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AWS TFR Master Documentation Plan

🎯 Project Goals​

This document tracks our comprehensive documentation effort that accomplishes three major objectives:

  1. AWS Technical Foundational Review (TFR) - Answer 18 questions for AWS
  2. User-Facing Features Documentation - Build comprehensive features docs
  3. Website Copy Updates - Update b4m-web with accurate feature descriptions

📋 AWS TFR Questions Checklist​

Questions to Answer​

  • SEC1: Control Objectives & Controls - COMPLETED ✅
    • Focused on actual business priorities: Data Protection & Access Control
    • Leveraged existing robust CI/CD security pipeline
    • Mapped to SOC 2 compliance requirements
    • Excluded non-relevant AI security concerns (no free tier abuse)
    • Created streamlined validation framework with automation
  • Question 2: [Add your second question here]
  • Question 3: [Add your third question here]
  • Question 4: [Add your fourth question here]
  • Question 5: [Add your fifth question here]
  • Question 6: [Add your sixth question here]
  • Question 7: [Add your seventh question here]
  • Question 8: [Add your eighth question here]
  • Question 9: [Add your ninth question here]
  • Question 10: [Add your tenth question here]
  • Question 11: [Add your eleventh question here]
  • Question 12: [Add your twelfth question here]
  • Question 13: [Add your thirteenth question here]
  • Question 14: [Add your fourteenth question here]
  • Question 15: [Add your fifteenth question here]
  • Question 16: [Add your sixteenth question here]
  • Question 17: [Add your seventeenth question here]
  • Question 18: [Add your eighteenth question here]

🚀 Features Documentation Structure​

✅ Completed Documentation​

  • Features Overview (features/overview.md)

    • Comprehensive catalog of all features
    • Organized by category
    • Use cases and future roadmap

  • AI Models & Language Support (features/ai-models.md)

    • All supported text and image models
    • Configuration options and best practices
    • Cost optimization strategies

  • Quest Master System (features/quest-master.md)

    • Autonomous task planning and execution
    • Task types and visual progress tracking
    • Advanced features and best practices

  • Mementos (Memory System) (features/mementos.md)

    • Intelligent memory management
    • Memory tiers and automatic recall
    • Privacy and security features

Core Features to Document​

  • AI Agents & Advanced Quest Features

    • Agent personalities and capabilities
    • Agent detection (@help)
    • Voice agents (coming soon)

  • Document Processing

    • File upload and management
    • Smart chunking and vectorization
    • Semantic search
    • Mementos (knowledge base)

  • Real-time Collaboration

    • WebSocket features
    • Live updates
    • Multi-user support

  • AI-Powered Features

    • Text generation
    • Image generation/editing
    • Voice agents
    • Summarization
    • Tagging

  • Project Management

    • Projects overview
    • Sharing and permissions
    • Organization features

  • Integration Capabilities

    • API access
    • Webhooks
    • Third-party integrations

Documentation Sections to Create​

  1. Getting Started

    • Quick start guide
    • First quest
    • Basic concepts

  2. Features

    • Detailed feature documentation
    • Use cases
    • Best practices

  3. Tutorials

    • Step-by-step guides
    • Video walkthroughs
    • Common workflows

  4. API Reference

    • Public API documentation
    • SDK guides
    • Code examples

🌐 Website Update Plan​

Pages to Update/Create​

  • Homepage

    • Hero section with clear value prop
    • Feature highlights
    • Customer testimonials

  • Features Page

    • AI Agents section
    • Document Processing section
    • Collaboration section
    • Integration section

  • Use Cases

    • Research & Analysis
    • Content Creation
    • Knowledge Management
    • Team Collaboration

  • Pricing

    • Clear tier descriptions
    • Feature comparison
    • FAQ

  • About

    • Company story
    • Team
    • Mission & Vision

📊 Progress Tracking​

Phase 1: Discovery & Planning ✅​

  • Review existing documentation
  • Map current features from code
  • Identify gaps in documentation
  • Prioritize AWS TFR questions (need your 18 questions)

Phase 2: Core Documentation​

  • Answer AWS TFR questions
  • Create feature documentation
  • Update website copy
  • Add code examples

Phase 3: Enhancement​

  • Add tutorials and guides
  • Create video content
  • Build interactive demos
  • Set up automated updates

🤖 Future Automation Vision​

Agent-Driven Documentation​

  • Automatic changelog generation from PRs
  • Feature announcement drafts
  • Documentation updates from code changes
  • Website copy suggestions

Implementation Ideas​

  1. PR Analysis Agent

    • Reads PR descriptions and code changes
    • Generates documentation updates
    • Creates "What's New" entries

  2. Feature Discovery Agent

    • Monitors code changes
    • Identifies new capabilities
    • Suggests documentation updates

  3. Website Copy Agent

    • Analyzes feature updates
    • Generates marketing copy
    • A/B testing suggestions

📝 Working Notes​

Current Understanding (Updated)​

  • Platform: AI-powered knowledge management with advanced chat capabilities
  • Core Features Discovered:
    • Multi-model support (OpenAI, Anthropic, Google, Open models, XAI)
    • Quest Master for autonomous task planning
    • Mementos intelligent memory system
    • Projects for team collaboration
    • Organizations with shared credits
    • Advanced document processing with multiple formats
    • Real-time streaming and WebSocket support
    • AI Tools: Web search, image gen, math, weather, charts
    • MCP (Model Context Protocol) integration
  • Key Differentiators:
    • Parallel task execution with Quest Master
    • Automatic memory management with tiered storage
    • Unified interface for multiple AI providers
    • Project-based knowledge organization
  • Technical Strengths:
    • Serverless architecture with AWS/SST
    • Progressive loading for fast TTFVT
    • Smart caching and optimization
    • Comprehensive security features

Questions to Explore​

  1. What are the most compelling use cases?
  2. Who are the target customers?
  3. What makes Bike4Mind unique vs competitors?
  4. How do we best explain the Quest concept?
  5. What are the key integration points?

This is a living document. Update as we progress through the documentation effort.