- Add AIReportSystem.js for detailed AI response capture and report generation
- Add AIReportInterface.js UI component for report access and export
- Integrate AI reporting into LLMValidator and SmartPreviewOrchestrator
- Add missing modules to Application.js configuration (unifiedDRS, smartPreviewOrchestrator)
- Create missing content/chapters/sbs.json for book metadata
- Enhance Application.js with debug logging for module loading
- Add multi-format export capabilities (text, HTML, JSON)
- Implement automatic learning insights extraction from AI feedback
- Add session management and performance tracking for AI reports
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major Changes:
- Moved legacy system to Legacy/ folder for archival
- Built new modular architecture with strict separation of concerns
- Created core system: Module, EventBus, ModuleLoader, Router
- Added Application bootstrap with auto-start functionality
- Implemented development server with ES6 modules support
- Created comprehensive documentation and project context
- Converted SBS-7-8 content to JSON format
- Copied all legacy games and content to new structure
New Architecture Features:
- Sealed modules with WeakMap private data
- Strict dependency injection system
- Event-driven communication only
- Inviolable responsibility patterns
- Auto-initialization without commands
- Component-based UI foundation ready
Technical Stack:
- Vanilla JS/HTML/CSS only
- ES6 modules with proper imports/exports
- HTTP development server (no file:// protocol)
- Modular CSS with component scoping
- Comprehensive error handling and debugging
Ready for Phase 2: Converting legacy modules to new architecture
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
