, drawing attention effectively.
+- **Typography**: The font choices are modern and legible, with a clear distinction between titles and content.
+
+### 3. Data Interpreter
+- **Couchsurfing.com**: Suggests a substantial user base, indicating a potential market for shared temporary housing.
+- **Craigslist.com**: The number of listings (17,000) reflects a significant level of demand in two major urban areas (San Francisco and New York City) within a defined time frame, illustrating active participation in the temporary housing market.
+
+### 4. Message Evaluator
+- **Clarity**: The slide effectively communicates key statistics that validate the market for temporary housing options.
+- **Impact**: The contrast in user numbers between couchsurfing.com and Craigslist.com may suggest that Couchsurfing is more about user engagement in community-oriented stays, while Craigslist offers a transactional model.
+- **Engagement**: Use of logos aids recognition but could enhance brand association.
+
+### 5. Improvement Suggestor
+- **Data Context**: Provide context or interpretation for the statistics (e.g., growth rate, average duration of stay) to deepen understanding.
+- **Visual Hierarchy**: Consider increasing the size or weight of the title "Market Validation" for stronger emphasis.
+- **Source Attribution**: Including footnotes for where data was obtained might improve the credibility of the statistics presented.
+- **Comparison Clarity**: Using a visual comparison (like a bar chart) could make the data more digestible and visually engaging for the audience.
+
+### Message Evaluator
+
+Here's the analysis of slide 4 from five specialized perspectives:
+
+### 1. Content Extractor
+- **Title**: Market Validation
+- **Website 1**: couchsurfing.com
+  - Total users: 670,000
+- **Website 2**: craigslist.com
+  - Temporary housing listings in SF & NYC: 17,000 (from July 9 to July 16)
+
+### 2. Visual Analyzer
+- **Design Elements**: The slide uses a clean layout with a balanced distribution of text and graphics, which enhances readability.
+- **Color Scheme**: The use of a coral accent color (left bar) contrasts well with a predominantly white background, drawing attention effectively.
+- **Typography**: The font choices are modern and legible, with a clear distinction between titles and content.
+
+### 3. Data Interpreter
+- **Couchsurfing.com**: Suggests a substantial user base, indicating a potential market for shared temporary housing.
+- **Craigslist.com**: The number of listings (17,000) reflects a significant level of demand in two major urban areas (San Francisco and New York City) within a defined time frame, illustrating active participation in the temporary housing market.
+
+### 4. Message Evaluator
+- **Clarity**: The slide effectively communicates key statistics that validate the market for temporary housing options.
+- **Impact**: The contrast in user numbers between couchsurfing.com and Craigslist.com may suggest that Couchsurfing is more about user engagement in community-oriented stays, while Craigslist offers a transactional model.
+- **Engagement**: Use of logos aids recognition but could enhance brand association.
+
+### 5. Improvement Suggestor
+- **Data Context**: Provide context or interpretation for the statistics (e.g., growth rate, average duration of stay) to deepen understanding.
+- **Visual Hierarchy**: Consider increasing the size or weight of the title "Market Validation" for stronger emphasis.
+- **Source Attribution**: Including footnotes for where data was obtained might improve the credibility of the statistics presented.
+- **Comparison Clarity**: Using a visual comparison (like a bar chart) could make the data more digestible and visually engaging for the audience.
+
+### Improvement Suggestor
+
+Here's the analysis of slide 4 from five specialized perspectives:
+
+### 1. Content Extractor
+- **Title**: Market Validation
+- **Website 1**: couchsurfing.com
+  - Total users: 670,000
+- **Website 2**: craigslist.com
+  - Temporary housing listings in SF & NYC: 17,000 (from July 9 to July 16)
+
+### 2. Visual Analyzer
+- **Design Elements**: The slide uses a clean layout with a balanced distribution of text and graphics, which enhances readability.
+- **Color Scheme**: The use of a coral accent color (left bar) contrasts well with a predominantly white background, drawing attention effectively.
+- **Typography**: The font choices are modern and legible, with a clear distinction between titles and content.
+
+### 3. Data Interpreter
+- **Couchsurfing.com**: Suggests a substantial user base, indicating a potential market for shared temporary housing.
+- **Craigslist.com**: The number of listings (17,000) reflects a significant level of demand in two major urban areas (San Francisco and New York City) within a defined time frame, illustrating active participation in the temporary housing market.
+
+### 4. Message Evaluator
+- **Clarity**: The slide effectively communicates key statistics that validate the market for temporary housing options.
+- **Impact**: The contrast in user numbers between couchsurfing.com and Craigslist.com may suggest that Couchsurfing is more about user engagement in community-oriented stays, while Craigslist offers a transactional model.
+- **Engagement**: Use of logos aids recognition but could enhance brand association.
+
+### 5. Improvement Suggestor
+- **Data Context**: Provide context or interpretation for the statistics (e.g., growth rate, average duration of stay) to deepen understanding.
+- **Visual Hierarchy**: Consider increasing the size or weight of the title "Market Validation" for stronger emphasis.
+- **Source Attribution**: Including footnotes for where data was obtained might improve the credibility of the statistics presented.
+- **Comparison Clarity**: Using a visual comparison (like a bar chart) could make the data more digestible and visually engaging for the audience.
+
+---
+
+# Slide 5
+
+![Slide 5](slides/AirBnB_Pitch_Deck_slide_005.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: **Market Size**
+- Statistics:
+  - **Total Available Market:** 2 Billion Trips Booked (Worldwide)
+    - Source: Travel Industry Assn. of America and World Tourism Organization.
+  - **Serviceable Available Market:** $560+ Million Budget & Online
+    - Source: comScore
+  - **Share of Market:** 84 Million Trips with AirBnB
+    - 15% of available market
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide uses a clear and simple layout with statistics prominently displayed.
+- **Color:** The use of red accents for important figures and headers contrasts well with the grey background, enhancing readability.
+- **Typography:** The title uses a large, bold font, while the key figures are highlighted, making it easy to scan the information quickly.
+- **Balance:** The three sections (Total Available Market, Serviceable Available Market, Share of Market) are evenly spaced, maintaining a balanced design.
+
+### 3. Data Interpreter
+**Numerical Data Interpretation:**
+- **Total Available Market:** Indicates a very large potential market with 2 billion trips, suggesting significant industry activity.
+- **Serviceable Available Market:** The $560 million represents a specific segment of the travel market that is budgeted for online bookings, hinting at a targeted opportunity.
+- **Share of Market:** The 84 million trips booked through AirBnB, representing 15% of the available market, indicates AirBnB’s substantial presence in the marketplace.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively communicates the potential size of the market and specific segments.
+- The inclusion of credible sources for each statistic helps establish trust and authority.
+- However, the message could be enhanced by providing context for the significance of these numbers (e.g., market growth trends or comparison to previous years).
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Add Contextual Information:** Consider including historical data or a brief analysis of market trends to provide context for the market size.
+- **Visual Enhancements:** Use graphical elements (like pie charts or bar graphs) to visually represent the share of market data, to enhance understanding at a glance.
+- **Clarification:** The term "Budget&Online" may be misinterpreted; clarify what is meant (e.g., online travel expenditures).
+- **Source Highlighting:** Clearly distinguish sources (using italics or a smaller font) to maintain focus on numerical data while still giving credit to the sources.
+
+### Visual Analyzer
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: **Market Size**
+- Statistics:
+  - **Total Available Market:** 2 Billion Trips Booked (Worldwide)
+    - Source: Travel Industry Assn. of America and World Tourism Organization.
+  - **Serviceable Available Market:** $560+ Million Budget & Online
+    - Source: comScore
+  - **Share of Market:** 84 Million Trips with AirBnB
+    - 15% of available market
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide uses a clear and simple layout with statistics prominently displayed.
+- **Color:** The use of red accents for important figures and headers contrasts well with the grey background, enhancing readability.
+- **Typography:** The title uses a large, bold font, while the key figures are highlighted, making it easy to scan the information quickly.
+- **Balance:** The three sections (Total Available Market, Serviceable Available Market, Share of Market) are evenly spaced, maintaining a balanced design.
+
+### 3. Data Interpreter
+**Numerical Data Interpretation:**
+- **Total Available Market:** Indicates a very large potential market with 2 billion trips, suggesting significant industry activity.
+- **Serviceable Available Market:** The $560 million represents a specific segment of the travel market that is budgeted for online bookings, hinting at a targeted opportunity.
+- **Share of Market:** The 84 million trips booked through AirBnB, representing 15% of the available market, indicates AirBnB’s substantial presence in the marketplace.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively communicates the potential size of the market and specific segments.
+- The inclusion of credible sources for each statistic helps establish trust and authority.
+- However, the message could be enhanced by providing context for the significance of these numbers (e.g., market growth trends or comparison to previous years).
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Add Contextual Information:** Consider including historical data or a brief analysis of market trends to provide context for the market size.
+- **Visual Enhancements:** Use graphical elements (like pie charts or bar graphs) to visually represent the share of market data, to enhance understanding at a glance.
+- **Clarification:** The term "Budget&Online" may be misinterpreted; clarify what is meant (e.g., online travel expenditures).
+- **Source Highlighting:** Clearly distinguish sources (using italics or a smaller font) to maintain focus on numerical data while still giving credit to the sources.
+
+### Data Interpreter
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: **Market Size**
+- Statistics:
+  - **Total Available Market:** 2 Billion Trips Booked (Worldwide)
+    - Source: Travel Industry Assn. of America and World Tourism Organization.
+  - **Serviceable Available Market:** $560+ Million Budget & Online
+    - Source: comScore
+  - **Share of Market:** 84 Million Trips with AirBnB
+    - 15% of available market
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide uses a clear and simple layout with statistics prominently displayed.
+- **Color:** The use of red accents for important figures and headers contrasts well with the grey background, enhancing readability.
+- **Typography:** The title uses a large, bold font, while the key figures are highlighted, making it easy to scan the information quickly.
+- **Balance:** The three sections (Total Available Market, Serviceable Available Market, Share of Market) are evenly spaced, maintaining a balanced design.
+
+### 3. Data Interpreter
+**Numerical Data Interpretation:**
+- **Total Available Market:** Indicates a very large potential market with 2 billion trips, suggesting significant industry activity.
+- **Serviceable Available Market:** The $560 million represents a specific segment of the travel market that is budgeted for online bookings, hinting at a targeted opportunity.
+- **Share of Market:** The 84 million trips booked through AirBnB, representing 15% of the available market, indicates AirBnB’s substantial presence in the marketplace.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively communicates the potential size of the market and specific segments.
+- The inclusion of credible sources for each statistic helps establish trust and authority.
+- However, the message could be enhanced by providing context for the significance of these numbers (e.g., market growth trends or comparison to previous years).
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Add Contextual Information:** Consider including historical data or a brief analysis of market trends to provide context for the market size.
+- **Visual Enhancements:** Use graphical elements (like pie charts or bar graphs) to visually represent the share of market data, to enhance understanding at a glance.
+- **Clarification:** The term "Budget&Online" may be misinterpreted; clarify what is meant (e.g., online travel expenditures).
+- **Source Highlighting:** Clearly distinguish sources (using italics or a smaller font) to maintain focus on numerical data while still giving credit to the sources.
+
+### Message Evaluator
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: **Market Size**
+- Statistics:
+  - **Total Available Market:** 2 Billion Trips Booked (Worldwide)
+    - Source: Travel Industry Assn. of America and World Tourism Organization.
+  - **Serviceable Available Market:** $560+ Million Budget & Online
+    - Source: comScore
+  - **Share of Market:** 84 Million Trips with AirBnB
+    - 15% of available market
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide uses a clear and simple layout with statistics prominently displayed.
+- **Color:** The use of red accents for important figures and headers contrasts well with the grey background, enhancing readability.
+- **Typography:** The title uses a large, bold font, while the key figures are highlighted, making it easy to scan the information quickly.
+- **Balance:** The three sections (Total Available Market, Serviceable Available Market, Share of Market) are evenly spaced, maintaining a balanced design.
+
+### 3. Data Interpreter
+**Numerical Data Interpretation:**
+- **Total Available Market:** Indicates a very large potential market with 2 billion trips, suggesting significant industry activity.
+- **Serviceable Available Market:** The $560 million represents a specific segment of the travel market that is budgeted for online bookings, hinting at a targeted opportunity.
+- **Share of Market:** The 84 million trips booked through AirBnB, representing 15% of the available market, indicates AirBnB’s substantial presence in the marketplace.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively communicates the potential size of the market and specific segments.
+- The inclusion of credible sources for each statistic helps establish trust and authority.
+- However, the message could be enhanced by providing context for the significance of these numbers (e.g., market growth trends or comparison to previous years).
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Add Contextual Information:** Consider including historical data or a brief analysis of market trends to provide context for the market size.
+- **Visual Enhancements:** Use graphical elements (like pie charts or bar graphs) to visually represent the share of market data, to enhance understanding at a glance.
+- **Clarification:** The term "Budget&Online" may be misinterpreted; clarify what is meant (e.g., online travel expenditures).
+- **Source Highlighting:** Clearly distinguish sources (using italics or a smaller font) to maintain focus on numerical data while still giving credit to the sources.
+
+### Improvement Suggestor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: **Market Size**
+- Statistics:
+  - **Total Available Market:** 2 Billion Trips Booked (Worldwide)
+    - Source: Travel Industry Assn. of America and World Tourism Organization.
+  - **Serviceable Available Market:** $560+ Million Budget & Online
+    - Source: comScore
+  - **Share of Market:** 84 Million Trips with AirBnB
+    - 15% of available market
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide uses a clear and simple layout with statistics prominently displayed.
+- **Color:** The use of red accents for important figures and headers contrasts well with the grey background, enhancing readability.
+- **Typography:** The title uses a large, bold font, while the key figures are highlighted, making it easy to scan the information quickly.
+- **Balance:** The three sections (Total Available Market, Serviceable Available Market, Share of Market) are evenly spaced, maintaining a balanced design.
+
+### 3. Data Interpreter
+**Numerical Data Interpretation:**
+- **Total Available Market:** Indicates a very large potential market with 2 billion trips, suggesting significant industry activity.
+- **Serviceable Available Market:** The $560 million represents a specific segment of the travel market that is budgeted for online bookings, hinting at a targeted opportunity.
+- **Share of Market:** The 84 million trips booked through AirBnB, representing 15% of the available market, indicates AirBnB’s substantial presence in the marketplace.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively communicates the potential size of the market and specific segments.
+- The inclusion of credible sources for each statistic helps establish trust and authority.
+- However, the message could be enhanced by providing context for the significance of these numbers (e.g., market growth trends or comparison to previous years).
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Add Contextual Information:** Consider including historical data or a brief analysis of market trends to provide context for the market size.
+- **Visual Enhancements:** Use graphical elements (like pie charts or bar graphs) to visually represent the share of market data, to enhance understanding at a glance.
+- **Clarification:** The term "Budget&Online" may be misinterpreted; clarify what is meant (e.g., online travel expenditures).
+- **Source Highlighting:** Clearly distinguish sources (using italics or a smaller font) to maintain focus on numerical data while still giving credit to the sources.
+
+---
+
+# Slide 6
+
+![Slide 6](slides/AirBnB_Pitch_Deck_slide_006.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Product"
+- Company Logo: Airbnb
+
+**Summary:**
+The slide contains minimal text, focused solely on the word "Product," accompanied by the Airbnb logo. This suggests a transition or focus on product-related topics within the presentation.
+
+---
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout:** Simple and clean, with a clear hierarchy.
+- **Colors:** A calming light grey background with a bold red box and black text. The red box may draw attention to the title or signify importance.
+- **Typography:** The word "Product" is in a clear sans-serif font, enhancing legibility and modernity.
+
+**Analysis:**
+The design choice promotes a minimalist aesthetic which is effective in making the slide easily digestible. The use of color and space effectively emphasizes the focal point on "Product."
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There is no numerical data, charts, or graphs present in this slide.
+
+**Interpretation:**
+This slide is conversational rather than analytical, focusing on setting up a discussion about the product rather than presenting data. 
+
+---
+
+### 4. Message Evaluator
+**Effectiveness:**
+- The message is direct but lacks detailed information. The focus on just the word "Product" is concise, which can be effective for emphasizing upcoming content.
+- The logo reinforces brand identity without distracting from the main text.
+
+**Evaluation:**
+While the clarity of focus is beneficial, the lack of additional context may leave the audience wanting more information. It effectively sets the stage but does not deliver substantive content.
+
+---
+
+### 5. Improvement Suggestor
+**Suggested Improvements:**
+1. **Add Contextual Information:** Incorporate a brief introduction or bullet points summarizing key product features or benefits below "Product" for better clarity.
+2. **Visual Additions:** Consider including an illustrative graphic or icon related to the product to create visual interest.
+3. **Improved Color Contrast:** If more content is added, ensure that sufficient contrast is maintained for legibility.
+4. **Consistent Branding:** While the logo is visually pleasing, including a color palette that matches the branding might increase visual cohesion across the presentation.
+5. **Engagement Element:** Consider prompting an engaging question or statement about the product to stimulate audience interest right from the start.
+
+Overall, this slide serves as a clear entry point, but additional context or visual elements could enhance its effectiveness.
+
+### Visual Analyzer
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Product"
+- Company Logo: Airbnb
+
+**Summary:**
+The slide contains minimal text, focused solely on the word "Product," accompanied by the Airbnb logo. This suggests a transition or focus on product-related topics within the presentation.
+
+---
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout:** Simple and clean, with a clear hierarchy.
+- **Colors:** A calming light grey background with a bold red box and black text. The red box may draw attention to the title or signify importance.
+- **Typography:** The word "Product" is in a clear sans-serif font, enhancing legibility and modernity.
+
+**Analysis:**
+The design choice promotes a minimalist aesthetic which is effective in making the slide easily digestible. The use of color and space effectively emphasizes the focal point on "Product."
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There is no numerical data, charts, or graphs present in this slide.
+
+**Interpretation:**
+This slide is conversational rather than analytical, focusing on setting up a discussion about the product rather than presenting data. 
+
+---
+
+### 4. Message Evaluator
+**Effectiveness:**
+- The message is direct but lacks detailed information. The focus on just the word "Product" is concise, which can be effective for emphasizing upcoming content.
+- The logo reinforces brand identity without distracting from the main text.
+
+**Evaluation:**
+While the clarity of focus is beneficial, the lack of additional context may leave the audience wanting more information. It effectively sets the stage but does not deliver substantive content.
+
+---
+
+### 5. Improvement Suggestor
+**Suggested Improvements:**
+1. **Add Contextual Information:** Incorporate a brief introduction or bullet points summarizing key product features or benefits below "Product" for better clarity.
+2. **Visual Additions:** Consider including an illustrative graphic or icon related to the product to create visual interest.
+3. **Improved Color Contrast:** If more content is added, ensure that sufficient contrast is maintained for legibility.
+4. **Consistent Branding:** While the logo is visually pleasing, including a color palette that matches the branding might increase visual cohesion across the presentation.
+5. **Engagement Element:** Consider prompting an engaging question or statement about the product to stimulate audience interest right from the start.
+
+Overall, this slide serves as a clear entry point, but additional context or visual elements could enhance its effectiveness.
+
+### Data Interpreter
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Product"
+- Company Logo: Airbnb
+
+**Summary:**
+The slide contains minimal text, focused solely on the word "Product," accompanied by the Airbnb logo. This suggests a transition or focus on product-related topics within the presentation.
+
+---
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout:** Simple and clean, with a clear hierarchy.
+- **Colors:** A calming light grey background with a bold red box and black text. The red box may draw attention to the title or signify importance.
+- **Typography:** The word "Product" is in a clear sans-serif font, enhancing legibility and modernity.
+
+**Analysis:**
+The design choice promotes a minimalist aesthetic which is effective in making the slide easily digestible. The use of color and space effectively emphasizes the focal point on "Product."
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There is no numerical data, charts, or graphs present in this slide.
+
+**Interpretation:**
+This slide is conversational rather than analytical, focusing on setting up a discussion about the product rather than presenting data. 
+
+---
+
+### 4. Message Evaluator
+**Effectiveness:**
+- The message is direct but lacks detailed information. The focus on just the word "Product" is concise, which can be effective for emphasizing upcoming content.
+- The logo reinforces brand identity without distracting from the main text.
+
+**Evaluation:**
+While the clarity of focus is beneficial, the lack of additional context may leave the audience wanting more information. It effectively sets the stage but does not deliver substantive content.
+
+---
+
+### 5. Improvement Suggestor
+**Suggested Improvements:**
+1. **Add Contextual Information:** Incorporate a brief introduction or bullet points summarizing key product features or benefits below "Product" for better clarity.
+2. **Visual Additions:** Consider including an illustrative graphic or icon related to the product to create visual interest.
+3. **Improved Color Contrast:** If more content is added, ensure that sufficient contrast is maintained for legibility.
+4. **Consistent Branding:** While the logo is visually pleasing, including a color palette that matches the branding might increase visual cohesion across the presentation.
+5. **Engagement Element:** Consider prompting an engaging question or statement about the product to stimulate audience interest right from the start.
+
+Overall, this slide serves as a clear entry point, but additional context or visual elements could enhance its effectiveness.
+
+### Message Evaluator
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Product"
+- Company Logo: Airbnb
+
+**Summary:**
+The slide contains minimal text, focused solely on the word "Product," accompanied by the Airbnb logo. This suggests a transition or focus on product-related topics within the presentation.
+
+---
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout:** Simple and clean, with a clear hierarchy.
+- **Colors:** A calming light grey background with a bold red box and black text. The red box may draw attention to the title or signify importance.
+- **Typography:** The word "Product" is in a clear sans-serif font, enhancing legibility and modernity.
+
+**Analysis:**
+The design choice promotes a minimalist aesthetic which is effective in making the slide easily digestible. The use of color and space effectively emphasizes the focal point on "Product."
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There is no numerical data, charts, or graphs present in this slide.
+
+**Interpretation:**
+This slide is conversational rather than analytical, focusing on setting up a discussion about the product rather than presenting data. 
+
+---
+
+### 4. Message Evaluator
+**Effectiveness:**
+- The message is direct but lacks detailed information. The focus on just the word "Product" is concise, which can be effective for emphasizing upcoming content.
+- The logo reinforces brand identity without distracting from the main text.
+
+**Evaluation:**
+While the clarity of focus is beneficial, the lack of additional context may leave the audience wanting more information. It effectively sets the stage but does not deliver substantive content.
+
+---
+
+### 5. Improvement Suggestor
+**Suggested Improvements:**
+1. **Add Contextual Information:** Incorporate a brief introduction or bullet points summarizing key product features or benefits below "Product" for better clarity.
+2. **Visual Additions:** Consider including an illustrative graphic or icon related to the product to create visual interest.
+3. **Improved Color Contrast:** If more content is added, ensure that sufficient contrast is maintained for legibility.
+4. **Consistent Branding:** While the logo is visually pleasing, including a color palette that matches the branding might increase visual cohesion across the presentation.
+5. **Engagement Element:** Consider prompting an engaging question or statement about the product to stimulate audience interest right from the start.
+
+Overall, this slide serves as a clear entry point, but additional context or visual elements could enhance its effectiveness.
+
+### Improvement Suggestor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "Product"
+- Company Logo: Airbnb
+
+**Summary:**
+The slide contains minimal text, focused solely on the word "Product," accompanied by the Airbnb logo. This suggests a transition or focus on product-related topics within the presentation.
+
+---
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout:** Simple and clean, with a clear hierarchy.
+- **Colors:** A calming light grey background with a bold red box and black text. The red box may draw attention to the title or signify importance.
+- **Typography:** The word "Product" is in a clear sans-serif font, enhancing legibility and modernity.
+
+**Analysis:**
+The design choice promotes a minimalist aesthetic which is effective in making the slide easily digestible. The use of color and space effectively emphasizes the focal point on "Product."
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There is no numerical data, charts, or graphs present in this slide.
+
+**Interpretation:**
+This slide is conversational rather than analytical, focusing on setting up a discussion about the product rather than presenting data. 
+
+---
+
+### 4. Message Evaluator
+**Effectiveness:**
+- The message is direct but lacks detailed information. The focus on just the word "Product" is concise, which can be effective for emphasizing upcoming content.
+- The logo reinforces brand identity without distracting from the main text.
+
+**Evaluation:**
+While the clarity of focus is beneficial, the lack of additional context may leave the audience wanting more information. It effectively sets the stage but does not deliver substantive content.
+
+---
+
+### 5. Improvement Suggestor
+**Suggested Improvements:**
+1. **Add Contextual Information:** Incorporate a brief introduction or bullet points summarizing key product features or benefits below "Product" for better clarity.
+2. **Visual Additions:** Consider including an illustrative graphic or icon related to the product to create visual interest.
+3. **Improved Color Contrast:** If more content is added, ensure that sufficient contrast is maintained for legibility.
+4. **Consistent Branding:** While the logo is visually pleasing, including a color palette that matches the branding might increase visual cohesion across the presentation.
+5. **Engagement Element:** Consider prompting an engaging question or statement about the product to stimulate audience interest right from the start.
+
+Overall, this slide serves as a clear entry point, but additional context or visual elements could enhance its effectiveness.
+
+---
+
+# Slide 7
+
+![Slide 7](slides/AirBnB_Pitch_Deck_slide_007.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### Slide 7 Analysis
+
+#### 1. Content Extractor
+- **Headline:** "Explore the world"
+- **Subheading:** "See where people are traveling, all around the world."
+- **Cities Featured:** 
+  - Prague
+  - Miami
+  - New York
+  - Paris ("Fall in love in Paris")
+- **Additional Details:**
+  - Host information: "Hosted by Mayan"
+  - Price: "$47"
+  - Call to action: "Search by city"
+
+#### 2. Visual Analyzer
+- **Layout:** The slide uses a grid layout, which organizes the images of various cities effectively. 
+- **Color Scheme:** The background is a muted gray, which allows the vibrant colors of the images to stand out. Each image and text combination is easily distinguishable.
+- **Typography:** The font appears modern and clean, making it readable against the images. The contrast between the text color and background helps maintain clarity.
+- **Imagery:** The images used are visually appealing and evoke a sense of travel, with lively scenes from different cities.
+
+#### 3. Data Interpreter
+- **Numerical Data:** The slide features a specific pricing point of "$47," indicating affordability, which could attract potential travelers.
+- **Host Information:** The detail "Hosted by Mayan" allows for personal connection and credibility, likely appealing to users looking for community-driven experiences.
+
+#### 4. Message Evaluator
+- **Effectiveness:** The main message effectively communicates the theme of travel and exploration, appealing to a broad audience interested in different destinations.
+- **Clarity:** The text aligns well with the visuals, creating a cohesive narrative that encourages exploration of the cities. The call to action is simple and directs user behavior.
+- **Tone:** The tone is inviting and friendly, aimed at engaging potential travelers.
+
+#### 5. Improvement Suggestor
+- **Text Contrast:** While the text is readable, increasing the contrast for the words "Search by city" could enhance visibility further, ensuring that it catches the viewer’s attention.
+- **Image Diversity:** Including a more diverse set of images or activities in each city could enhance appeal; tourism encompasses activities beyond just iconic images.
+- **Additional Features:** Consider adding interactive elements, such as filters for types of experiences or users' reviews, that could enhance user engagement. This would strengthen the search functionality and overall user experience.
+
+### Visual Analyzer
+
+### Slide 7 Analysis
+
+#### 1. Content Extractor
+- **Headline:** "Explore the world"
+- **Subheading:** "See where people are traveling, all around the world."
+- **Cities Featured:** 
+  - Prague
+  - Miami
+  - New York
+  - Paris ("Fall in love in Paris")
+- **Additional Details:**
+  - Host information: "Hosted by Mayan"
+  - Price: "$47"
+  - Call to action: "Search by city"
+
+#### 2. Visual Analyzer
+- **Layout:** The slide uses a grid layout, which organizes the images of various cities effectively. 
+- **Color Scheme:** The background is a muted gray, which allows the vibrant colors of the images to stand out. Each image and text combination is easily distinguishable.
+- **Typography:** The font appears modern and clean, making it readable against the images. The contrast between the text color and background helps maintain clarity.
+- **Imagery:** The images used are visually appealing and evoke a sense of travel, with lively scenes from different cities.
+
+#### 3. Data Interpreter
+- **Numerical Data:** The slide features a specific pricing point of "$47," indicating affordability, which could attract potential travelers.
+- **Host Information:** The detail "Hosted by Mayan" allows for personal connection and credibility, likely appealing to users looking for community-driven experiences.
+
+#### 4. Message Evaluator
+- **Effectiveness:** The main message effectively communicates the theme of travel and exploration, appealing to a broad audience interested in different destinations.
+- **Clarity:** The text aligns well with the visuals, creating a cohesive narrative that encourages exploration of the cities. The call to action is simple and directs user behavior.
+- **Tone:** The tone is inviting and friendly, aimed at engaging potential travelers.
+
+#### 5. Improvement Suggestor
+- **Text Contrast:** While the text is readable, increasing the contrast for the words "Search by city" could enhance visibility further, ensuring that it catches the viewer’s attention.
+- **Image Diversity:** Including a more diverse set of images or activities in each city could enhance appeal; tourism encompasses activities beyond just iconic images.
+- **Additional Features:** Consider adding interactive elements, such as filters for types of experiences or users' reviews, that could enhance user engagement. This would strengthen the search functionality and overall user experience.
+
+### Data Interpreter
+
+### Slide 7 Analysis
+
+#### 1. Content Extractor
+- **Headline:** "Explore the world"
+- **Subheading:** "See where people are traveling, all around the world."
+- **Cities Featured:** 
+  - Prague
+  - Miami
+  - New York
+  - Paris ("Fall in love in Paris")
+- **Additional Details:**
+  - Host information: "Hosted by Mayan"
+  - Price: "$47"
+  - Call to action: "Search by city"
+
+#### 2. Visual Analyzer
+- **Layout:** The slide uses a grid layout, which organizes the images of various cities effectively. 
+- **Color Scheme:** The background is a muted gray, which allows the vibrant colors of the images to stand out. Each image and text combination is easily distinguishable.
+- **Typography:** The font appears modern and clean, making it readable against the images. The contrast between the text color and background helps maintain clarity.
+- **Imagery:** The images used are visually appealing and evoke a sense of travel, with lively scenes from different cities.
+
+#### 3. Data Interpreter
+- **Numerical Data:** The slide features a specific pricing point of "$47," indicating affordability, which could attract potential travelers.
+- **Host Information:** The detail "Hosted by Mayan" allows for personal connection and credibility, likely appealing to users looking for community-driven experiences.
+
+#### 4. Message Evaluator
+- **Effectiveness:** The main message effectively communicates the theme of travel and exploration, appealing to a broad audience interested in different destinations.
+- **Clarity:** The text aligns well with the visuals, creating a cohesive narrative that encourages exploration of the cities. The call to action is simple and directs user behavior.
+- **Tone:** The tone is inviting and friendly, aimed at engaging potential travelers.
+
+#### 5. Improvement Suggestor
+- **Text Contrast:** While the text is readable, increasing the contrast for the words "Search by city" could enhance visibility further, ensuring that it catches the viewer’s attention.
+- **Image Diversity:** Including a more diverse set of images or activities in each city could enhance appeal; tourism encompasses activities beyond just iconic images.
+- **Additional Features:** Consider adding interactive elements, such as filters for types of experiences or users' reviews, that could enhance user engagement. This would strengthen the search functionality and overall user experience.
+
+### Message Evaluator
+
+### Slide 7 Analysis
+
+#### 1. Content Extractor
+- **Headline:** "Explore the world"
+- **Subheading:** "See where people are traveling, all around the world."
+- **Cities Featured:** 
+  - Prague
+  - Miami
+  - New York
+  - Paris ("Fall in love in Paris")
+- **Additional Details:**
+  - Host information: "Hosted by Mayan"
+  - Price: "$47"
+  - Call to action: "Search by city"
+
+#### 2. Visual Analyzer
+- **Layout:** The slide uses a grid layout, which organizes the images of various cities effectively. 
+- **Color Scheme:** The background is a muted gray, which allows the vibrant colors of the images to stand out. Each image and text combination is easily distinguishable.
+- **Typography:** The font appears modern and clean, making it readable against the images. The contrast between the text color and background helps maintain clarity.
+- **Imagery:** The images used are visually appealing and evoke a sense of travel, with lively scenes from different cities.
+
+#### 3. Data Interpreter
+- **Numerical Data:** The slide features a specific pricing point of "$47," indicating affordability, which could attract potential travelers.
+- **Host Information:** The detail "Hosted by Mayan" allows for personal connection and credibility, likely appealing to users looking for community-driven experiences.
+
+#### 4. Message Evaluator
+- **Effectiveness:** The main message effectively communicates the theme of travel and exploration, appealing to a broad audience interested in different destinations.
+- **Clarity:** The text aligns well with the visuals, creating a cohesive narrative that encourages exploration of the cities. The call to action is simple and directs user behavior.
+- **Tone:** The tone is inviting and friendly, aimed at engaging potential travelers.
+
+#### 5. Improvement Suggestor
+- **Text Contrast:** While the text is readable, increasing the contrast for the words "Search by city" could enhance visibility further, ensuring that it catches the viewer’s attention.
+- **Image Diversity:** Including a more diverse set of images or activities in each city could enhance appeal; tourism encompasses activities beyond just iconic images.
+- **Additional Features:** Consider adding interactive elements, such as filters for types of experiences or users' reviews, that could enhance user engagement. This would strengthen the search functionality and overall user experience.
+
+### Improvement Suggestor
+
+### Slide 7 Analysis
+
+#### 1. Content Extractor
+- **Headline:** "Explore the world"
+- **Subheading:** "See where people are traveling, all around the world."
+- **Cities Featured:** 
+  - Prague
+  - Miami
+  - New York
+  - Paris ("Fall in love in Paris")
+- **Additional Details:**
+  - Host information: "Hosted by Mayan"
+  - Price: "$47"
+  - Call to action: "Search by city"
+
+#### 2. Visual Analyzer
+- **Layout:** The slide uses a grid layout, which organizes the images of various cities effectively. 
+- **Color Scheme:** The background is a muted gray, which allows the vibrant colors of the images to stand out. Each image and text combination is easily distinguishable.
+- **Typography:** The font appears modern and clean, making it readable against the images. The contrast between the text color and background helps maintain clarity.
+- **Imagery:** The images used are visually appealing and evoke a sense of travel, with lively scenes from different cities.
+
+#### 3. Data Interpreter
+- **Numerical Data:** The slide features a specific pricing point of "$47," indicating affordability, which could attract potential travelers.
+- **Host Information:** The detail "Hosted by Mayan" allows for personal connection and credibility, likely appealing to users looking for community-driven experiences.
+
+#### 4. Message Evaluator
+- **Effectiveness:** The main message effectively communicates the theme of travel and exploration, appealing to a broad audience interested in different destinations.
+- **Clarity:** The text aligns well with the visuals, creating a cohesive narrative that encourages exploration of the cities. The call to action is simple and directs user behavior.
+- **Tone:** The tone is inviting and friendly, aimed at engaging potential travelers.
+
+#### 5. Improvement Suggestor
+- **Text Contrast:** While the text is readable, increasing the contrast for the words "Search by city" could enhance visibility further, ensuring that it catches the viewer’s attention.
+- **Image Diversity:** Including a more diverse set of images or activities in each city could enhance appeal; tourism encompasses activities beyond just iconic images.
+- **Additional Features:** Consider adding interactive elements, such as filters for types of experiences or users' reviews, that could enhance user engagement. This would strengthen the search functionality and overall user experience.
+
+---
+
+# Slide 8
+
+![Slide 8](slides/AirBnB_Pitch_Deck_slide_008.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+The slide features an Airbnb listing interface for New York City. Key textual content includes:
+- Location: New York, NY
+- Date selection fields (Check In, Check Out)
+- Guest count (1 Guest)
+- Room type options: Entire home/apartment, Private room, Shared room
+- Filters for "Neighborhoods"
+- A note regarding additional fees when entering dates
+- Thumbnails of various listings, including:
+  - **Central Park - Broadway**: Private room, accommodates 2 guests, rated 5 stars with 44 reviews.
+  - **Cool Beans, second room (private)**: Private room, accommodates 3 guests, rated 4 stars with 63 reviews.
+
+### Visual Analyzer
+
+1. **Layout**: The layout is well-structured with a clear separation of the search filters, listings, and map sections. The use of thumbnails alongside a map provides a comprehensive view of available options.
+2. **Colors**: The color scheme is consistent with Airbnb’s branding, utilizing whites, blues, and soft earthy tones. The thumbnails feature vibrant colors that highlight property features.
+3. **Typography**: The font is clean and legible, with varying sizes to distinguish between titles, reviews, and prices effectively.
+4. **Images**: The property images are visually appealing and diverse, showcasing different spaces and designs, which can attract potential guests.
+
+### Data Interpreter
+
+- **Ratings**: The listings feature star ratings (4-5 stars) and reviews count (44 and 63). This gives users a sense of reliability and quality.
+- **Room Types**: The primary options displayed are private rooms, indicating a focus on individualized accommodations.
+- **Geographic Data**: The map displays multiple rental markers, indicating numerous options available in Manhattan, reflecting a densely populated rental market.
+
+### Message Evaluator
+
+The slide effectively communicates essential information for prospective Airbnb users. The search functionality is user-friendly, and the clear presentation of ratings and details enhances decision-making. However, it could benefit from stronger calls to action, such as "Book Now" or "Check Availability," to motivate user engagement.
+
+### Improvement Suggestor
+
+1. **Call-to-Action**: Include clear, visually distinct buttons for actions (e.g., "Book Now," "View More Listings") to enhance user prompts.
+2. **Filter Options**: Provide more intuitive filtering options beyond "Neighborhoods," such as price range, amenities, or more specific property types.
+3. **Map Interaction**: Enhance interactivity with the map to allow users to click on markers for quick information previews (like price and availability).
+4. **Image Quality**: Consider using higher-resolution images or a carousel feature to showcase multiple views of a property.
+5. **User Testimonials**: Incorporate snippets of user testimonials or experiences to provide a more personal touch and encourage trust.
+
+By implementing these suggestions, the slide can improve the overall user experience and increase conversions.
+
+---
+
+# Slide 9
+
+![Slide 9](slides/AirBnB_Pitch_Deck_slide_009.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+Here’s an analysis of slide 9 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: Manhattan Spacious Sunny Room close to Subways
+- Location: New York, NY, United States
+- Host: Ke
+- Room Type: Private room
+- Capacity: 3 Guests
+- Bed: 1 Real Bed
+- Description: 
+  - Proximity to Subway Station "207 St" (13 min walk) and Express Line A (3 min walk).
+  - Nearby amenities: Laundry, Supermarkets, Gas Station, RITE AID, parking lots.
+  - Shared living room during the day, private full-size bed in the evening.
+  - Extra size air mattress available upon request.
+  - Mention of a lovely Persian cat.
+- Check-in/out times: In from 3PM - 12AM, Out by 11AM.
+- House Rules section present.
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout**: The layout is clear, with a prominent header and a structured format for the listing and amenities.
+- **Color Scheme**: The use of a clean white background allows the content to stand out; the soft colors of the room image create an inviting feel.
+- **Typography**: The font is easily readable, with an effective hierarchy (larger title, smaller subheadings).
+- **Imagery**: The photograph depicts a spacious and welcoming living area, effectively supporting the textual content.
+  
+### 3. Data Interpreter
+**Numerical Data:**
+- Capacity: Accommodates up to 3 guests.
+- Number of beds: 1 (Real Bed) plus an option for an additional air mattress.
+- Check-in time: 3 PM - 12 AM.
+- Check-out time: 11 AM.
+- A total of 221 travelers have saved the listing to their wish list.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The listing conveys necessary details succinctly, addressing potential guest inquiries about location, amenities, and rules.
+- Positive language and descriptions create an inviting atmosphere.
+- The mention of nearby subway access and amenities adds value and convenience for prospective renters.
+- Clear instructions for booking enhance usability, though the request button could be highlighted further for visibility.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Visual Enhancements**: Consider using bolder colors for the "Request to Book" button to make it stand out more against the white background.
+- **Content Clarity**: Add bullet points in the description for quick scanning, especially in the "About this listing" section.
+- **Highlight Unique Features**: Front-load attractive features like the proximity to subway lines and the Persian cat to capture attention immediately.
+- **House Rules Visibility**: Include a brief note summarizing important house rules to manage guest expectations without having they scroll down.
+- **Guest Reviews**: Consider integrating a section for guest reviews or experiences to build trust and highlight positive feedback. 
+
+This multifaceted analysis can help in refining the presentation and effectiveness of the slide in promoting the listing.
+
+### Visual Analyzer
+
+Here’s an analysis of slide 9 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: Manhattan Spacious Sunny Room close to Subways
+- Location: New York, NY, United States
+- Host: Ke
+- Room Type: Private room
+- Capacity: 3 Guests
+- Bed: 1 Real Bed
+- Description: 
+  - Proximity to Subway Station "207 St" (13 min walk) and Express Line A (3 min walk).
+  - Nearby amenities: Laundry, Supermarkets, Gas Station, RITE AID, parking lots.
+  - Shared living room during the day, private full-size bed in the evening.
+  - Extra size air mattress available upon request.
+  - Mention of a lovely Persian cat.
+- Check-in/out times: In from 3PM - 12AM, Out by 11AM.
+- House Rules section present.
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout**: The layout is clear, with a prominent header and a structured format for the listing and amenities.
+- **Color Scheme**: The use of a clean white background allows the content to stand out; the soft colors of the room image create an inviting feel.
+- **Typography**: The font is easily readable, with an effective hierarchy (larger title, smaller subheadings).
+- **Imagery**: The photograph depicts a spacious and welcoming living area, effectively supporting the textual content.
+  
+### 3. Data Interpreter
+**Numerical Data:**
+- Capacity: Accommodates up to 3 guests.
+- Number of beds: 1 (Real Bed) plus an option for an additional air mattress.
+- Check-in time: 3 PM - 12 AM.
+- Check-out time: 11 AM.
+- A total of 221 travelers have saved the listing to their wish list.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The listing conveys necessary details succinctly, addressing potential guest inquiries about location, amenities, and rules.
+- Positive language and descriptions create an inviting atmosphere.
+- The mention of nearby subway access and amenities adds value and convenience for prospective renters.
+- Clear instructions for booking enhance usability, though the request button could be highlighted further for visibility.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Visual Enhancements**: Consider using bolder colors for the "Request to Book" button to make it stand out more against the white background.
+- **Content Clarity**: Add bullet points in the description for quick scanning, especially in the "About this listing" section.
+- **Highlight Unique Features**: Front-load attractive features like the proximity to subway lines and the Persian cat to capture attention immediately.
+- **House Rules Visibility**: Include a brief note summarizing important house rules to manage guest expectations without having they scroll down.
+- **Guest Reviews**: Consider integrating a section for guest reviews or experiences to build trust and highlight positive feedback. 
+
+This multifaceted analysis can help in refining the presentation and effectiveness of the slide in promoting the listing.
+
+### Data Interpreter
+
+Here’s an analysis of slide 9 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: Manhattan Spacious Sunny Room close to Subways
+- Location: New York, NY, United States
+- Host: Ke
+- Room Type: Private room
+- Capacity: 3 Guests
+- Bed: 1 Real Bed
+- Description: 
+  - Proximity to Subway Station "207 St" (13 min walk) and Express Line A (3 min walk).
+  - Nearby amenities: Laundry, Supermarkets, Gas Station, RITE AID, parking lots.
+  - Shared living room during the day, private full-size bed in the evening.
+  - Extra size air mattress available upon request.
+  - Mention of a lovely Persian cat.
+- Check-in/out times: In from 3PM - 12AM, Out by 11AM.
+- House Rules section present.
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout**: The layout is clear, with a prominent header and a structured format for the listing and amenities.
+- **Color Scheme**: The use of a clean white background allows the content to stand out; the soft colors of the room image create an inviting feel.
+- **Typography**: The font is easily readable, with an effective hierarchy (larger title, smaller subheadings).
+- **Imagery**: The photograph depicts a spacious and welcoming living area, effectively supporting the textual content.
+  
+### 3. Data Interpreter
+**Numerical Data:**
+- Capacity: Accommodates up to 3 guests.
+- Number of beds: 1 (Real Bed) plus an option for an additional air mattress.
+- Check-in time: 3 PM - 12 AM.
+- Check-out time: 11 AM.
+- A total of 221 travelers have saved the listing to their wish list.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The listing conveys necessary details succinctly, addressing potential guest inquiries about location, amenities, and rules.
+- Positive language and descriptions create an inviting atmosphere.
+- The mention of nearby subway access and amenities adds value and convenience for prospective renters.
+- Clear instructions for booking enhance usability, though the request button could be highlighted further for visibility.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Visual Enhancements**: Consider using bolder colors for the "Request to Book" button to make it stand out more against the white background.
+- **Content Clarity**: Add bullet points in the description for quick scanning, especially in the "About this listing" section.
+- **Highlight Unique Features**: Front-load attractive features like the proximity to subway lines and the Persian cat to capture attention immediately.
+- **House Rules Visibility**: Include a brief note summarizing important house rules to manage guest expectations without having they scroll down.
+- **Guest Reviews**: Consider integrating a section for guest reviews or experiences to build trust and highlight positive feedback. 
+
+This multifaceted analysis can help in refining the presentation and effectiveness of the slide in promoting the listing.
+
+### Message Evaluator
+
+Here’s an analysis of slide 9 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: Manhattan Spacious Sunny Room close to Subways
+- Location: New York, NY, United States
+- Host: Ke
+- Room Type: Private room
+- Capacity: 3 Guests
+- Bed: 1 Real Bed
+- Description: 
+  - Proximity to Subway Station "207 St" (13 min walk) and Express Line A (3 min walk).
+  - Nearby amenities: Laundry, Supermarkets, Gas Station, RITE AID, parking lots.
+  - Shared living room during the day, private full-size bed in the evening.
+  - Extra size air mattress available upon request.
+  - Mention of a lovely Persian cat.
+- Check-in/out times: In from 3PM - 12AM, Out by 11AM.
+- House Rules section present.
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout**: The layout is clear, with a prominent header and a structured format for the listing and amenities.
+- **Color Scheme**: The use of a clean white background allows the content to stand out; the soft colors of the room image create an inviting feel.
+- **Typography**: The font is easily readable, with an effective hierarchy (larger title, smaller subheadings).
+- **Imagery**: The photograph depicts a spacious and welcoming living area, effectively supporting the textual content.
+  
+### 3. Data Interpreter
+**Numerical Data:**
+- Capacity: Accommodates up to 3 guests.
+- Number of beds: 1 (Real Bed) plus an option for an additional air mattress.
+- Check-in time: 3 PM - 12 AM.
+- Check-out time: 11 AM.
+- A total of 221 travelers have saved the listing to their wish list.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The listing conveys necessary details succinctly, addressing potential guest inquiries about location, amenities, and rules.
+- Positive language and descriptions create an inviting atmosphere.
+- The mention of nearby subway access and amenities adds value and convenience for prospective renters.
+- Clear instructions for booking enhance usability, though the request button could be highlighted further for visibility.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Visual Enhancements**: Consider using bolder colors for the "Request to Book" button to make it stand out more against the white background.
+- **Content Clarity**: Add bullet points in the description for quick scanning, especially in the "About this listing" section.
+- **Highlight Unique Features**: Front-load attractive features like the proximity to subway lines and the Persian cat to capture attention immediately.
+- **House Rules Visibility**: Include a brief note summarizing important house rules to manage guest expectations without having they scroll down.
+- **Guest Reviews**: Consider integrating a section for guest reviews or experiences to build trust and highlight positive feedback. 
+
+This multifaceted analysis can help in refining the presentation and effectiveness of the slide in promoting the listing.
+
+### Improvement Suggestor
+
+Here’s an analysis of slide 9 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: Manhattan Spacious Sunny Room close to Subways
+- Location: New York, NY, United States
+- Host: Ke
+- Room Type: Private room
+- Capacity: 3 Guests
+- Bed: 1 Real Bed
+- Description: 
+  - Proximity to Subway Station "207 St" (13 min walk) and Express Line A (3 min walk).
+  - Nearby amenities: Laundry, Supermarkets, Gas Station, RITE AID, parking lots.
+  - Shared living room during the day, private full-size bed in the evening.
+  - Extra size air mattress available upon request.
+  - Mention of a lovely Persian cat.
+- Check-in/out times: In from 3PM - 12AM, Out by 11AM.
+- House Rules section present.
+
+### 2. Visual Analyzer
+**Design Elements:**
+- **Layout**: The layout is clear, with a prominent header and a structured format for the listing and amenities.
+- **Color Scheme**: The use of a clean white background allows the content to stand out; the soft colors of the room image create an inviting feel.
+- **Typography**: The font is easily readable, with an effective hierarchy (larger title, smaller subheadings).
+- **Imagery**: The photograph depicts a spacious and welcoming living area, effectively supporting the textual content.
+  
+### 3. Data Interpreter
+**Numerical Data:**
+- Capacity: Accommodates up to 3 guests.
+- Number of beds: 1 (Real Bed) plus an option for an additional air mattress.
+- Check-in time: 3 PM - 12 AM.
+- Check-out time: 11 AM.
+- A total of 221 travelers have saved the listing to their wish list.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The listing conveys necessary details succinctly, addressing potential guest inquiries about location, amenities, and rules.
+- Positive language and descriptions create an inviting atmosphere.
+- The mention of nearby subway access and amenities adds value and convenience for prospective renters.
+- Clear instructions for booking enhance usability, though the request button could be highlighted further for visibility.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Visual Enhancements**: Consider using bolder colors for the "Request to Book" button to make it stand out more against the white background.
+- **Content Clarity**: Add bullet points in the description for quick scanning, especially in the "About this listing" section.
+- **Highlight Unique Features**: Front-load attractive features like the proximity to subway lines and the Persian cat to capture attention immediately.
+- **House Rules Visibility**: Include a brief note summarizing important house rules to manage guest expectations without having they scroll down.
+- **Guest Reviews**: Consider integrating a section for guest reviews or experiences to build trust and highlight positive feedback. 
+
+This multifaceted analysis can help in refining the presentation and effectiveness of the slide in promoting the listing.
+
+---
+
+# Slide 10
+
+![Slide 10](slides/AirBnB_Pitch_Deck_slide_010.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Business Model:** The slide outlines that Airbnb takes a 10% commission on each transaction.
+- **Key Figures:**
+  - **$84M** - Trips with AirBnB; noted as 15% of the available market.
+  - **$25** - Average fee ($80/night for a stay of 3 nights).
+  - **$200M** - Projected revenue by 2011.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide presents a clean and straightforward layout, with clear segmentation between the title and key figures.
+- **Colors:** The predominant use of a muted background with a bold red block enhances visibility and focus on the "Business Model" title.
+- **Typography:** A combination of bold and regular font weights provides contrast. The title is prominent, while figures are easy to read, reflecting a professional aesthetic.
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Metrics:**
+- **Total Trips:** $84M indicates the scale of Airbnb's current reach (only capturing 15% of the market).
+- **Revenue Model Analysis:** The average fee of $25 reflects Airbnb’s pricing strategy, implying a likely average customer transactional value.
+- **Projected Revenue:** $200M is an ambitious target, suggesting significant growth potential within the market context, based on current figures.
+
+### 4. Message Evaluator
+**Effectiveness of Message Delivery:**
+- The message about the business model is succinct, capturing the essence of Airbnb’s commission structure.
+- The use of relevant statistics bolsters credibility and effectively communicates the financial scenario.
+- However, the slide could further benefit from contextualizing how the figures translate into growth or market dominance.
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Contextual Information:** Add a brief explanation or comparison point to illustrate how the projected revenue aligns with industry standards or past growth.
+- **Visual Enhancements:** Incorporate simple graphics or icons next to key figures to visually reinforce the data (e.g., a graph showing growth trajectory).
+- **Clarification on Terminology:** Instead of stating "15% of Available Market," briefly define what size the “available market” represents to provide a clearer perspective on market share.
+
+Implementing these suggestions could enhance both clarity and visual engagement, making the slide more impactful for the audience.
+
+### Visual Analyzer
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Business Model:** The slide outlines that Airbnb takes a 10% commission on each transaction.
+- **Key Figures:**
+  - **$84M** - Trips with AirBnB; noted as 15% of the available market.
+  - **$25** - Average fee ($80/night for a stay of 3 nights).
+  - **$200M** - Projected revenue by 2011.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide presents a clean and straightforward layout, with clear segmentation between the title and key figures.
+- **Colors:** The predominant use of a muted background with a bold red block enhances visibility and focus on the "Business Model" title.
+- **Typography:** A combination of bold and regular font weights provides contrast. The title is prominent, while figures are easy to read, reflecting a professional aesthetic.
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Metrics:**
+- **Total Trips:** $84M indicates the scale of Airbnb's current reach (only capturing 15% of the market).
+- **Revenue Model Analysis:** The average fee of $25 reflects Airbnb’s pricing strategy, implying a likely average customer transactional value.
+- **Projected Revenue:** $200M is an ambitious target, suggesting significant growth potential within the market context, based on current figures.
+
+### 4. Message Evaluator
+**Effectiveness of Message Delivery:**
+- The message about the business model is succinct, capturing the essence of Airbnb’s commission structure.
+- The use of relevant statistics bolsters credibility and effectively communicates the financial scenario.
+- However, the slide could further benefit from contextualizing how the figures translate into growth or market dominance.
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Contextual Information:** Add a brief explanation or comparison point to illustrate how the projected revenue aligns with industry standards or past growth.
+- **Visual Enhancements:** Incorporate simple graphics or icons next to key figures to visually reinforce the data (e.g., a graph showing growth trajectory).
+- **Clarification on Terminology:** Instead of stating "15% of Available Market," briefly define what size the “available market” represents to provide a clearer perspective on market share.
+
+Implementing these suggestions could enhance both clarity and visual engagement, making the slide more impactful for the audience.
+
+### Data Interpreter
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Business Model:** The slide outlines that Airbnb takes a 10% commission on each transaction.
+- **Key Figures:**
+  - **$84M** - Trips with AirBnB; noted as 15% of the available market.
+  - **$25** - Average fee ($80/night for a stay of 3 nights).
+  - **$200M** - Projected revenue by 2011.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide presents a clean and straightforward layout, with clear segmentation between the title and key figures.
+- **Colors:** The predominant use of a muted background with a bold red block enhances visibility and focus on the "Business Model" title.
+- **Typography:** A combination of bold and regular font weights provides contrast. The title is prominent, while figures are easy to read, reflecting a professional aesthetic.
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Metrics:**
+- **Total Trips:** $84M indicates the scale of Airbnb's current reach (only capturing 15% of the market).
+- **Revenue Model Analysis:** The average fee of $25 reflects Airbnb’s pricing strategy, implying a likely average customer transactional value.
+- **Projected Revenue:** $200M is an ambitious target, suggesting significant growth potential within the market context, based on current figures.
+
+### 4. Message Evaluator
+**Effectiveness of Message Delivery:**
+- The message about the business model is succinct, capturing the essence of Airbnb’s commission structure.
+- The use of relevant statistics bolsters credibility and effectively communicates the financial scenario.
+- However, the slide could further benefit from contextualizing how the figures translate into growth or market dominance.
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Contextual Information:** Add a brief explanation or comparison point to illustrate how the projected revenue aligns with industry standards or past growth.
+- **Visual Enhancements:** Incorporate simple graphics or icons next to key figures to visually reinforce the data (e.g., a graph showing growth trajectory).
+- **Clarification on Terminology:** Instead of stating "15% of Available Market," briefly define what size the “available market” represents to provide a clearer perspective on market share.
+
+Implementing these suggestions could enhance both clarity and visual engagement, making the slide more impactful for the audience.
+
+### Message Evaluator
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Business Model:** The slide outlines that Airbnb takes a 10% commission on each transaction.
+- **Key Figures:**
+  - **$84M** - Trips with AirBnB; noted as 15% of the available market.
+  - **$25** - Average fee ($80/night for a stay of 3 nights).
+  - **$200M** - Projected revenue by 2011.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide presents a clean and straightforward layout, with clear segmentation between the title and key figures.
+- **Colors:** The predominant use of a muted background with a bold red block enhances visibility and focus on the "Business Model" title.
+- **Typography:** A combination of bold and regular font weights provides contrast. The title is prominent, while figures are easy to read, reflecting a professional aesthetic.
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Metrics:**
+- **Total Trips:** $84M indicates the scale of Airbnb's current reach (only capturing 15% of the market).
+- **Revenue Model Analysis:** The average fee of $25 reflects Airbnb’s pricing strategy, implying a likely average customer transactional value.
+- **Projected Revenue:** $200M is an ambitious target, suggesting significant growth potential within the market context, based on current figures.
+
+### 4. Message Evaluator
+**Effectiveness of Message Delivery:**
+- The message about the business model is succinct, capturing the essence of Airbnb’s commission structure.
+- The use of relevant statistics bolsters credibility and effectively communicates the financial scenario.
+- However, the slide could further benefit from contextualizing how the figures translate into growth or market dominance.
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Contextual Information:** Add a brief explanation or comparison point to illustrate how the projected revenue aligns with industry standards or past growth.
+- **Visual Enhancements:** Incorporate simple graphics or icons next to key figures to visually reinforce the data (e.g., a graph showing growth trajectory).
+- **Clarification on Terminology:** Instead of stating "15% of Available Market," briefly define what size the “available market” represents to provide a clearer perspective on market share.
+
+Implementing these suggestions could enhance both clarity and visual engagement, making the slide more impactful for the audience.
+
+### Improvement Suggestor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Business Model:** The slide outlines that Airbnb takes a 10% commission on each transaction.
+- **Key Figures:**
+  - **$84M** - Trips with AirBnB; noted as 15% of the available market.
+  - **$25** - Average fee ($80/night for a stay of 3 nights).
+  - **$200M** - Projected revenue by 2011.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide presents a clean and straightforward layout, with clear segmentation between the title and key figures.
+- **Colors:** The predominant use of a muted background with a bold red block enhances visibility and focus on the "Business Model" title.
+- **Typography:** A combination of bold and regular font weights provides contrast. The title is prominent, while figures are easy to read, reflecting a professional aesthetic.
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Metrics:**
+- **Total Trips:** $84M indicates the scale of Airbnb's current reach (only capturing 15% of the market).
+- **Revenue Model Analysis:** The average fee of $25 reflects Airbnb’s pricing strategy, implying a likely average customer transactional value.
+- **Projected Revenue:** $200M is an ambitious target, suggesting significant growth potential within the market context, based on current figures.
+
+### 4. Message Evaluator
+**Effectiveness of Message Delivery:**
+- The message about the business model is succinct, capturing the essence of Airbnb’s commission structure.
+- The use of relevant statistics bolsters credibility and effectively communicates the financial scenario.
+- However, the slide could further benefit from contextualizing how the figures translate into growth or market dominance.
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Contextual Information:** Add a brief explanation or comparison point to illustrate how the projected revenue aligns with industry standards or past growth.
+- **Visual Enhancements:** Incorporate simple graphics or icons next to key figures to visually reinforce the data (e.g., a graph showing growth trajectory).
+- **Clarification on Terminology:** Instead of stating "15% of Available Market," briefly define what size the “available market” represents to provide a clearer perspective on market share.
+
+Implementing these suggestions could enhance both clarity and visual engagement, making the slide more impactful for the audience.
+
+---
+
+# Slide 11
+
+![Slide 11](slides/AirBnB_Pitch_Deck_slide_011.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### 1. Content Extractor
+The slide focuses on the topic of "Market Adoption" and outlines three core areas:
+
+- **Events**: Lists targeted events with estimated attendance figures:
+  - Octoberfest (6M)
+  - CeBIT (700,000)
+  - Summerfest (1M)
+  - Eurocup (3M+)
+  - Mardi Gras (800,000)
+
+- **Partnerships**: Highlights strategic partnerships aimed at achieving affordability in travel:
+  - GoLoco
+  - Kayak
+  - Orbitz
+
+- **Craigslist**: Mentions a feature for dual posting to enhance visibility and reach.
+
+### 2. Visual Analyzer
+The visual elements of the slide include:
+- **Color Scheme**: The slide utilizes a light background with a bold red block for the section title "Market Adoption," creating a clear visual hierarchy and drawing attention.
+- **Typography**: The font is modern and clean, with a distinct differentiation between headings and sub-points, contributing to readability.
+- **Layout**: The three sections are neatly organized in a column format, which enhances clarity and allows for easy scanning.
+- **Logo Placement**: The Airbnb logo is positioned at the top right, maintaining brand visibility without overpowering the main content.
+
+### 3. Data Interpreter
+The numerical data suggests that the targeted events attract significant crowds, which indicates potential market engagement opportunities for Airbnb:
+- A total of around 11 million potential attendees across the listed events.
+- Partnerships with travel-oriented companies imply a focus on budget-conscious consumers.
+- The mention of a Craigslist feature suggests a strategic move to tap into existing user bases looking for alternative lodging options.
+
+### 4. Message Evaluator
+The communication of market adoption strategies is clear and direct. The slide effectively conveys:
+- The alignment of Airbnb's offerings with large-scale events, targeting high traffic for potential users.
+- Emphasis on partnerships implies a strategy to position Airbnb in competitive travel markets, enhancing its recognition and credibility.
+- The mention of Craigslist suggests a creative approach to increase listings and market presence, which could resonate well with users familiar with both platforms.
+
+### 5. Improvement Suggestor
+To enhance clarity and impact, consider the following improvements:
+- **Add visuals or icons**: Incorporating relevant icons or images next to each section (e.g., event icons, partnership logos) could create more immediate visual associations and engagement.
+- **Include metrics or goals**: Presenting projected outcomes or goals from these partnerships or events could provide context around how Airbnb intends to leverage these opportunities.
+- **Bullet points or subheadings**: Breaking down the partnerships into sub-bullets could clarify the specific roles they play in affordable travel.
+- **Highlight call to action**: Adding a clear call-to-action or next steps could guide the audience on what to expect moving forward or encourage further engagement.
+
+### Visual Analyzer
+
+### 1. Content Extractor
+The slide focuses on the topic of "Market Adoption" and outlines three core areas:
+
+- **Events**: Lists targeted events with estimated attendance figures:
+  - Octoberfest (6M)
+  - CeBIT (700,000)
+  - Summerfest (1M)
+  - Eurocup (3M+)
+  - Mardi Gras (800,000)
+
+- **Partnerships**: Highlights strategic partnerships aimed at achieving affordability in travel:
+  - GoLoco
+  - Kayak
+  - Orbitz
+
+- **Craigslist**: Mentions a feature for dual posting to enhance visibility and reach.
+
+### 2. Visual Analyzer
+The visual elements of the slide include:
+- **Color Scheme**: The slide utilizes a light background with a bold red block for the section title "Market Adoption," creating a clear visual hierarchy and drawing attention.
+- **Typography**: The font is modern and clean, with a distinct differentiation between headings and sub-points, contributing to readability.
+- **Layout**: The three sections are neatly organized in a column format, which enhances clarity and allows for easy scanning.
+- **Logo Placement**: The Airbnb logo is positioned at the top right, maintaining brand visibility without overpowering the main content.
+
+### 3. Data Interpreter
+The numerical data suggests that the targeted events attract significant crowds, which indicates potential market engagement opportunities for Airbnb:
+- A total of around 11 million potential attendees across the listed events.
+- Partnerships with travel-oriented companies imply a focus on budget-conscious consumers.
+- The mention of a Craigslist feature suggests a strategic move to tap into existing user bases looking for alternative lodging options.
+
+### 4. Message Evaluator
+The communication of market adoption strategies is clear and direct. The slide effectively conveys:
+- The alignment of Airbnb's offerings with large-scale events, targeting high traffic for potential users.
+- Emphasis on partnerships implies a strategy to position Airbnb in competitive travel markets, enhancing its recognition and credibility.
+- The mention of Craigslist suggests a creative approach to increase listings and market presence, which could resonate well with users familiar with both platforms.
+
+### 5. Improvement Suggestor
+To enhance clarity and impact, consider the following improvements:
+- **Add visuals or icons**: Incorporating relevant icons or images next to each section (e.g., event icons, partnership logos) could create more immediate visual associations and engagement.
+- **Include metrics or goals**: Presenting projected outcomes or goals from these partnerships or events could provide context around how Airbnb intends to leverage these opportunities.
+- **Bullet points or subheadings**: Breaking down the partnerships into sub-bullets could clarify the specific roles they play in affordable travel.
+- **Highlight call to action**: Adding a clear call-to-action or next steps could guide the audience on what to expect moving forward or encourage further engagement.
+
+### Data Interpreter
+
+### 1. Content Extractor
+The slide focuses on the topic of "Market Adoption" and outlines three core areas:
+
+- **Events**: Lists targeted events with estimated attendance figures:
+  - Octoberfest (6M)
+  - CeBIT (700,000)
+  - Summerfest (1M)
+  - Eurocup (3M+)
+  - Mardi Gras (800,000)
+
+- **Partnerships**: Highlights strategic partnerships aimed at achieving affordability in travel:
+  - GoLoco
+  - Kayak
+  - Orbitz
+
+- **Craigslist**: Mentions a feature for dual posting to enhance visibility and reach.
+
+### 2. Visual Analyzer
+The visual elements of the slide include:
+- **Color Scheme**: The slide utilizes a light background with a bold red block for the section title "Market Adoption," creating a clear visual hierarchy and drawing attention.
+- **Typography**: The font is modern and clean, with a distinct differentiation between headings and sub-points, contributing to readability.
+- **Layout**: The three sections are neatly organized in a column format, which enhances clarity and allows for easy scanning.
+- **Logo Placement**: The Airbnb logo is positioned at the top right, maintaining brand visibility without overpowering the main content.
+
+### 3. Data Interpreter
+The numerical data suggests that the targeted events attract significant crowds, which indicates potential market engagement opportunities for Airbnb:
+- A total of around 11 million potential attendees across the listed events.
+- Partnerships with travel-oriented companies imply a focus on budget-conscious consumers.
+- The mention of a Craigslist feature suggests a strategic move to tap into existing user bases looking for alternative lodging options.
+
+### 4. Message Evaluator
+The communication of market adoption strategies is clear and direct. The slide effectively conveys:
+- The alignment of Airbnb's offerings with large-scale events, targeting high traffic for potential users.
+- Emphasis on partnerships implies a strategy to position Airbnb in competitive travel markets, enhancing its recognition and credibility.
+- The mention of Craigslist suggests a creative approach to increase listings and market presence, which could resonate well with users familiar with both platforms.
+
+### 5. Improvement Suggestor
+To enhance clarity and impact, consider the following improvements:
+- **Add visuals or icons**: Incorporating relevant icons or images next to each section (e.g., event icons, partnership logos) could create more immediate visual associations and engagement.
+- **Include metrics or goals**: Presenting projected outcomes or goals from these partnerships or events could provide context around how Airbnb intends to leverage these opportunities.
+- **Bullet points or subheadings**: Breaking down the partnerships into sub-bullets could clarify the specific roles they play in affordable travel.
+- **Highlight call to action**: Adding a clear call-to-action or next steps could guide the audience on what to expect moving forward or encourage further engagement.
+
+### Message Evaluator
+
+### 1. Content Extractor
+The slide focuses on the topic of "Market Adoption" and outlines three core areas:
+
+- **Events**: Lists targeted events with estimated attendance figures:
+  - Octoberfest (6M)
+  - CeBIT (700,000)
+  - Summerfest (1M)
+  - Eurocup (3M+)
+  - Mardi Gras (800,000)
+
+- **Partnerships**: Highlights strategic partnerships aimed at achieving affordability in travel:
+  - GoLoco
+  - Kayak
+  - Orbitz
+
+- **Craigslist**: Mentions a feature for dual posting to enhance visibility and reach.
+
+### 2. Visual Analyzer
+The visual elements of the slide include:
+- **Color Scheme**: The slide utilizes a light background with a bold red block for the section title "Market Adoption," creating a clear visual hierarchy and drawing attention.
+- **Typography**: The font is modern and clean, with a distinct differentiation between headings and sub-points, contributing to readability.
+- **Layout**: The three sections are neatly organized in a column format, which enhances clarity and allows for easy scanning.
+- **Logo Placement**: The Airbnb logo is positioned at the top right, maintaining brand visibility without overpowering the main content.
+
+### 3. Data Interpreter
+The numerical data suggests that the targeted events attract significant crowds, which indicates potential market engagement opportunities for Airbnb:
+- A total of around 11 million potential attendees across the listed events.
+- Partnerships with travel-oriented companies imply a focus on budget-conscious consumers.
+- The mention of a Craigslist feature suggests a strategic move to tap into existing user bases looking for alternative lodging options.
+
+### 4. Message Evaluator
+The communication of market adoption strategies is clear and direct. The slide effectively conveys:
+- The alignment of Airbnb's offerings with large-scale events, targeting high traffic for potential users.
+- Emphasis on partnerships implies a strategy to position Airbnb in competitive travel markets, enhancing its recognition and credibility.
+- The mention of Craigslist suggests a creative approach to increase listings and market presence, which could resonate well with users familiar with both platforms.
+
+### 5. Improvement Suggestor
+To enhance clarity and impact, consider the following improvements:
+- **Add visuals or icons**: Incorporating relevant icons or images next to each section (e.g., event icons, partnership logos) could create more immediate visual associations and engagement.
+- **Include metrics or goals**: Presenting projected outcomes or goals from these partnerships or events could provide context around how Airbnb intends to leverage these opportunities.
+- **Bullet points or subheadings**: Breaking down the partnerships into sub-bullets could clarify the specific roles they play in affordable travel.
+- **Highlight call to action**: Adding a clear call-to-action or next steps could guide the audience on what to expect moving forward or encourage further engagement.
+
+### Improvement Suggestor
+
+### 1. Content Extractor
+The slide focuses on the topic of "Market Adoption" and outlines three core areas:
+
+- **Events**: Lists targeted events with estimated attendance figures:
+  - Octoberfest (6M)
+  - CeBIT (700,000)
+  - Summerfest (1M)
+  - Eurocup (3M+)
+  - Mardi Gras (800,000)
+
+- **Partnerships**: Highlights strategic partnerships aimed at achieving affordability in travel:
+  - GoLoco
+  - Kayak
+  - Orbitz
+
+- **Craigslist**: Mentions a feature for dual posting to enhance visibility and reach.
+
+### 2. Visual Analyzer
+The visual elements of the slide include:
+- **Color Scheme**: The slide utilizes a light background with a bold red block for the section title "Market Adoption," creating a clear visual hierarchy and drawing attention.
+- **Typography**: The font is modern and clean, with a distinct differentiation between headings and sub-points, contributing to readability.
+- **Layout**: The three sections are neatly organized in a column format, which enhances clarity and allows for easy scanning.
+- **Logo Placement**: The Airbnb logo is positioned at the top right, maintaining brand visibility without overpowering the main content.
+
+### 3. Data Interpreter
+The numerical data suggests that the targeted events attract significant crowds, which indicates potential market engagement opportunities for Airbnb:
+- A total of around 11 million potential attendees across the listed events.
+- Partnerships with travel-oriented companies imply a focus on budget-conscious consumers.
+- The mention of a Craigslist feature suggests a strategic move to tap into existing user bases looking for alternative lodging options.
+
+### 4. Message Evaluator
+The communication of market adoption strategies is clear and direct. The slide effectively conveys:
+- The alignment of Airbnb's offerings with large-scale events, targeting high traffic for potential users.
+- Emphasis on partnerships implies a strategy to position Airbnb in competitive travel markets, enhancing its recognition and credibility.
+- The mention of Craigslist suggests a creative approach to increase listings and market presence, which could resonate well with users familiar with both platforms.
+
+### 5. Improvement Suggestor
+To enhance clarity and impact, consider the following improvements:
+- **Add visuals or icons**: Incorporating relevant icons or images next to each section (e.g., event icons, partnership logos) could create more immediate visual associations and engagement.
+- **Include metrics or goals**: Presenting projected outcomes or goals from these partnerships or events could provide context around how Airbnb intends to leverage these opportunities.
+- **Bullet points or subheadings**: Breaking down the partnerships into sub-bullets could clarify the specific roles they play in affordable travel.
+- **Highlight call to action**: Adding a clear call-to-action or next steps could guide the audience on what to expect moving forward or encourage further engagement.
+
+---
+
+# Slide 12
+
+![Slide 12](slides/AirBnB_Pitch_Deck_slide_012.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The title of the slide is "Competition."
+- There is a prominent use of a red rectangular box above the title, but no additional text or context is provided.
+
+---
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Color Scheme:** The slide has a minimal color palette, featuring a light gray background with a red accent shape to highlight the topic.
+- **Typography:** The font appears modern and clean. The title "Competition" is displayed prominently.
+- **Layout:** The slide is sparse, focusing attention on the title. The placement of the title may suggest a focus on discussing competitors next.
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There are no numerical data, charts, or graphs present on the slide. The slide lacks specific quantitative or qualitative metrics relevant to competition analysis.
+
+---
+
+### 4. Message Evaluator
+**Message Delivery and Communication Effectiveness:**
+- The message of "Competition" is appropriately conveyed through the title; however, there’s a lack of additional context that explains which competitors are being discussed or how Airbnb differentiates itself.
+- The slide may leave the audience wanting more detailed information that typically would accompany a discussion of competition.
+
+---
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Add Content:** Include bullet points or a brief summary of key competitors and differentiation factors. This will add value by informing the audience.
+- **Visual Elements:** Consider integrating relevant icons or images that represent competitors or the competitive landscape to make the slide more engaging.
+- **Chart Inclusion:** If applicable, add a comparison chart to visualize Airbnb against its competition, making it easier for the audience to grasp competitive positioning.
+- **Contextual Information:** Provide a short introduction or explanation to set the context for why competition is relevant to Airbnb's strategy.
+
+### Visual Analyzer
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The title of the slide is "Competition."
+- There is a prominent use of a red rectangular box above the title, but no additional text or context is provided.
+
+---
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Color Scheme:** The slide has a minimal color palette, featuring a light gray background with a red accent shape to highlight the topic.
+- **Typography:** The font appears modern and clean. The title "Competition" is displayed prominently.
+- **Layout:** The slide is sparse, focusing attention on the title. The placement of the title may suggest a focus on discussing competitors next.
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There are no numerical data, charts, or graphs present on the slide. The slide lacks specific quantitative or qualitative metrics relevant to competition analysis.
+
+---
+
+### 4. Message Evaluator
+**Message Delivery and Communication Effectiveness:**
+- The message of "Competition" is appropriately conveyed through the title; however, there’s a lack of additional context that explains which competitors are being discussed or how Airbnb differentiates itself.
+- The slide may leave the audience wanting more detailed information that typically would accompany a discussion of competition.
+
+---
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Add Content:** Include bullet points or a brief summary of key competitors and differentiation factors. This will add value by informing the audience.
+- **Visual Elements:** Consider integrating relevant icons or images that represent competitors or the competitive landscape to make the slide more engaging.
+- **Chart Inclusion:** If applicable, add a comparison chart to visualize Airbnb against its competition, making it easier for the audience to grasp competitive positioning.
+- **Contextual Information:** Provide a short introduction or explanation to set the context for why competition is relevant to Airbnb's strategy.
+
+### Data Interpreter
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The title of the slide is "Competition."
+- There is a prominent use of a red rectangular box above the title, but no additional text or context is provided.
+
+---
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Color Scheme:** The slide has a minimal color palette, featuring a light gray background with a red accent shape to highlight the topic.
+- **Typography:** The font appears modern and clean. The title "Competition" is displayed prominently.
+- **Layout:** The slide is sparse, focusing attention on the title. The placement of the title may suggest a focus on discussing competitors next.
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There are no numerical data, charts, or graphs present on the slide. The slide lacks specific quantitative or qualitative metrics relevant to competition analysis.
+
+---
+
+### 4. Message Evaluator
+**Message Delivery and Communication Effectiveness:**
+- The message of "Competition" is appropriately conveyed through the title; however, there’s a lack of additional context that explains which competitors are being discussed or how Airbnb differentiates itself.
+- The slide may leave the audience wanting more detailed information that typically would accompany a discussion of competition.
+
+---
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Add Content:** Include bullet points or a brief summary of key competitors and differentiation factors. This will add value by informing the audience.
+- **Visual Elements:** Consider integrating relevant icons or images that represent competitors or the competitive landscape to make the slide more engaging.
+- **Chart Inclusion:** If applicable, add a comparison chart to visualize Airbnb against its competition, making it easier for the audience to grasp competitive positioning.
+- **Contextual Information:** Provide a short introduction or explanation to set the context for why competition is relevant to Airbnb's strategy.
+
+### Message Evaluator
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The title of the slide is "Competition."
+- There is a prominent use of a red rectangular box above the title, but no additional text or context is provided.
+
+---
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Color Scheme:** The slide has a minimal color palette, featuring a light gray background with a red accent shape to highlight the topic.
+- **Typography:** The font appears modern and clean. The title "Competition" is displayed prominently.
+- **Layout:** The slide is sparse, focusing attention on the title. The placement of the title may suggest a focus on discussing competitors next.
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There are no numerical data, charts, or graphs present on the slide. The slide lacks specific quantitative or qualitative metrics relevant to competition analysis.
+
+---
+
+### 4. Message Evaluator
+**Message Delivery and Communication Effectiveness:**
+- The message of "Competition" is appropriately conveyed through the title; however, there’s a lack of additional context that explains which competitors are being discussed or how Airbnb differentiates itself.
+- The slide may leave the audience wanting more detailed information that typically would accompany a discussion of competition.
+
+---
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Add Content:** Include bullet points or a brief summary of key competitors and differentiation factors. This will add value by informing the audience.
+- **Visual Elements:** Consider integrating relevant icons or images that represent competitors or the competitive landscape to make the slide more engaging.
+- **Chart Inclusion:** If applicable, add a comparison chart to visualize Airbnb against its competition, making it easier for the audience to grasp competitive positioning.
+- **Contextual Information:** Provide a short introduction or explanation to set the context for why competition is relevant to Airbnb's strategy.
+
+### Improvement Suggestor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The title of the slide is "Competition."
+- There is a prominent use of a red rectangular box above the title, but no additional text or context is provided.
+
+---
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Color Scheme:** The slide has a minimal color palette, featuring a light gray background with a red accent shape to highlight the topic.
+- **Typography:** The font appears modern and clean. The title "Competition" is displayed prominently.
+- **Layout:** The slide is sparse, focusing attention on the title. The placement of the title may suggest a focus on discussing competitors next.
+
+---
+
+### 3. Data Interpreter
+**Numerical Data, Charts, Graphs:**
+- There are no numerical data, charts, or graphs present on the slide. The slide lacks specific quantitative or qualitative metrics relevant to competition analysis.
+
+---
+
+### 4. Message Evaluator
+**Message Delivery and Communication Effectiveness:**
+- The message of "Competition" is appropriately conveyed through the title; however, there’s a lack of additional context that explains which competitors are being discussed or how Airbnb differentiates itself.
+- The slide may leave the audience wanting more detailed information that typically would accompany a discussion of competition.
+
+---
+
+### 5. Improvement Suggestor
+**Specific Improvements for Clarity and Impact:**
+- **Add Content:** Include bullet points or a brief summary of key competitors and differentiation factors. This will add value by informing the audience.
+- **Visual Elements:** Consider integrating relevant icons or images that represent competitors or the competitive landscape to make the slide more engaging.
+- **Chart Inclusion:** If applicable, add a comparison chart to visualize Airbnb against its competition, making it easier for the audience to grasp competitive positioning.
+- **Contextual Information:** Provide a short introduction or explanation to set the context for why competition is relevant to Airbnb's strategy.
+
+---
+
+# Slide 13
+
+![Slide 13](slides/AirBnB_Pitch_Deck_slide_013.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+The slide presents a competitive analysis framework that categorizes competitors based on two main dimensions: transaction type (offline vs. online) and cost (affordable vs. expensive). The layout includes four quadrants, each associated with a competitor positioned according to these criteria. The key terms used in the slide are:
+- Affordable
+- Expensive
+- Offline Transaction
+- Online Transaction
+- Competitor
+
+### Visual Analyzer
+
+The slide utilizes a simple and effective layout with a four-quadrant model which makes it easy to understand the competitive positioning. Here are some visual elements:
+- **Color Scheme**: A muted gray background with light pink text for competitor labels creates a modern look but may lack contrast, potentially reducing readability.
+- **Typography**: The use of a bold, simple font for the term "Competitor" ensures clarity, but the text size differentiation could be more pronounced.
+- **Layout**: The quadrant model is well-defined, allowing for a clear visual separation of competitors based on two variables. However, the absence of specific competitor names restricts the effectiveness of the visual representation.
+
+### Data Interpreter
+
+The numerical data is not present in this slide; instead, it is a qualitative analysis tool. The model implies a need for an understanding of how various competitors fall within those four quadrants based on their pricing strategy and transaction method. Further data could enhance this representation by providing specific competitor names and positioning.
+
+### Message Evaluator
+
+The message communicates the competitive landscape adequately; however, it lacks depth due to the absence of specific competitor names. The diagram is straightforward, but without context or examples, its impact may be diminished. The slide invites discussion but requires further details to foster a comprehensive understanding of the competitive positioning.
+
+### Improvement Suggestor
+
+To enhance clarity and impact, consider the following improvements:
+1. **Add Competitor Names**: Specify actual competitor names in each quadrant for more meaningful analysis.
+2. **Increase Text Contrast**: Change the color of the 'Competitor' text or the background to ensure all text is easily readable.
+3. **Expand on Metrics**: Introduce more detailed metrics for each competitor, such as market share or customer satisfaction metrics.
+4. **Enhanced Titles**: Use more descriptive headings for each quadrant, potentially indicating specific market segments or types of competitors.
+5. **Interactive Elements**: If presented digitally, consider making the slide interactive to allow stakeholders to explore different factors influencing competitor positioning.
+
+---
+
+# Slide 14
+
+![Slide 14](slides/AirBnB_Pitch_Deck_slide_014.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### 1. Content Extractor
+**Key Textual Content Summary:**
+- **Header:** Competitive Advantage
+- **Points Listed:**
+   1. **First to Market:** Focused on being the premier transaction-based temporary housing site.
+   2. **Host Incentive:** Hosts can earn money via couchsurfing.com.
+   3. **Ease of Use:** Users can search for listings by price, location, and check-in/check-out dates.
+   4. **Profiles:** Users can browse host profiles and complete bookings in three clicks.
+   5. **List Once:** Hosts can post their listings once, avoiding the need for daily updates as required by Craigslist.
+   6. **Design and Brand:** A memorable name is intended to launch at a historic Democratic National Convention (DNC) to gain brand recognition.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide has a clean, organized structure with distinct sections for each competitive advantage.
+- **Colors:** Uses a minimalist color palette, predominantly with soft backgrounds and vibrant icons in coral to highlight key points.
+- **Typography:** Clean, sans-serif fonts that are easy to read, with a larger header size that clearly denotes the main topic.
+- **Icons:** Each point includes a relevant icon to provide a visual representation of the text, aiding comprehension.
+
+### 3. Data Interpreter
+**Numerical Data/Quantifiable Metrics:**
+- No specific numerical data or metrics are presented. The focus is on qualitative advantages rather than quantitative evidence.
+- Possible implications: "first to market" could suggest an untapped market potential, while "list once" implies a time-saving benefit which may attract more users, though these are not explicitly quantified.
+
+### 4. Message Evaluator
+**Message Delivery and Effectiveness:**
+- **Clarity:** The advantages are articulated clearly and concisely, making it easy for the audience to understand each point.
+- **Relevance:** The points are relevant to the target audience of prospective users and investors, emphasizing ease of use and host incentives.
+- **Engagement:** The use of icons engages the audience visually, potentially increasing retention of the information.
+
+### 5. Improvement Suggestor
+**Specific Suggestions for Clarity and Impact:**
+1. **Quantify Advantages:** Where possible, include quantitative data (e.g., estimated market size, expected income for hosts) to strengthen arguments.
+2. **Highlight Key Benefits:** Use bullet points or bold text to emphasize the most significant competitive advantages for quick scanning.
+3. **Incorporate Graphics:** Add a simple chart or graph to illustrate market potential or user growth to enhance persuasive communication.
+4. **Make “Design and Brand” More Specific:** Provide insight into what the brand aims to achieve (e.g., target demographic, brand personality) to give a clearer picture of brand strategy.
+5. **Consider Call to Action:** End with a motivation or question that encourages follow-up discussion or engagement from the audience.
+
+### Visual Analyzer
+
+### 1. Content Extractor
+**Key Textual Content Summary:**
+- **Header:** Competitive Advantage
+- **Points Listed:**
+   1. **First to Market:** Focused on being the premier transaction-based temporary housing site.
+   2. **Host Incentive:** Hosts can earn money via couchsurfing.com.
+   3. **Ease of Use:** Users can search for listings by price, location, and check-in/check-out dates.
+   4. **Profiles:** Users can browse host profiles and complete bookings in three clicks.
+   5. **List Once:** Hosts can post their listings once, avoiding the need for daily updates as required by Craigslist.
+   6. **Design and Brand:** A memorable name is intended to launch at a historic Democratic National Convention (DNC) to gain brand recognition.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide has a clean, organized structure with distinct sections for each competitive advantage.
+- **Colors:** Uses a minimalist color palette, predominantly with soft backgrounds and vibrant icons in coral to highlight key points.
+- **Typography:** Clean, sans-serif fonts that are easy to read, with a larger header size that clearly denotes the main topic.
+- **Icons:** Each point includes a relevant icon to provide a visual representation of the text, aiding comprehension.
+
+### 3. Data Interpreter
+**Numerical Data/Quantifiable Metrics:**
+- No specific numerical data or metrics are presented. The focus is on qualitative advantages rather than quantitative evidence.
+- Possible implications: "first to market" could suggest an untapped market potential, while "list once" implies a time-saving benefit which may attract more users, though these are not explicitly quantified.
+
+### 4. Message Evaluator
+**Message Delivery and Effectiveness:**
+- **Clarity:** The advantages are articulated clearly and concisely, making it easy for the audience to understand each point.
+- **Relevance:** The points are relevant to the target audience of prospective users and investors, emphasizing ease of use and host incentives.
+- **Engagement:** The use of icons engages the audience visually, potentially increasing retention of the information.
+
+### 5. Improvement Suggestor
+**Specific Suggestions for Clarity and Impact:**
+1. **Quantify Advantages:** Where possible, include quantitative data (e.g., estimated market size, expected income for hosts) to strengthen arguments.
+2. **Highlight Key Benefits:** Use bullet points or bold text to emphasize the most significant competitive advantages for quick scanning.
+3. **Incorporate Graphics:** Add a simple chart or graph to illustrate market potential or user growth to enhance persuasive communication.
+4. **Make “Design and Brand” More Specific:** Provide insight into what the brand aims to achieve (e.g., target demographic, brand personality) to give a clearer picture of brand strategy.
+5. **Consider Call to Action:** End with a motivation or question that encourages follow-up discussion or engagement from the audience.
+
+### Data Interpreter
+
+### 1. Content Extractor
+**Key Textual Content Summary:**
+- **Header:** Competitive Advantage
+- **Points Listed:**
+   1. **First to Market:** Focused on being the premier transaction-based temporary housing site.
+   2. **Host Incentive:** Hosts can earn money via couchsurfing.com.
+   3. **Ease of Use:** Users can search for listings by price, location, and check-in/check-out dates.
+   4. **Profiles:** Users can browse host profiles and complete bookings in three clicks.
+   5. **List Once:** Hosts can post their listings once, avoiding the need for daily updates as required by Craigslist.
+   6. **Design and Brand:** A memorable name is intended to launch at a historic Democratic National Convention (DNC) to gain brand recognition.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide has a clean, organized structure with distinct sections for each competitive advantage.
+- **Colors:** Uses a minimalist color palette, predominantly with soft backgrounds and vibrant icons in coral to highlight key points.
+- **Typography:** Clean, sans-serif fonts that are easy to read, with a larger header size that clearly denotes the main topic.
+- **Icons:** Each point includes a relevant icon to provide a visual representation of the text, aiding comprehension.
+
+### 3. Data Interpreter
+**Numerical Data/Quantifiable Metrics:**
+- No specific numerical data or metrics are presented. The focus is on qualitative advantages rather than quantitative evidence.
+- Possible implications: "first to market" could suggest an untapped market potential, while "list once" implies a time-saving benefit which may attract more users, though these are not explicitly quantified.
+
+### 4. Message Evaluator
+**Message Delivery and Effectiveness:**
+- **Clarity:** The advantages are articulated clearly and concisely, making it easy for the audience to understand each point.
+- **Relevance:** The points are relevant to the target audience of prospective users and investors, emphasizing ease of use and host incentives.
+- **Engagement:** The use of icons engages the audience visually, potentially increasing retention of the information.
+
+### 5. Improvement Suggestor
+**Specific Suggestions for Clarity and Impact:**
+1. **Quantify Advantages:** Where possible, include quantitative data (e.g., estimated market size, expected income for hosts) to strengthen arguments.
+2. **Highlight Key Benefits:** Use bullet points or bold text to emphasize the most significant competitive advantages for quick scanning.
+3. **Incorporate Graphics:** Add a simple chart or graph to illustrate market potential or user growth to enhance persuasive communication.
+4. **Make “Design and Brand” More Specific:** Provide insight into what the brand aims to achieve (e.g., target demographic, brand personality) to give a clearer picture of brand strategy.
+5. **Consider Call to Action:** End with a motivation or question that encourages follow-up discussion or engagement from the audience.
+
+### Message Evaluator
+
+### 1. Content Extractor
+**Key Textual Content Summary:**
+- **Header:** Competitive Advantage
+- **Points Listed:**
+   1. **First to Market:** Focused on being the premier transaction-based temporary housing site.
+   2. **Host Incentive:** Hosts can earn money via couchsurfing.com.
+   3. **Ease of Use:** Users can search for listings by price, location, and check-in/check-out dates.
+   4. **Profiles:** Users can browse host profiles and complete bookings in three clicks.
+   5. **List Once:** Hosts can post their listings once, avoiding the need for daily updates as required by Craigslist.
+   6. **Design and Brand:** A memorable name is intended to launch at a historic Democratic National Convention (DNC) to gain brand recognition.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide has a clean, organized structure with distinct sections for each competitive advantage.
+- **Colors:** Uses a minimalist color palette, predominantly with soft backgrounds and vibrant icons in coral to highlight key points.
+- **Typography:** Clean, sans-serif fonts that are easy to read, with a larger header size that clearly denotes the main topic.
+- **Icons:** Each point includes a relevant icon to provide a visual representation of the text, aiding comprehension.
+
+### 3. Data Interpreter
+**Numerical Data/Quantifiable Metrics:**
+- No specific numerical data or metrics are presented. The focus is on qualitative advantages rather than quantitative evidence.
+- Possible implications: "first to market" could suggest an untapped market potential, while "list once" implies a time-saving benefit which may attract more users, though these are not explicitly quantified.
+
+### 4. Message Evaluator
+**Message Delivery and Effectiveness:**
+- **Clarity:** The advantages are articulated clearly and concisely, making it easy for the audience to understand each point.
+- **Relevance:** The points are relevant to the target audience of prospective users and investors, emphasizing ease of use and host incentives.
+- **Engagement:** The use of icons engages the audience visually, potentially increasing retention of the information.
+
+### 5. Improvement Suggestor
+**Specific Suggestions for Clarity and Impact:**
+1. **Quantify Advantages:** Where possible, include quantitative data (e.g., estimated market size, expected income for hosts) to strengthen arguments.
+2. **Highlight Key Benefits:** Use bullet points or bold text to emphasize the most significant competitive advantages for quick scanning.
+3. **Incorporate Graphics:** Add a simple chart or graph to illustrate market potential or user growth to enhance persuasive communication.
+4. **Make “Design and Brand” More Specific:** Provide insight into what the brand aims to achieve (e.g., target demographic, brand personality) to give a clearer picture of brand strategy.
+5. **Consider Call to Action:** End with a motivation or question that encourages follow-up discussion or engagement from the audience.
+
+### Improvement Suggestor
+
+### 1. Content Extractor
+**Key Textual Content Summary:**
+- **Header:** Competitive Advantage
+- **Points Listed:**
+   1. **First to Market:** Focused on being the premier transaction-based temporary housing site.
+   2. **Host Incentive:** Hosts can earn money via couchsurfing.com.
+   3. **Ease of Use:** Users can search for listings by price, location, and check-in/check-out dates.
+   4. **Profiles:** Users can browse host profiles and complete bookings in three clicks.
+   5. **List Once:** Hosts can post their listings once, avoiding the need for daily updates as required by Craigslist.
+   6. **Design and Brand:** A memorable name is intended to launch at a historic Democratic National Convention (DNC) to gain brand recognition.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The slide has a clean, organized structure with distinct sections for each competitive advantage.
+- **Colors:** Uses a minimalist color palette, predominantly with soft backgrounds and vibrant icons in coral to highlight key points.
+- **Typography:** Clean, sans-serif fonts that are easy to read, with a larger header size that clearly denotes the main topic.
+- **Icons:** Each point includes a relevant icon to provide a visual representation of the text, aiding comprehension.
+
+### 3. Data Interpreter
+**Numerical Data/Quantifiable Metrics:**
+- No specific numerical data or metrics are presented. The focus is on qualitative advantages rather than quantitative evidence.
+- Possible implications: "first to market" could suggest an untapped market potential, while "list once" implies a time-saving benefit which may attract more users, though these are not explicitly quantified.
+
+### 4. Message Evaluator
+**Message Delivery and Effectiveness:**
+- **Clarity:** The advantages are articulated clearly and concisely, making it easy for the audience to understand each point.
+- **Relevance:** The points are relevant to the target audience of prospective users and investors, emphasizing ease of use and host incentives.
+- **Engagement:** The use of icons engages the audience visually, potentially increasing retention of the information.
+
+### 5. Improvement Suggestor
+**Specific Suggestions for Clarity and Impact:**
+1. **Quantify Advantages:** Where possible, include quantitative data (e.g., estimated market size, expected income for hosts) to strengthen arguments.
+2. **Highlight Key Benefits:** Use bullet points or bold text to emphasize the most significant competitive advantages for quick scanning.
+3. **Incorporate Graphics:** Add a simple chart or graph to illustrate market potential or user growth to enhance persuasive communication.
+4. **Make “Design and Brand” More Specific:** Provide insight into what the brand aims to achieve (e.g., target demographic, brand personality) to give a clearer picture of brand strategy.
+5. **Consider Call to Action:** End with a motivation or question that encourages follow-up discussion or engagement from the audience.
+
+---
+
+# Slide 15
+
+![Slide 15](slides/AirBnB_Pitch_Deck_slide_015.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### 1. Content Extractor
+The slide presents key information about the team members of Airbnb:
+- **Joe Gebbia**: User Interface & PR expert with a patent and dual BFAs in graphic and industrial design from Rhode Island School of Design (RISD).
+- **Brian Chesky**: Focuses on Business Development & Brand, founder of his own design consultancy, with a BFA in industrial design from RISD.
+- **Nathan Blecharczyk**: Developer who created a Facebook app with 75,000 users, studied Computer Science at Harvard, and has experience working at Microsoft and other tech companies.
+
+### 2. Visual Analyzer
+- **Layout**: The slide is organized horizontally, with a clear separation between each team member.
+- **Colors**: The predominant color is a soft, muted background with a striking red bar at the left, which may emphasize the company name or section title.
+- **Typography**: The team title uses a modern sans-serif font, ensuring legibility. Names are emphasized with a bold typeface, while descriptions are in a lighter font weight for a hierarchy in information presentation.
+- **Images**: Circular photo frames are used, creating a uniform look for each team member and adding a personable touch.
+
+### 3. Data Interpreter
+- **Quantitative Data**: Nathan Blecharczyk's app "Your neighbors" is mentioned to have 75,000 users, which provides a measure of his impact and success in the digital space. It highlights his relevant experience in technology and app development.
+- **Educational Credentials**: Two team members, Joe and Brian, both attended the Rhode Island School of Design, which could establish a strong background in design thinking and creativity.
+
+### 4. Message Evaluator
+- **Effectiveness**: The message effectively communicates the professional backgrounds and expertise of each team member, establishing credentials and relevance to their roles within Airbnb.
+- **Clarity**: Each team member’s role is clearly stated, followed by a brief but informative description. This enables viewers to quickly grasp their unique contributions.
+- **Engagement**: The use of personal achievements and educational backgrounds adds a narrative that can engage the audience, helping them relate to the team on a professional level.
+
+### 5. Improvement Suggestor
+- **Highlighting Impact**: Consider adding the specific contributions each member has made to Airbnb to enhance understanding of their roles beyond titles.
+- **Visual Consistency**: If possible, maintain consistent styling in the photos (e.g., all in color or black and white) to unify the visual presentation.
+- **Bullet Points**: For the descriptions, bullet points could be used to improve readability and allow viewers to quickly scan for key information.
+- **More about Airbnb**: Including a brief statement about Airbnb’s mission or vision could provide context for the team's expertise and reinforce their alignment with the company's goals.
+
+### Visual Analyzer
+
+### 1. Content Extractor
+The slide presents key information about the team members of Airbnb:
+- **Joe Gebbia**: User Interface & PR expert with a patent and dual BFAs in graphic and industrial design from Rhode Island School of Design (RISD).
+- **Brian Chesky**: Focuses on Business Development & Brand, founder of his own design consultancy, with a BFA in industrial design from RISD.
+- **Nathan Blecharczyk**: Developer who created a Facebook app with 75,000 users, studied Computer Science at Harvard, and has experience working at Microsoft and other tech companies.
+
+### 2. Visual Analyzer
+- **Layout**: The slide is organized horizontally, with a clear separation between each team member.
+- **Colors**: The predominant color is a soft, muted background with a striking red bar at the left, which may emphasize the company name or section title.
+- **Typography**: The team title uses a modern sans-serif font, ensuring legibility. Names are emphasized with a bold typeface, while descriptions are in a lighter font weight for a hierarchy in information presentation.
+- **Images**: Circular photo frames are used, creating a uniform look for each team member and adding a personable touch.
+
+### 3. Data Interpreter
+- **Quantitative Data**: Nathan Blecharczyk's app "Your neighbors" is mentioned to have 75,000 users, which provides a measure of his impact and success in the digital space. It highlights his relevant experience in technology and app development.
+- **Educational Credentials**: Two team members, Joe and Brian, both attended the Rhode Island School of Design, which could establish a strong background in design thinking and creativity.
+
+### 4. Message Evaluator
+- **Effectiveness**: The message effectively communicates the professional backgrounds and expertise of each team member, establishing credentials and relevance to their roles within Airbnb.
+- **Clarity**: Each team member’s role is clearly stated, followed by a brief but informative description. This enables viewers to quickly grasp their unique contributions.
+- **Engagement**: The use of personal achievements and educational backgrounds adds a narrative that can engage the audience, helping them relate to the team on a professional level.
+
+### 5. Improvement Suggestor
+- **Highlighting Impact**: Consider adding the specific contributions each member has made to Airbnb to enhance understanding of their roles beyond titles.
+- **Visual Consistency**: If possible, maintain consistent styling in the photos (e.g., all in color or black and white) to unify the visual presentation.
+- **Bullet Points**: For the descriptions, bullet points could be used to improve readability and allow viewers to quickly scan for key information.
+- **More about Airbnb**: Including a brief statement about Airbnb’s mission or vision could provide context for the team's expertise and reinforce their alignment with the company's goals.
+
+### Data Interpreter
+
+### 1. Content Extractor
+The slide presents key information about the team members of Airbnb:
+- **Joe Gebbia**: User Interface & PR expert with a patent and dual BFAs in graphic and industrial design from Rhode Island School of Design (RISD).
+- **Brian Chesky**: Focuses on Business Development & Brand, founder of his own design consultancy, with a BFA in industrial design from RISD.
+- **Nathan Blecharczyk**: Developer who created a Facebook app with 75,000 users, studied Computer Science at Harvard, and has experience working at Microsoft and other tech companies.
+
+### 2. Visual Analyzer
+- **Layout**: The slide is organized horizontally, with a clear separation between each team member.
+- **Colors**: The predominant color is a soft, muted background with a striking red bar at the left, which may emphasize the company name or section title.
+- **Typography**: The team title uses a modern sans-serif font, ensuring legibility. Names are emphasized with a bold typeface, while descriptions are in a lighter font weight for a hierarchy in information presentation.
+- **Images**: Circular photo frames are used, creating a uniform look for each team member and adding a personable touch.
+
+### 3. Data Interpreter
+- **Quantitative Data**: Nathan Blecharczyk's app "Your neighbors" is mentioned to have 75,000 users, which provides a measure of his impact and success in the digital space. It highlights his relevant experience in technology and app development.
+- **Educational Credentials**: Two team members, Joe and Brian, both attended the Rhode Island School of Design, which could establish a strong background in design thinking and creativity.
+
+### 4. Message Evaluator
+- **Effectiveness**: The message effectively communicates the professional backgrounds and expertise of each team member, establishing credentials and relevance to their roles within Airbnb.
+- **Clarity**: Each team member’s role is clearly stated, followed by a brief but informative description. This enables viewers to quickly grasp their unique contributions.
+- **Engagement**: The use of personal achievements and educational backgrounds adds a narrative that can engage the audience, helping them relate to the team on a professional level.
+
+### 5. Improvement Suggestor
+- **Highlighting Impact**: Consider adding the specific contributions each member has made to Airbnb to enhance understanding of their roles beyond titles.
+- **Visual Consistency**: If possible, maintain consistent styling in the photos (e.g., all in color or black and white) to unify the visual presentation.
+- **Bullet Points**: For the descriptions, bullet points could be used to improve readability and allow viewers to quickly scan for key information.
+- **More about Airbnb**: Including a brief statement about Airbnb’s mission or vision could provide context for the team's expertise and reinforce their alignment with the company's goals.
+
+### Message Evaluator
+
+### 1. Content Extractor
+The slide presents key information about the team members of Airbnb:
+- **Joe Gebbia**: User Interface & PR expert with a patent and dual BFAs in graphic and industrial design from Rhode Island School of Design (RISD).
+- **Brian Chesky**: Focuses on Business Development & Brand, founder of his own design consultancy, with a BFA in industrial design from RISD.
+- **Nathan Blecharczyk**: Developer who created a Facebook app with 75,000 users, studied Computer Science at Harvard, and has experience working at Microsoft and other tech companies.
+
+### 2. Visual Analyzer
+- **Layout**: The slide is organized horizontally, with a clear separation between each team member.
+- **Colors**: The predominant color is a soft, muted background with a striking red bar at the left, which may emphasize the company name or section title.
+- **Typography**: The team title uses a modern sans-serif font, ensuring legibility. Names are emphasized with a bold typeface, while descriptions are in a lighter font weight for a hierarchy in information presentation.
+- **Images**: Circular photo frames are used, creating a uniform look for each team member and adding a personable touch.
+
+### 3. Data Interpreter
+- **Quantitative Data**: Nathan Blecharczyk's app "Your neighbors" is mentioned to have 75,000 users, which provides a measure of his impact and success in the digital space. It highlights his relevant experience in technology and app development.
+- **Educational Credentials**: Two team members, Joe and Brian, both attended the Rhode Island School of Design, which could establish a strong background in design thinking and creativity.
+
+### 4. Message Evaluator
+- **Effectiveness**: The message effectively communicates the professional backgrounds and expertise of each team member, establishing credentials and relevance to their roles within Airbnb.
+- **Clarity**: Each team member’s role is clearly stated, followed by a brief but informative description. This enables viewers to quickly grasp their unique contributions.
+- **Engagement**: The use of personal achievements and educational backgrounds adds a narrative that can engage the audience, helping them relate to the team on a professional level.
+
+### 5. Improvement Suggestor
+- **Highlighting Impact**: Consider adding the specific contributions each member has made to Airbnb to enhance understanding of their roles beyond titles.
+- **Visual Consistency**: If possible, maintain consistent styling in the photos (e.g., all in color or black and white) to unify the visual presentation.
+- **Bullet Points**: For the descriptions, bullet points could be used to improve readability and allow viewers to quickly scan for key information.
+- **More about Airbnb**: Including a brief statement about Airbnb’s mission or vision could provide context for the team's expertise and reinforce their alignment with the company's goals.
+
+### Improvement Suggestor
+
+### 1. Content Extractor
+The slide presents key information about the team members of Airbnb:
+- **Joe Gebbia**: User Interface & PR expert with a patent and dual BFAs in graphic and industrial design from Rhode Island School of Design (RISD).
+- **Brian Chesky**: Focuses on Business Development & Brand, founder of his own design consultancy, with a BFA in industrial design from RISD.
+- **Nathan Blecharczyk**: Developer who created a Facebook app with 75,000 users, studied Computer Science at Harvard, and has experience working at Microsoft and other tech companies.
+
+### 2. Visual Analyzer
+- **Layout**: The slide is organized horizontally, with a clear separation between each team member.
+- **Colors**: The predominant color is a soft, muted background with a striking red bar at the left, which may emphasize the company name or section title.
+- **Typography**: The team title uses a modern sans-serif font, ensuring legibility. Names are emphasized with a bold typeface, while descriptions are in a lighter font weight for a hierarchy in information presentation.
+- **Images**: Circular photo frames are used, creating a uniform look for each team member and adding a personable touch.
+
+### 3. Data Interpreter
+- **Quantitative Data**: Nathan Blecharczyk's app "Your neighbors" is mentioned to have 75,000 users, which provides a measure of his impact and success in the digital space. It highlights his relevant experience in technology and app development.
+- **Educational Credentials**: Two team members, Joe and Brian, both attended the Rhode Island School of Design, which could establish a strong background in design thinking and creativity.
+
+### 4. Message Evaluator
+- **Effectiveness**: The message effectively communicates the professional backgrounds and expertise of each team member, establishing credentials and relevance to their roles within Airbnb.
+- **Clarity**: Each team member’s role is clearly stated, followed by a brief but informative description. This enables viewers to quickly grasp their unique contributions.
+- **Engagement**: The use of personal achievements and educational backgrounds adds a narrative that can engage the audience, helping them relate to the team on a professional level.
+
+### 5. Improvement Suggestor
+- **Highlighting Impact**: Consider adding the specific contributions each member has made to Airbnb to enhance understanding of their roles beyond titles.
+- **Visual Consistency**: If possible, maintain consistent styling in the photos (e.g., all in color or black and white) to unify the visual presentation.
+- **Bullet Points**: For the descriptions, bullet points could be used to improve readability and allow viewers to quickly scan for key information.
+- **More about Airbnb**: Including a brief statement about Airbnb’s mission or vision could provide context for the team's expertise and reinforce their alignment with the company's goals.
+
+---
+
+# Slide 16
+
+![Slide 16](slides/AirBnB_Pitch_Deck_slide_016.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+Here's the analysis of slide 16 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The slide features three quotes about Airbnb, showcasing positive press comments:
+  - **Webware:** It describes Airbnb as "a fun approach to CouchSurfing."
+  - **Mashable:** Highlights it as "a cool alternative to a boring evening in a hotel room."
+  - **Josh Spear:** Uses a metaphor comparing it to "Craigslist meets hotels.com, but a lot less crappy."
+- The title “Press” indicates that the content is derived from media reviews.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The quotes are well-organized, with clear separation for each source, enhancing readability.
+- **Colors:** A combination of light backgrounds with dark text provides good contrast. The use of a bright pink block for the title draws attention.
+- **Typography:** The quotes are in a bold font, which emphasizes the opinions, while the names of the sources are in a simpler, less bold typeface, creating a hierarchy in text importance.
+- **Logo:** The Airbnb logo is prominently placed, instilling brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- While there are no numerical data or quantitative measures presented in this slide, the qualitative insights provided through the quotes suggest positive growth potential and customer appeal of the service, which can be valuable for stakeholder perception.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively presents endorsements from reputable sources, enhancing credibility.
+- The tone of the quotes is casual and approachable, which aligns well with Airbnb's brand as a friendly and unique alternative to traditional lodging.
+- The varying perspectives (fun approach, alternative experience, and a unique comparison) provide a well-rounded view of what consumers and critics appreciate about the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Source Credibility:** Consider including a brief descriptor of the credibility of the sources, especially if not widely known (e.g., "Webware - a tech and innovation magazine").
+- **Visual Enhancements:** Adding some visual elements such as icons or images related to travel or hospitality could enhance engagement.
+- **Call to Action:** Incorporating a subtle call to action at the end could encourage viewers to explore Airbnb through a link or QR code.
+- **Arrange by Impact:** Consider arranging the quotes by the impact they have on potential customers, placing the most compelling or relatable quote at the top.
+
+This analysis highlights both the strengths of the slide and areas for potential enhancement to maximize its impact.
+
+### Visual Analyzer
+
+Here's the analysis of slide 16 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The slide features three quotes about Airbnb, showcasing positive press comments:
+  - **Webware:** It describes Airbnb as "a fun approach to CouchSurfing."
+  - **Mashable:** Highlights it as "a cool alternative to a boring evening in a hotel room."
+  - **Josh Spear:** Uses a metaphor comparing it to "Craigslist meets hotels.com, but a lot less crappy."
+- The title “Press” indicates that the content is derived from media reviews.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The quotes are well-organized, with clear separation for each source, enhancing readability.
+- **Colors:** A combination of light backgrounds with dark text provides good contrast. The use of a bright pink block for the title draws attention.
+- **Typography:** The quotes are in a bold font, which emphasizes the opinions, while the names of the sources are in a simpler, less bold typeface, creating a hierarchy in text importance.
+- **Logo:** The Airbnb logo is prominently placed, instilling brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- While there are no numerical data or quantitative measures presented in this slide, the qualitative insights provided through the quotes suggest positive growth potential and customer appeal of the service, which can be valuable for stakeholder perception.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively presents endorsements from reputable sources, enhancing credibility.
+- The tone of the quotes is casual and approachable, which aligns well with Airbnb's brand as a friendly and unique alternative to traditional lodging.
+- The varying perspectives (fun approach, alternative experience, and a unique comparison) provide a well-rounded view of what consumers and critics appreciate about the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Source Credibility:** Consider including a brief descriptor of the credibility of the sources, especially if not widely known (e.g., "Webware - a tech and innovation magazine").
+- **Visual Enhancements:** Adding some visual elements such as icons or images related to travel or hospitality could enhance engagement.
+- **Call to Action:** Incorporating a subtle call to action at the end could encourage viewers to explore Airbnb through a link or QR code.
+- **Arrange by Impact:** Consider arranging the quotes by the impact they have on potential customers, placing the most compelling or relatable quote at the top.
+
+This analysis highlights both the strengths of the slide and areas for potential enhancement to maximize its impact.
+
+### Data Interpreter
+
+Here's the analysis of slide 16 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The slide features three quotes about Airbnb, showcasing positive press comments:
+  - **Webware:** It describes Airbnb as "a fun approach to CouchSurfing."
+  - **Mashable:** Highlights it as "a cool alternative to a boring evening in a hotel room."
+  - **Josh Spear:** Uses a metaphor comparing it to "Craigslist meets hotels.com, but a lot less crappy."
+- The title “Press” indicates that the content is derived from media reviews.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The quotes are well-organized, with clear separation for each source, enhancing readability.
+- **Colors:** A combination of light backgrounds with dark text provides good contrast. The use of a bright pink block for the title draws attention.
+- **Typography:** The quotes are in a bold font, which emphasizes the opinions, while the names of the sources are in a simpler, less bold typeface, creating a hierarchy in text importance.
+- **Logo:** The Airbnb logo is prominently placed, instilling brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- While there are no numerical data or quantitative measures presented in this slide, the qualitative insights provided through the quotes suggest positive growth potential and customer appeal of the service, which can be valuable for stakeholder perception.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively presents endorsements from reputable sources, enhancing credibility.
+- The tone of the quotes is casual and approachable, which aligns well with Airbnb's brand as a friendly and unique alternative to traditional lodging.
+- The varying perspectives (fun approach, alternative experience, and a unique comparison) provide a well-rounded view of what consumers and critics appreciate about the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Source Credibility:** Consider including a brief descriptor of the credibility of the sources, especially if not widely known (e.g., "Webware - a tech and innovation magazine").
+- **Visual Enhancements:** Adding some visual elements such as icons or images related to travel or hospitality could enhance engagement.
+- **Call to Action:** Incorporating a subtle call to action at the end could encourage viewers to explore Airbnb through a link or QR code.
+- **Arrange by Impact:** Consider arranging the quotes by the impact they have on potential customers, placing the most compelling or relatable quote at the top.
+
+This analysis highlights both the strengths of the slide and areas for potential enhancement to maximize its impact.
+
+### Message Evaluator
+
+Here's the analysis of slide 16 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The slide features three quotes about Airbnb, showcasing positive press comments:
+  - **Webware:** It describes Airbnb as "a fun approach to CouchSurfing."
+  - **Mashable:** Highlights it as "a cool alternative to a boring evening in a hotel room."
+  - **Josh Spear:** Uses a metaphor comparing it to "Craigslist meets hotels.com, but a lot less crappy."
+- The title “Press” indicates that the content is derived from media reviews.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The quotes are well-organized, with clear separation for each source, enhancing readability.
+- **Colors:** A combination of light backgrounds with dark text provides good contrast. The use of a bright pink block for the title draws attention.
+- **Typography:** The quotes are in a bold font, which emphasizes the opinions, while the names of the sources are in a simpler, less bold typeface, creating a hierarchy in text importance.
+- **Logo:** The Airbnb logo is prominently placed, instilling brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- While there are no numerical data or quantitative measures presented in this slide, the qualitative insights provided through the quotes suggest positive growth potential and customer appeal of the service, which can be valuable for stakeholder perception.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively presents endorsements from reputable sources, enhancing credibility.
+- The tone of the quotes is casual and approachable, which aligns well with Airbnb's brand as a friendly and unique alternative to traditional lodging.
+- The varying perspectives (fun approach, alternative experience, and a unique comparison) provide a well-rounded view of what consumers and critics appreciate about the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Source Credibility:** Consider including a brief descriptor of the credibility of the sources, especially if not widely known (e.g., "Webware - a tech and innovation magazine").
+- **Visual Enhancements:** Adding some visual elements such as icons or images related to travel or hospitality could enhance engagement.
+- **Call to Action:** Incorporating a subtle call to action at the end could encourage viewers to explore Airbnb through a link or QR code.
+- **Arrange by Impact:** Consider arranging the quotes by the impact they have on potential customers, placing the most compelling or relatable quote at the top.
+
+This analysis highlights both the strengths of the slide and areas for potential enhancement to maximize its impact.
+
+### Improvement Suggestor
+
+Here's the analysis of slide 16 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- The slide features three quotes about Airbnb, showcasing positive press comments:
+  - **Webware:** It describes Airbnb as "a fun approach to CouchSurfing."
+  - **Mashable:** Highlights it as "a cool alternative to a boring evening in a hotel room."
+  - **Josh Spear:** Uses a metaphor comparing it to "Craigslist meets hotels.com, but a lot less crappy."
+- The title “Press” indicates that the content is derived from media reviews.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The quotes are well-organized, with clear separation for each source, enhancing readability.
+- **Colors:** A combination of light backgrounds with dark text provides good contrast. The use of a bright pink block for the title draws attention.
+- **Typography:** The quotes are in a bold font, which emphasizes the opinions, while the names of the sources are in a simpler, less bold typeface, creating a hierarchy in text importance.
+- **Logo:** The Airbnb logo is prominently placed, instilling brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data and Metrics:**
+- While there are no numerical data or quantitative measures presented in this slide, the qualitative insights provided through the quotes suggest positive growth potential and customer appeal of the service, which can be valuable for stakeholder perception.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- The slide effectively presents endorsements from reputable sources, enhancing credibility.
+- The tone of the quotes is casual and approachable, which aligns well with Airbnb's brand as a friendly and unique alternative to traditional lodging.
+- The varying perspectives (fun approach, alternative experience, and a unique comparison) provide a well-rounded view of what consumers and critics appreciate about the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Source Credibility:** Consider including a brief descriptor of the credibility of the sources, especially if not widely known (e.g., "Webware - a tech and innovation magazine").
+- **Visual Enhancements:** Adding some visual elements such as icons or images related to travel or hospitality could enhance engagement.
+- **Call to Action:** Incorporating a subtle call to action at the end could encourage viewers to explore Airbnb through a link or QR code.
+- **Arrange by Impact:** Consider arranging the quotes by the impact they have on potential customers, placing the most compelling or relatable quote at the top.
+
+This analysis highlights both the strengths of the slide and areas for potential enhancement to maximize its impact.
+
+---
+
+# Slide 17
+
+![Slide 17](slides/AirBnB_Pitch_Deck_slide_017.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "User Testimonials"
+- Testimonials:
+  - Josue F, Washington DC: "AirBed & Breakfast freaking rocks!"
+  - Emily M, Austin TX: "A complete success! It is easy to use and made me money."
+  - Dan A, Ontario, Canada: "It's about the ideas, the interactions, the people. You don't get that in a hotel room."
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** A clean and straightforward layout with testimonials clearly separated.
+- **Colors:** 
+  - Background is a soft, light color that enhances readability.
+  - A bold red rectangle behind the word "User Testimonials" draws attention effectively.
+- **Typography:**
+  - The title is prominently displayed with a clear, sans-serif font that conveys modernity.
+  - Testimonials are in a slightly smaller font but maintain clarity.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- While there is no numerical data present, the survey of user satisfaction can be inferred through qualitative testimonials.
+- Each testimonial represents individual user experiences, reflecting positive sentiment towards the Airbnb platform.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The slide effectively conveys users' positive experiences with Airbnb through personal testimonials.
+- The messaging is direct and engages the audience by showcasing real user feedback, enhancing authenticity and trust.
+- Emotional appeal is present in the testimonials, demonstrating the personal connection users have with the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Adding Visual Elements:** Consider including images or avatars next to each testimonial to provide a visual connection to the users quoted.
+- **Highlighting Key Phrases:** Emphasize key phrases in the testimonials (e.g., "easy to use," "made me money") using different font styles or colors for better impact.
+- **Incorporating Ratings/Statistics:** To enhance credibility, add a statistic or rating (e.g., average user satisfaction rating) to support the testimonials.
+- **Balancing Text with Space:** Ensure there's enough whitespace around each testimonial to avoid visual clutter and improve readability.
+- **Call to Action:** A brief call to action or next steps (“Join our community!”) could be integrated to encourage engagement after reading the testimonials.
+
+### Visual Analyzer
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "User Testimonials"
+- Testimonials:
+  - Josue F, Washington DC: "AirBed & Breakfast freaking rocks!"
+  - Emily M, Austin TX: "A complete success! It is easy to use and made me money."
+  - Dan A, Ontario, Canada: "It's about the ideas, the interactions, the people. You don't get that in a hotel room."
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** A clean and straightforward layout with testimonials clearly separated.
+- **Colors:** 
+  - Background is a soft, light color that enhances readability.
+  - A bold red rectangle behind the word "User Testimonials" draws attention effectively.
+- **Typography:**
+  - The title is prominently displayed with a clear, sans-serif font that conveys modernity.
+  - Testimonials are in a slightly smaller font but maintain clarity.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- While there is no numerical data present, the survey of user satisfaction can be inferred through qualitative testimonials.
+- Each testimonial represents individual user experiences, reflecting positive sentiment towards the Airbnb platform.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The slide effectively conveys users' positive experiences with Airbnb through personal testimonials.
+- The messaging is direct and engages the audience by showcasing real user feedback, enhancing authenticity and trust.
+- Emotional appeal is present in the testimonials, demonstrating the personal connection users have with the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Adding Visual Elements:** Consider including images or avatars next to each testimonial to provide a visual connection to the users quoted.
+- **Highlighting Key Phrases:** Emphasize key phrases in the testimonials (e.g., "easy to use," "made me money") using different font styles or colors for better impact.
+- **Incorporating Ratings/Statistics:** To enhance credibility, add a statistic or rating (e.g., average user satisfaction rating) to support the testimonials.
+- **Balancing Text with Space:** Ensure there's enough whitespace around each testimonial to avoid visual clutter and improve readability.
+- **Call to Action:** A brief call to action or next steps (“Join our community!”) could be integrated to encourage engagement after reading the testimonials.
+
+### Data Interpreter
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "User Testimonials"
+- Testimonials:
+  - Josue F, Washington DC: "AirBed & Breakfast freaking rocks!"
+  - Emily M, Austin TX: "A complete success! It is easy to use and made me money."
+  - Dan A, Ontario, Canada: "It's about the ideas, the interactions, the people. You don't get that in a hotel room."
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** A clean and straightforward layout with testimonials clearly separated.
+- **Colors:** 
+  - Background is a soft, light color that enhances readability.
+  - A bold red rectangle behind the word "User Testimonials" draws attention effectively.
+- **Typography:**
+  - The title is prominently displayed with a clear, sans-serif font that conveys modernity.
+  - Testimonials are in a slightly smaller font but maintain clarity.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- While there is no numerical data present, the survey of user satisfaction can be inferred through qualitative testimonials.
+- Each testimonial represents individual user experiences, reflecting positive sentiment towards the Airbnb platform.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The slide effectively conveys users' positive experiences with Airbnb through personal testimonials.
+- The messaging is direct and engages the audience by showcasing real user feedback, enhancing authenticity and trust.
+- Emotional appeal is present in the testimonials, demonstrating the personal connection users have with the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Adding Visual Elements:** Consider including images or avatars next to each testimonial to provide a visual connection to the users quoted.
+- **Highlighting Key Phrases:** Emphasize key phrases in the testimonials (e.g., "easy to use," "made me money") using different font styles or colors for better impact.
+- **Incorporating Ratings/Statistics:** To enhance credibility, add a statistic or rating (e.g., average user satisfaction rating) to support the testimonials.
+- **Balancing Text with Space:** Ensure there's enough whitespace around each testimonial to avoid visual clutter and improve readability.
+- **Call to Action:** A brief call to action or next steps (“Join our community!”) could be integrated to encourage engagement after reading the testimonials.
+
+### Message Evaluator
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "User Testimonials"
+- Testimonials:
+  - Josue F, Washington DC: "AirBed & Breakfast freaking rocks!"
+  - Emily M, Austin TX: "A complete success! It is easy to use and made me money."
+  - Dan A, Ontario, Canada: "It's about the ideas, the interactions, the people. You don't get that in a hotel room."
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** A clean and straightforward layout with testimonials clearly separated.
+- **Colors:** 
+  - Background is a soft, light color that enhances readability.
+  - A bold red rectangle behind the word "User Testimonials" draws attention effectively.
+- **Typography:**
+  - The title is prominently displayed with a clear, sans-serif font that conveys modernity.
+  - Testimonials are in a slightly smaller font but maintain clarity.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- While there is no numerical data present, the survey of user satisfaction can be inferred through qualitative testimonials.
+- Each testimonial represents individual user experiences, reflecting positive sentiment towards the Airbnb platform.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The slide effectively conveys users' positive experiences with Airbnb through personal testimonials.
+- The messaging is direct and engages the audience by showcasing real user feedback, enhancing authenticity and trust.
+- Emotional appeal is present in the testimonials, demonstrating the personal connection users have with the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Adding Visual Elements:** Consider including images or avatars next to each testimonial to provide a visual connection to the users quoted.
+- **Highlighting Key Phrases:** Emphasize key phrases in the testimonials (e.g., "easy to use," "made me money") using different font styles or colors for better impact.
+- **Incorporating Ratings/Statistics:** To enhance credibility, add a statistic or rating (e.g., average user satisfaction rating) to support the testimonials.
+- **Balancing Text with Space:** Ensure there's enough whitespace around each testimonial to avoid visual clutter and improve readability.
+- **Call to Action:** A brief call to action or next steps (“Join our community!”) could be integrated to encourage engagement after reading the testimonials.
+
+### Improvement Suggestor
+
+### 1. Content Extractor
+**Key Textual Content:**
+- Title: "User Testimonials"
+- Testimonials:
+  - Josue F, Washington DC: "AirBed & Breakfast freaking rocks!"
+  - Emily M, Austin TX: "A complete success! It is easy to use and made me money."
+  - Dan A, Ontario, Canada: "It's about the ideas, the interactions, the people. You don't get that in a hotel room."
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** A clean and straightforward layout with testimonials clearly separated.
+- **Colors:** 
+  - Background is a soft, light color that enhances readability.
+  - A bold red rectangle behind the word "User Testimonials" draws attention effectively.
+- **Typography:**
+  - The title is prominently displayed with a clear, sans-serif font that conveys modernity.
+  - Testimonials are in a slightly smaller font but maintain clarity.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- While there is no numerical data present, the survey of user satisfaction can be inferred through qualitative testimonials.
+- Each testimonial represents individual user experiences, reflecting positive sentiment towards the Airbnb platform.
+
+### 4. Message Evaluator
+**Message Delivery:**
+- The slide effectively conveys users' positive experiences with Airbnb through personal testimonials.
+- The messaging is direct and engages the audience by showcasing real user feedback, enhancing authenticity and trust.
+- Emotional appeal is present in the testimonials, demonstrating the personal connection users have with the service.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Adding Visual Elements:** Consider including images or avatars next to each testimonial to provide a visual connection to the users quoted.
+- **Highlighting Key Phrases:** Emphasize key phrases in the testimonials (e.g., "easy to use," "made me money") using different font styles or colors for better impact.
+- **Incorporating Ratings/Statistics:** To enhance credibility, add a statistic or rating (e.g., average user satisfaction rating) to support the testimonials.
+- **Balancing Text with Space:** Ensure there's enough whitespace around each testimonial to avoid visual clutter and improve readability.
+- **Call to Action:** A brief call to action or next steps (“Join our community!”) could be integrated to encourage engagement after reading the testimonials.
+
+---
+
+# Slide 18
+
+![Slide 18](slides/AirBnB_Pitch_Deck_slide_018.png)
+
+## Agentic Analysis
+
+### Content Extractor
+
+Here's the analysis of slide 18 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Title:** Financial
+- **Objective:** Seeking 12 months of financing.
+- **Goal:** Reach 80,000 transactions on AirBed&Breakfast.
+- **Funding Request:** $500K (Angel Round, initial investment opportunity).
+- **Projected Transactions:** 80K Trips with AirBed&Breakfast, averaging $25.
+- **Projected Revenue:** $2M over 12 months.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is clean and straightforward, emphasizing essential financial figures.
+- **Colors:** A soft background with a red accent for the title, providing a clear contrast that draws attention.
+- **Typography:** The title "Financial" is bold, facilitating easy recognition. The numerical data has a large, noticeable font, while the accompanying labels are smaller, creating a clear hierarchy of information.
+- **Logo:** The Airbnb logo is present, reinforcing brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- **Funding:** The slide requests $500,000 for initial investments.
+- **Expected Transactions:** A goal of 80,000 trips, indicating a potential to attract substantial customer engagement.
+- **Revenue Projection:** Expected revenue of $2 million over one year, assuming all transactions occur as projected.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- **Clarity:** The message is clear and to the point. The use of concise phrases helps convey the financial needs and projections effectively.
+- **Relevance:** Information is pertinent to potential investors, emphasizing funding, transaction goals, and revenue expectations.
+- **Engagement:** The straightforward presentation invites investor interest while maintaining professional tone.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Contextual Information:** It could enhance clarity by briefly explaining AirBed&Breakfast for audiences unfamiliar with the concept.
+- **Visual Cues:** Utilizing a visual graph or chart to illustrate projected growth could provide a more dynamic presentation of data.
+- **Call to Action:** Adding a stronger call to action beyond just stating the funding requirement (e.g., "Join us in capitalizing on this opportunity") might engage investors more effectively.
+- **Additional Metrics:** Consider adding more qualitative metrics, such as projected customer satisfaction or market growth, to provide a holistic view of potential investment outcomes.
+
+### Visual Analyzer
+
+Here's the analysis of slide 18 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Title:** Financial
+- **Objective:** Seeking 12 months of financing.
+- **Goal:** Reach 80,000 transactions on AirBed&Breakfast.
+- **Funding Request:** $500K (Angel Round, initial investment opportunity).
+- **Projected Transactions:** 80K Trips with AirBed&Breakfast, averaging $25.
+- **Projected Revenue:** $2M over 12 months.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is clean and straightforward, emphasizing essential financial figures.
+- **Colors:** A soft background with a red accent for the title, providing a clear contrast that draws attention.
+- **Typography:** The title "Financial" is bold, facilitating easy recognition. The numerical data has a large, noticeable font, while the accompanying labels are smaller, creating a clear hierarchy of information.
+- **Logo:** The Airbnb logo is present, reinforcing brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- **Funding:** The slide requests $500,000 for initial investments.
+- **Expected Transactions:** A goal of 80,000 trips, indicating a potential to attract substantial customer engagement.
+- **Revenue Projection:** Expected revenue of $2 million over one year, assuming all transactions occur as projected.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- **Clarity:** The message is clear and to the point. The use of concise phrases helps convey the financial needs and projections effectively.
+- **Relevance:** Information is pertinent to potential investors, emphasizing funding, transaction goals, and revenue expectations.
+- **Engagement:** The straightforward presentation invites investor interest while maintaining professional tone.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Contextual Information:** It could enhance clarity by briefly explaining AirBed&Breakfast for audiences unfamiliar with the concept.
+- **Visual Cues:** Utilizing a visual graph or chart to illustrate projected growth could provide a more dynamic presentation of data.
+- **Call to Action:** Adding a stronger call to action beyond just stating the funding requirement (e.g., "Join us in capitalizing on this opportunity") might engage investors more effectively.
+- **Additional Metrics:** Consider adding more qualitative metrics, such as projected customer satisfaction or market growth, to provide a holistic view of potential investment outcomes.
+
+### Data Interpreter
+
+Here's the analysis of slide 18 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Title:** Financial
+- **Objective:** Seeking 12 months of financing.
+- **Goal:** Reach 80,000 transactions on AirBed&Breakfast.
+- **Funding Request:** $500K (Angel Round, initial investment opportunity).
+- **Projected Transactions:** 80K Trips with AirBed&Breakfast, averaging $25.
+- **Projected Revenue:** $2M over 12 months.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is clean and straightforward, emphasizing essential financial figures.
+- **Colors:** A soft background with a red accent for the title, providing a clear contrast that draws attention.
+- **Typography:** The title "Financial" is bold, facilitating easy recognition. The numerical data has a large, noticeable font, while the accompanying labels are smaller, creating a clear hierarchy of information.
+- **Logo:** The Airbnb logo is present, reinforcing brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- **Funding:** The slide requests $500,000 for initial investments.
+- **Expected Transactions:** A goal of 80,000 trips, indicating a potential to attract substantial customer engagement.
+- **Revenue Projection:** Expected revenue of $2 million over one year, assuming all transactions occur as projected.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- **Clarity:** The message is clear and to the point. The use of concise phrases helps convey the financial needs and projections effectively.
+- **Relevance:** Information is pertinent to potential investors, emphasizing funding, transaction goals, and revenue expectations.
+- **Engagement:** The straightforward presentation invites investor interest while maintaining professional tone.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Contextual Information:** It could enhance clarity by briefly explaining AirBed&Breakfast for audiences unfamiliar with the concept.
+- **Visual Cues:** Utilizing a visual graph or chart to illustrate projected growth could provide a more dynamic presentation of data.
+- **Call to Action:** Adding a stronger call to action beyond just stating the funding requirement (e.g., "Join us in capitalizing on this opportunity") might engage investors more effectively.
+- **Additional Metrics:** Consider adding more qualitative metrics, such as projected customer satisfaction or market growth, to provide a holistic view of potential investment outcomes.
+
+### Message Evaluator
+
+Here's the analysis of slide 18 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Title:** Financial
+- **Objective:** Seeking 12 months of financing.
+- **Goal:** Reach 80,000 transactions on AirBed&Breakfast.
+- **Funding Request:** $500K (Angel Round, initial investment opportunity).
+- **Projected Transactions:** 80K Trips with AirBed&Breakfast, averaging $25.
+- **Projected Revenue:** $2M over 12 months.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is clean and straightforward, emphasizing essential financial figures.
+- **Colors:** A soft background with a red accent for the title, providing a clear contrast that draws attention.
+- **Typography:** The title "Financial" is bold, facilitating easy recognition. The numerical data has a large, noticeable font, while the accompanying labels are smaller, creating a clear hierarchy of information.
+- **Logo:** The Airbnb logo is present, reinforcing brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- **Funding:** The slide requests $500,000 for initial investments.
+- **Expected Transactions:** A goal of 80,000 trips, indicating a potential to attract substantial customer engagement.
+- **Revenue Projection:** Expected revenue of $2 million over one year, assuming all transactions occur as projected.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- **Clarity:** The message is clear and to the point. The use of concise phrases helps convey the financial needs and projections effectively.
+- **Relevance:** Information is pertinent to potential investors, emphasizing funding, transaction goals, and revenue expectations.
+- **Engagement:** The straightforward presentation invites investor interest while maintaining professional tone.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Contextual Information:** It could enhance clarity by briefly explaining AirBed&Breakfast for audiences unfamiliar with the concept.
+- **Visual Cues:** Utilizing a visual graph or chart to illustrate projected growth could provide a more dynamic presentation of data.
+- **Call to Action:** Adding a stronger call to action beyond just stating the funding requirement (e.g., "Join us in capitalizing on this opportunity") might engage investors more effectively.
+- **Additional Metrics:** Consider adding more qualitative metrics, such as projected customer satisfaction or market growth, to provide a holistic view of potential investment outcomes.
+
+### Improvement Suggestor
+
+Here's the analysis of slide 18 from five specialized perspectives:
+
+### 1. Content Extractor
+**Key Textual Content:**
+- **Title:** Financial
+- **Objective:** Seeking 12 months of financing.
+- **Goal:** Reach 80,000 transactions on AirBed&Breakfast.
+- **Funding Request:** $500K (Angel Round, initial investment opportunity).
+- **Projected Transactions:** 80K Trips with AirBed&Breakfast, averaging $25.
+- **Projected Revenue:** $2M over 12 months.
+
+### 2. Visual Analyzer
+**Visual Design Elements:**
+- **Layout:** The layout is clean and straightforward, emphasizing essential financial figures.
+- **Colors:** A soft background with a red accent for the title, providing a clear contrast that draws attention.
+- **Typography:** The title "Financial" is bold, facilitating easy recognition. The numerical data has a large, noticeable font, while the accompanying labels are smaller, creating a clear hierarchy of information.
+- **Logo:** The Airbnb logo is present, reinforcing brand recognition.
+
+### 3. Data Interpreter
+**Numerical Data:**
+- **Funding:** The slide requests $500,000 for initial investments.
+- **Expected Transactions:** A goal of 80,000 trips, indicating a potential to attract substantial customer engagement.
+- **Revenue Projection:** Expected revenue of $2 million over one year, assuming all transactions occur as projected.
+
+### 4. Message Evaluator
+**Communication Effectiveness:**
+- **Clarity:** The message is clear and to the point. The use of concise phrases helps convey the financial needs and projections effectively.
+- **Relevance:** Information is pertinent to potential investors, emphasizing funding, transaction goals, and revenue expectations.
+- **Engagement:** The straightforward presentation invites investor interest while maintaining professional tone.
+
+### 5. Improvement Suggestor
+**Specific Improvements:**
+- **Contextual Information:** It could enhance clarity by briefly explaining AirBed&Breakfast for audiences unfamiliar with the concept.
+- **Visual Cues:** Utilizing a visual graph or chart to illustrate projected growth could provide a more dynamic presentation of data.
+- **Call to Action:** Adding a stronger call to action beyond just stating the funding requirement (e.g., "Join us in capitalizing on this opportunity") might engage investors more effectively.
+- **Additional Metrics:** Consider adding more qualitative metrics, such as projected customer satisfaction or market growth, to provide a holistic view of potential investment outcomes.
+
+---
+
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..1346e3a
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,6 @@
+pdf2image
+openai
+requests
+PyMuPDF
+docling
+python-dotenv
diff --git a/start.sh b/start.sh
new file mode 100755
index 0000000..321acc1
--- /dev/null
+++ b/start.sh
@@ -0,0 +1,58 @@
+#!/bin/bash
+
+# Kill any process running on port 3123
+echo "Killing any existing processes on port 3123..."
+fuser -k 3123/tcp 2>/dev/null || true
+
+# Create virtual environment if it doesn't exist
+if [ ! -d "venv" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv venv
+fi
+
+# Activate virtual environment
+echo "Activating virtual environment..."
+source venv/bin/activate
+
+# Verify virtual environment is active
+echo "Verifying virtual environment..."
+which python3
+python3 --version
+
+# Install dependencies
+echo "Installing dependencies..."
+pip install -r requirements.txt
+
+# Check for help flag
+if [ "$1" = "--help" ] || [ "$1" = "-h" ]; then
+    echo ""
+    echo "Pitch Deck Analysis Application"
+    echo "=============================="
+    echo "Usage: ./start.sh <file_path>"
+    echo "Example: ./start.sh presentation.pdf"
+    echo ""
+    echo "The application will automatically upload the generated report."
+    echo ""
+    exit 0
+fi
+
+# Verify file exists
+if [ -z "$1" ]; then
+    echo "Error: No file specified"
+    echo "Usage: ./start.sh <file_path>"
+    exit 1
+fi
+
+if [ ! -f "$1" ]; then
+    echo "Error: File '$1' not found"
+    exit 1
+fi
+
+# Start the application with immediate feedback
+echo "Starting pitch deck parser..."
+echo "Processing file: $1"
+echo "Python path: $(which python3)"
+echo "Working directory: $(pwd)"
+echo "----------------------------------------"
+
+python3 app.py "$1"