Build Interactive AI-powered Documentation for Murphy #181
Description
🧩 Context
Traditional static docs are fine for reading, but fall short when it comes to deep learning. Instead, we want to embed AI into the documentation to enable learner engagement via interactive Q&A, exercises, live code snippets, etc.—similar to Mindgrasp’s AI flashcards and quizzes , or interactive tutorial systems found in Algolia’s Programmatic Docs.
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🎯 Goal
Build AI-enabled interactive documentation within Murphy that allows learners to:
• Perform on-the-spot Q&A based on the documentation content
• Edit and execute code examples (e.g., Rust or TypeScript) directly in the doc
• Review concepts via flashcards or short quizzes to reinforce learning
• Receive contextual guidance in their language for a smooth learn-as-you-go experience
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📌 Scope & Features
1. Integrate AI Q&A Widget
• Chatbot powered by LLM that understands the doc content and answers questions
• Inspired by interactive documentation experiences like Mindgrasp 
2. Embed Live Code Blocks
• Allow users to run, modify, and view code output directly—using tools like StackBlitz or CodeSandbox ()
• Supports Rust and TypeScript snippets
3. Add Flashcards & Quiz Widgets
• Use H5P-style interactive flashcards or Perusall-style annotations 
• Reinforce understanding at the end of each section
4. Multilingual Support
• AI chat and translations available in multiple languages for non-English speakers
• Context-aware explanations to support global learner base
5. Documentation Maintenance & AI Training
• Build a dashboard to track usage metrics: Q&A activity, quiz completions, code runs
• Use interaction data to improve AI responses over time
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✅ Deliverables
• A working interactive template containing:
• Integrated Q&A chat widget
• Live code snippet example
• A set of demo flashcards/quiz
• Documentation on how to use and embed widgets into docs
• Example integration of interactive features into one Solana tutorial module
• A dashboard showing user interaction statistics
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💬 Notes
• We could utilize existing solutions like H5P for interactivity, Perusall for annotation marking, or build custom AI widgets similar to Mindgrasp    
• Ensure the AI Q&A system is contextually aware to provide precise answers
• Live code execution empowers learners to experiment and internalize concepts quickly