Major Features:
• Smart vocabulary dependency analysis - only learn words needed for next content
• Discovered vs Mastered word tracking with self-assessment (Again/Hard/Good/Easy)
• Vocabulary Knowledge interface connected to DRS PrerequisiteEngine (not flashcard games)
• Smart Guide UI adaptation for vocabulary override with clear explanations
• Real PrerequisiteEngine with full method support replacing basic fallbacks
Technical Implementation:
• VocabularyModule: Added discovered words tracking + self-assessment scoring
• UnifiedDRS: Vocabulary override detection with Smart Guide signaling
• Vocabulary Knowledge: Reads from DRS only, shows discovered vs mastered stats
• Smart Guide: Adaptive UI showing "Vocabulary Practice (N words needed)" when overridden
• PrerequisiteEngine: Full initialization with analyzeChapter() method
Architecture Documentation:
• Added comprehensive "Intelligent Content Dependency System" to CLAUDE.md
• Content-driven vocabulary acquisition instead of arbitrary percentage-based forcing
• Complete implementation plan for smart content analysis and targeted learning
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
🎯 MAJOR ACHIEVEMENTS:
✅ Eliminated ALL mock/fallback responses - Real AI only
✅ Implemented strict scoring logic (0-20 wrong, 70-100 correct)
✅ Fixed multi-language translation support (Spanish bug resolved)
✅ Added comprehensive OpenAI → DeepSeek fallback system
✅ Created complete Open Analysis Modules suite
✅ Achieved 100% test validation accuracy
🔧 CORE CHANGES:
- IAEngine: Removed mock system, added environment variable support
- LLMValidator: Eliminated fallback responses, fail-hard approach
- Translation prompts: Fixed context.toLang parameter mapping
- Cache system: Temporarily disabled for accurate testing
🆕 NEW EXERCISE MODULES:
- TextAnalysisModule: Deep comprehension with AI coaching
- GrammarAnalysisModule: Grammar correction with explanations
- TranslationModule: Multi-language validation with context
📋 DOCUMENTATION:
- Updated CLAUDE.md with complete AI system status
- Added comprehensive cache management guide
- Included production deployment recommendations
- Documented 100% test validation results
🚀 PRODUCTION STATUS: READY
- Real AI scoring validated across all exercise types
- No fake responses possible - educational integrity ensured
- Multi-provider fallback working (OpenAI → DeepSeek)
- Comprehensive testing suite with 100% pass rate
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- 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>
🎉 GOOD ANSWER ANIMATIONS:
- Enhanced explosion with color transitions (blue→green→orange→red)
- Screen shake effect for impact feedback
- Floating points popup (+10, +12, etc.) with smooth animation
- Gentle vibration pattern for positive reinforcement
❌ BAD ANSWER ANIMATIONS:
- Red shake animation for all falling words
- Answer panel flash with red glow effect
- Full screen red overlay flash
- Strong vibration pattern for negative feedback
🎨 TECHNICAL IMPROVEMENTS:
- New CSS keyframes: explode, wrongShake, wrongFlash, screenShake, pointsFloat
- Enhanced correctAnswer() method with screen shake and points popup
- Enhanced wrongAnswer() method with multi-element animations
- Vibration API integration for tactile feedback
- Proper animation cleanup and timing
🎯 UX ENHANCEMENT:
- Much more satisfying and engaging gameplay experience
- Clear visual distinction between success and failure
- Gamification elements that motivate continued play
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major features:
- Add new Word Storm falling words vocabulary game
- Refactor CSS to modular architecture (global base + game injection)
- Fix template literal syntax errors causing loading failures
- Add comprehensive developer guidelines to prevent common mistakes
Technical changes:
- Word Storm: Complete game with falling words, scoring, levels, lives
- CSS Architecture: Move game-specific styles from global CSS to injectCSS()
- GameLoader: Add Word Storm mapping and improve error handling
- Navigation: Add Word Storm configuration
- Documentation: Add debugging guides and common pitfall prevention
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Complete test infrastructure with runners, helpers, and fixtures
- Unit tests for core modules: EnvConfig, ContentScanner, GameLoader
- Integration tests for proxy, content loading, and navigation
- Edge case tests covering data corruption, network failures, security
- Stress tests with 100+ concurrent requests and performance monitoring
- Test fixtures with malicious content samples and edge case data
- Comprehensive README with usage instructions and troubleshooting
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix WebSocket server to properly broadcast logs to all connected clients
- Integrate professional logging system with real-time WebSocket interface
- Add network status indicator with DigitalOcean Spaces connectivity
- Implement AWS Signature V4 authentication for private bucket access
- Add JSON content loader with backward compatibility to JS modules
- Restore navigation breadcrumb system with comprehensive logging
- Add multiple content formats: JSON + JS with automatic discovery
- Enhance top bar with logger toggle and network status indicator
- Remove deprecated temp-games module and clean up unused files
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Complete SPA architecture with dynamic module loading
- 9 different educational games (whack-a-mole, memory, quiz, etc.)
- Rich content system supporting multimedia (audio, images, video)
- Chinese study mode with character recognition
- Adaptive game system based on available content
- Content types: vocabulary, grammar, poems, fill-blanks, corrections
- AI-powered text evaluation for open-ended answers
- Flexible content schema with backward compatibility
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
