Comprehensive Feature Brainstorming for AI Cycling App Next Steps

[Copilot]

This PR addresses the request to brainstorm next features for the Dropped AI cycling app by creating comprehensive documentation that analyzes the current state and proposes a strategic roadmap for future development.

What's Added

📋 Main Deliverable: docs/feature-brainstorm.md

A comprehensive analysis featuring:

• 16 prioritized features organized by implementation effort and user value
• 4 main categories: Core AI & Workout Generation, Integration & Data Platform, Platform Expansion, Analytics & Performance Tracking
• User persona alignment (Beginner, Enthusiast, Competitive, Coach)
• 3-phase implementation roadmap with realistic timelines
• Technical considerations including architecture, security, and scalability
• Success metrics for measuring feature impact

🎯 Quick Reference: docs/issue-13-summary.md

Direct response to the issue requirements:

• ✅ Make workout generation 'actually work' with OpenAI APIs
• ✅ Integration with Supabase for auth and data storage
• ✅ Generate workouts in trainer-compatible format (.zwo, .erg, .mrc)
• ✅ Add a web version

Key Insights

Current App Analysis:

• Solid foundation with AI workout framework and SwiftUI interface
• Basic user onboarding and static training plan generation
• Existing workout detail views with power graphs
• Limited by local storage and missing production AI integration

Recommended Phase 1 (3-4 months):

1. Production AI Integration - Secure OpenAI API with fallbacks
2. Supabase Authentication - Cloud storage and cross-device sync
3. Workout Export - .zwo/.erg/.mrc format support for trainer compatibility

High-Impact Features Beyond Requirements:

• Adaptive training plans that adjust based on performance
• Smart workout scheduling with weather awareness
• Advanced performance analytics with FTP tracking
• Recovery & wellness integration

Technical Approach

The brainstorming includes implementation details for priority features:

• Secure API key management through backend proxy
• Database schema for user profiles and workout tracking
• Export service supporting multiple trainer formats
• Authentication service with Supabase integration

Documentation Updates

• Updated docs/memory.md to include new documentation
• Created actionable roadmap with clear success metrics
• Aligned features with cycling domain expertise and modern training trends

This comprehensive analysis provides a strategic foundation for the app's evolution from a simple workout generator to a full-featured AI cycling training platform.

Fixes #13.

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