Real biometric data from HealthKit & Strava, analyzed with peer-reviewed sports science, and an AI coach that understands your training history, recovery state, and goals.
Performance Analytics
Monitor your FTP evolution, weekly Training Stress Score, HRV variability, VO2max, weight, BMI, and watts per kilo — all in one place. Each metric includes a sparkline trend and full history with manual entry support.
The Performance Management Chart tracks your Chronic Training Load (fitness, 42-day average), Acute Training Load (fatigue, 7-day average), and Training Stress Balance (form = CTL − ATL) using the Banister impulse-response model.
Recovery & Readiness
The Readiness Score (0–100) combines four science-backed factors to tell you whether to push hard, go easy, or rest. No guesswork — just data.
Based on Manresa-Rocamora et al. (2021) meta-analysis and Plews et al. (2013) rMSSD research for autonomic recovery monitoring.
Activities & Power
Activities from HealthKit and Strava are merged and deduplicated automatically. Each ride shows Normalized Power, Intensity Factor, TSS, Variability Index, and 7-zone power distribution based on Coggan & Allen methodology.
Tap any activity for a full breakdown: power zones, heart rate zones, and an AI-powered analysis that explains the physiological benefits of the session, identifies strengths, and suggests improvements — all personalized to your FTP and fitness level at the time of the ride.
AI Coach
Chat with Claude AI (via AWS Bedrock) that has persistent context of your profile, biometric data, training load, recovery state, and the last 45 days of activities. Ask anything — from "should I train hard today?" to "analyze my nutrition after yesterday's ride."
Recommendations grounded in Nature 2025 individualized vmHRV protocols and Frontiers in Nutrition 2025 post-exercise nutrition meta-analysis.
AI Training Plans
Tell Claude your goal, available days, and timeline. The AI generates a complete periodized plan with structured workouts, target TSS, power zones, and post-workout nutrition — all based on your current fitness, recovery state, and training history.
Structured Workouts
Tap any session in your plan and the AI generates a complete structured workout with exact power targets, heart rate zones, and timing — the same quality you'd get from a professional coach, personalized to your FTP and fitness level.
Each workout includes a visual intensity chart showing the full session at a glance: green blocks for warmup and recovery, orange for tempo, red for threshold intervals. Below, every block is detailed with watts, heart rate, duration, and zone — ready to follow on your bike computer.
Integrations
Connect your devices and platforms for a complete picture of your training and recovery.
Connected
Connected
Coming Soon
AI Engine
Evidence-Based
Every algorithm and recommendation is backed by published, peer-reviewed research.
Coggan & Allen (2003) — NP, IF, TSS as validated metrics for cycling training. Banister (1975) — CTL/ATL/TSB impulse-response model with 42-day and 7-day time constants.
Manresa-Rocamora et al. (2021) — Meta-analysis confirming HRV-guided training improves aerobic performance. Plews et al. (2013) — rMSSD as primary recovery metric.
PMC9517884 (2022) — Recovery requires more time with age; load management is critical. Nature 2025 — Individualized vmHRV protocols improve cycling performance.
Frontiers in Nutrition (2025) — CHO+protein within 30 min post-exercise significantly improves recovery. 1.2g CHO/kg/h for optimal glycogen replenishment.
Roadmap
Continuous improvement driven by real athlete needs.
Heart rate, HRV, sleep, workouts, power data, and activity streams.
NP, IF, TSS, CTL/ATL/TSB, power zones, HR zones, PMC chart.
HRV trends, sleep analysis, resting HR, multi-factor readiness assessment.
Claude via AWS Bedrock with full user profile, training history, and image analysis.
Health API (HRV nocturno, Body Battery, Stress), Activity API (FIT files), Training API.
Personalized periodized plans, compliance tracking, dynamic adjustments, nutrition guidance.
Push AI-generated workouts directly to Edge/Fenix/Forerunner via Training API.
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TrainingSelf combines your biometric data with sports science and AI to help you perform at your best — and recover like a pro.
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