AI Cycling Coach
AI-powered personalized cycling training
The Problem
Generic Training Plans
Off-the-shelf training plans ignore individual fitness levels, recovery status, and personal goals. Athletes follow cookie-cutter programs that don't adapt to their actual performance data or daily readiness.
No Power Zone Analysis
Most cyclists train without understanding their power zones, leading to inefficient workouts that either undertrain or overtrain specific energy systems. Without zone-based insights, training stimulus is suboptimal.
Manual Workout Planning
Creating structured workouts with proper intervals, rest periods, and progressive overload requires deep coaching knowledge. Athletes spend hours designing workouts that a coach could prescribe in minutes.
Generic training plans from blogs and YouTube videos
AI-generated workouts personalized to your FTP, TSB, and daily readiness
Manual conversion of workout ideas to Zwift-compatible format
Instant ZWO file export — ride the AI-designed workout immediately on Zwift
Guessing training intensity without objective data analysis
TSB-based intensity filtering ensures optimal training stimulus every session
Approach
Omakase Pattern: Curated AI Selection
Instead of generating workouts from scratch (which risks producing physiologically unsound sessions), the system uses an 'Omakase' pattern — pre-validated workout modules designed by coaching science are stored in a library, and the AI selects and assembles the optimal combination based on your current TSB (Training Stress Balance), FTP, weight, and wellness score. This ensures every workout is both scientifically valid and personally optimized. The output is a Zwift-compatible ZWO file you can ride immediately.
BDD Pipeline Flow
Key Features
AI Workout Generator
Select your training goal and available time, and the AI assembles a structured workout from pre-validated modules. Uses LLM intelligence to match workout intensity to your current fatigue level (TSB) and training phase, outputting a ride-ready ZWO file.
Power Zone Analysis
Automatically calculates and visualizes your 7 power zones based on FTP. Shows time-in-zone distribution across workouts, identifies training gaps, and recommends zone-specific sessions to build a balanced fitness profile.
Training Calendar
Weekly periodization view showing planned vs. completed workouts, TSS (Training Stress Score) targets, and rest day recommendations. Syncs with Intervals.icu for automatic training data import and progress tracking.
Performance Tracking
Long-term performance trends with FTP progression, CTL/ATL/TSB charts, and power curve analysis. Tracks improvements across training blocks and provides data-driven insights for peak performance timing.
Architecture
Results
FTP-based zone calculation for personalized training
Training Stress Balance for daily intensity guidance
Zwift-compatible workout files generated on demand
AI-planned weekly training structure with recovery days