AI Policy & Terms Analyzer

This repository contains tools and resources for analyzing companies' policies, terms and conditions, and privacy policies to extract valuable technical information.

🎯 Purpose

Instead of manually reading through lengthy terms and conditions, this tool automatically analyzes policy documents to extract:

• Tech Stack: Technologies, frameworks, and platforms companies use
• Websites & Domains: All referenced URLs and domains
• Repositories: GitHub, GitLab, and other version control mentions
• Third-Party Services: Payment processors, analytics, email services, etc.
• APIs & Integrations: REST APIs, GraphQL, webhooks, and connections
• Bots & Automation: Chatbots, crawlers, and automated systems
• Data Sharing: What data is shared and with whom

🚀 Quick Start

Basic Usage

# Run the interactive analyzer
python policy_analyzer.py

# Run examples to see what it can do
python example_usage.py

Using in Your Code

from policy_analyzer import PolicyAnalyzer

# Create analyzer instance
analyzer = PolicyAnalyzer()

# Analyze a policy document
policy_text = """Your company's policy text here..."""
results = analyzer.analyze(policy_text, "Company Name")

# Get formatted report
print(analyzer.format_report(results))

# Or work with the raw data
print(f"URLs found: {results['urls_found']}")
print(f"Technologies: {results['technologies_detected']}")

# Access Google Cloud specific information
gcp_info = results['google_cloud_info']
print(f"GCP Services: {gcp_info['services']}")
print(f"GCP Programs: {gcp_info['programs']}")
print(f"GCP Certifications: {gcp_info['certifications']}")

Testing Google Cloud Detection

# Run the Google Cloud detection test
python test_google_cloud.py

📋 Features

1. URL & Domain Extraction

Automatically finds all URLs and domain names mentioned in policies.

2. Technology Detection

Identifies mentions of:

• Cloud platforms (AWS, Azure, GCP, etc.)
• Programming languages (Python, JavaScript, Java, etc.)
• Frameworks (React, Django, Express, etc.)
• Databases (MongoDB, PostgreSQL, MySQL, etc.)
• AI/ML tools (OpenAI, ChatGPT, TensorFlow, etc.)

3. Google Cloud Platform Analysis ⭐ NEW

Comprehensive detection of Google Cloud usage:

• GCP Services: Cloud Functions, Cloud Run, BigQuery, Vertex AI, Cloud SQL, etc.
• Developer Programs: Google Cloud Developer and Innovator program references
• Certifications: Google Cloud Certified professionals and credentials
• Complete Coverage: 30+ Google Cloud services and programs tracked

4. Service Integration Discovery

Detects third-party services like:

• Payment processors (Stripe, PayPal)
• Communication tools (Twilio, SendGrid)
• Analytics platforms (Google Analytics, Mixpanel)
• Support systems (Zendesk, Intercom)

5. Bot & Automation Detection

Specifically identifies chatbots, automated systems, crawlers, and AI assistants.

6. Data Sharing Analysis

Extracts information about how and with whom companies share data.

7. Multiple Output Formats

• Human-readable formatted reports
• JSON for programmatic processing
• Batch analysis for multiple companies

💡 Use Cases

1. Quick Research: Analyze policies while browsing to understand tech stack
2. Competitive Analysis: Compare technologies used by different companies
3. Security Research: Identify third-party integrations and data sharing
4. Tech Discovery: Find new tools and services by analyzing successful companies
5. Dating Site Analysis: Discover bot usage and AI systems on dating platforms
6. Data Collection: Build a database of company tech stacks from public policies

📊 Example Output

================================================================================
POLICY ANALYSIS REPORT: TechCorp Inc.
================================================================================

Document Statistics:
  - Length: 1,234 characters
  - Word Count: 215 words

URLs Found (2):
  - https://techcorp.com/privacy
  - https://api.techcorp.com

Technologies Detected:
  Platforms:
    - aws
    - github
  Ai_Ml:
    - openai
    - chatgpt
  Services:
    - stripe
    - sendgrid
    - google analytics

Third-Party Services (5):
  - Zendesk for customer support
  - Intercom for live chat
  - Twilio for SMS notifications
  ...

🔧 Advanced Usage

Batch Processing Multiple Policies

from policy_analyzer import PolicyAnalyzer
import json

companies = {
    "Company A": "policy text...",
    "Company B": "policy text...",
    "Company C": "policy text..."
}

analyzer = PolicyAnalyzer()
results = {}

for company, policy in companies.items():
    results[company] = analyzer.analyze(policy, company)

# Save all results
with open('all_companies_analysis.json', 'w') as f:
    json.dump(results, f, indent=2)

Custom Technology Keywords

analyzer = PolicyAnalyzer()

# Add custom keywords to detect
analyzer.tech_keywords['custom_category'] = ['keyword1', 'keyword2']

results = analyzer.analyze(policy_text, "Company")

📁 Files in This Repository

• policy_analyzer.py - Main analyzer tool with PolicyAnalyzer class
• example_usage.py - Comprehensive examples showing different use cases
• requirements.txt - Python dependencies (minimal - uses standard library)
• README.md - This documentation file
• AI workshop materials (PDFs) - Learning resources

🎓 Learning Resources

This repository also contains AI learning materials:

• AI Generalist Fellowship materials
• AI Income Workshop workbooks (1-3)
• Road Map and session guides
• YTA Playbook

🤝 Contributing

This tool was created to make policy analysis accessible and automated. Feel free to:

• Add more technology keywords
• Improve detection patterns
• Add new analysis features
• Share your use cases

📝 Tips for Best Results

1. Copy the full policy: Include complete terms/privacy policy for best results
2. Multiple documents: Analyze both terms AND privacy policy for complete picture
3. Save results: Use JSON output to build your own database
4. Compare companies: Run batch analysis to spot patterns and trends
5. Dating sites: Pay special attention to bot and AI mentions

🔍 What You Can Discover

From analyzing company policies, you can learn:

• What cloud infrastructure they use (cost and scale insights)
• Which third-party services they integrate (potential partnerships)
• Their tech stack (what technologies are popular/working)
• Bot and automation usage (especially on dating sites)
• Data sharing practices (privacy and security insights)
• API availability (integration opportunities)

🚦 Getting Started - No Coding Required

1. Open a company's Terms of Service or Privacy Policy webpage
2. Copy all the text (Ctrl+A, Ctrl+C)
3. Run: python policy_analyzer.py
4. Paste the text and press Ctrl+D (Mac/Linux) or Ctrl+Z (Windows)
5. View the analysis results!

📧 Output

Analysis results show you everything the company uses to run their business - all extracted from public legal documents they're required to provide!

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Collect more data from your toilet than someone flipping through the Yellow Pages! 📱