AI Web FeedsAIWebFeeds

Getting Started

AI Web Feeds Documentation - Your comprehensive guide to PDF export and AI/LLM integration

Welcome to the AI Web Feeds documentation! This site includes powerful features for both human readers and AI agents.

🚀 Quick Start

Get up and running in minutes:

✨ Key Features

📄 PDF Export

  • Automatic page discovery - Export all documentation pages
  • Clean output - Navigation and UI elements hidden
  • Interactive content - Accordions and tabs expanded
  • Batch processing - Concurrent exports with rate limiting

🤖 AI & LLM Integration

  • Discovery endpoint - /llms.txt for AI agent discovery
  • Full documentation - /llms-full.txt with structured format
  • Markdown extensions - .mdx and .md for any page
  • Content negotiation - Automatic markdown for AI agents
  • Page actions - Copy markdown and AI tool integration

📡 RSS Feeds

  • Multiple formats - RSS 2.0, Atom 1.0, and JSON Feed
  • Auto-discovery - Feeds discoverable via metadata
  • Sitewide & docs feeds - Subscribe to all or just docs
  • Hourly updates - Fresh content with smart caching
  • Automatic scanning - Validates all documentation links
  • Anchor checking - Verifies headings and sections exist
  • Component links - Checks links in MDX components
  • CI/CD integration - Fail builds on broken links

🔍 SEO & Metadata

  • Dynamic OG images - Custom images for every page
  • Rich metadata - Complete SEO tags and structured data
  • Social sharing - Optimized for Twitter, LinkedIn, Slack
  • AI crawlers - Special rules for GPTBot, ClaudeBot, etc.

📊 Mermaid Diagrams

  • Multiple diagram types - Flowcharts, sequences, classes, ER diagrams
  • Theme-aware - Automatically adapts to light/dark mode
  • Interactive - Clickable elements and tooltips
  • Simple syntax - Markdown-like diagram definition

🧮 Math Equations

  • KaTeX rendering - Fast, beautiful mathematical notation
  • Inline & block - Support for both inline x2x^2 and display equations
  • LaTeX syntax - Familiar TeX/LaTeX commands
  • Self-contained - No external dependencies or fonts

🎯 Built With

📚 Documentation Sections

Features

Detailed guides for each major feature:

Guides

Practical how-to guides:

🎨 Philosophy

This documentation is designed to be:

  • User-friendly - Clear, concise, and well-organized
  • Developer-friendly - Code examples and technical details
  • AI-friendly - Structured formats and multiple access patterns
  • Performance-optimized - Static generation and smart caching

🤝 Contributing

We welcome contributions! See our Contributing Guide for details.

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.