📅 Daily Log — January 7, 2026

🧠 Context / Focus for Today

Major schema refactor to improve type safety and platform sync state management. Enhance AI coach with training history integration and events feature. Improve chat UI with context-aware progress phases. Add normalized description field for better workout matching.

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✔️ Things I Got Done Today

Workout Schema v2 Refactor (4 Phases)

Phase 1 - Type Safety Layer

• Added Zod schema validation for structured workouts:
  • Created lib/training/structured-workout-schema.ts with comprehensive schemas
  • Integrated Zod validation into ingestion pipeline and AI normalizer
  • Updated components/types.ts with RuntimeStructuredWorkout type
  • Improved type safety and runtime validation across the application

Phase 2 - Platform Sync State Table

• Created unified platform_sync_state table for platform tracking:
  • Supports Garmin, Strava, Wahoo, Google Calendar platforms
  • Migrated Garmin export/schedule routes to use new table
  • Migrated Google Calendar sync to use new table
  • Included data migration from legacy fields
  • Centralized platform sync state management

Phase 3 - Event-Workout Link

• Added event-workout linking capability:
  • Added event_id and workout_category columns to workouts table
  • Enabled linking workouts to races/goals for training plans
  • Updated AI tools and system prompt for event-aware planning
  • Added workout categories: training, race, recovery, test
  • Improved training plan context and event awareness

Phase 4 - Consolidate Matching Logic

• Updated workout matching to use new platform sync state:
  • Updated workout-matcher to use platform_sync_state table
  • Removed legacy garmin_* fields from queries
  • Added deprecation comments to legacy fields via migration
  • training_history remains single source for activity links
  • Cleaner, more maintainable matching logic

Events Feature for Races and Training Goals

Database Schema

• Created events table with full CRUD API (/api/events):
  • Support for race types (marathon, 5K, triathlon, etc.)
  • Priority levels (A/B/C races)
  • Target time, distance, location, and description fields
  • Database migration with RLS policies

UI Components

• Created EventCard component with priority-based styling:
  • Visual distinction for A/B/C priority races
  • Integrated into calendar views (MonthGrid and DayColumn)
• Created AddEventModal for creating/editing events:
  • Full event creation and editing interface
  • Support for all event fields and metadata
• Created EventDetailModal for viewing event details:
  • Countdown timer to event date
  • Full event information display
  • Improved event visibility and planning

AI Coach Integration

• Events context injected into AI coach system prompt:
  • AI coach can reference upcoming races and goals
  • Event-aware training plan generation
  • Improved context for workout recommendations
• Fixed coach route to use service role key for server-side data access

Training History Builder Integration

API Endpoint

• Created GET /api/training/history endpoint:
  • Fetches aggregated training history from all sources
  • Supports Garmin, Strava, TrainingPeaks, Wahoo, Manual sources
  • Returns 90-day activity history with weekly summaries

AI Coach Context

• Integrated training history into AI coach system prompt:
  • AI coach now has access to 90-day activity history
  • Weekly volume summaries by sport
  • Pace/power trends (improving/stable/declining)
  • Fitness metrics (VO2max, fitness age, resting HR)
  • Context footer showing missing data (dev mode: full debug info, prod mode: user-friendly tips)

Testing

• Added 29 unit tests for training history builder:
  • Activity aggregation logic
  • Source integration
  • Recovery metrics
  • Profile data handling

Normalized Description Field

Field Addition

• Added normalizedDescription field to StructuredWorkout type:
  • Generated during normalization pipeline
  • Trims whitespace and removes control characters
  • Limits to 500 characters
  • Set on structured_data for AI-generated workouts

Testing

• Added 6 unit tests covering normalization edge cases:
  • Whitespace handling
  • Control character removal
  • Length limits
  • Edge case validation

AI Chat UI Enhancements

Animated Progress Phases

• Replaced static "Thinking..." with context-aware rotating phases:
  • Detects intent (plan/edit/coach) to show relevant messages
  • Plan: "Analyzing your goals" → "Building training structure" → etc.
  • Edit: "Analyzing request" → "Finding workouts" → "Making changes"
  • Coach: "Thinking" → "Analyzing" → "Preparing response"
  • Phases cycle every 2 seconds with ThinkingLogo animation
  • Auto-scroll to bottom when sending messages in chat
  • More engaging and informative user experience

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🚧 In Progress

• Workout Schema v2 refactor (all 4 phases complete, legacy field cleanup ongoing)
• Events feature (core functionality complete, additional event types and integrations planned)
• Training history integration (core integration complete, additional metrics and insights planned)
• AI chat UI (progress phases complete, additional enhancements planned)

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🎯 Targets for Tomorrow

1. Complete legacy field cleanup — remove deprecated fields and update all references
2. Enhance events feature — add more event types and calendar integrations
3. Expand training history insights — add more metrics and trend analysis
4. Continue AI chat improvements — add more context-aware features and polish

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🤔 Notes / Observations

• Schema v2 refactor provides much better type safety and maintainability
• Platform sync state table centralizes sync management across all platforms
• Event-workout linking enables event-aware training plans
• Training history integration gives AI coach much better context for recommendations
• Normalized description field improves workout matching and deduplication
• Context-aware progress phases make AI chat more engaging and informative
• All changes maintain backward compatibility and include proper migrations
• Strong focus on type safety and data integrity throughout

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📈 Momentum Score: 9.5 / 10

Exceptional day with major architectural improvements. Schema v2 refactor significantly improves type safety and maintainability. Events feature enables event-aware training plans. Training history integration gives AI coach much better context. Chat UI enhancements improve user experience. Strong progress on foundational improvements that will enable future features. Platform architecture continues to mature and scale.