# TrainingSelf > Science-based training analytics iOS app with AI coach for cyclists and endurance athletes. Integrates HealthKit, Strava, and Garmin Connect data to generate performance/recovery reports and personalized training plans powered by Claude AI. TrainingSelf is designed for cyclists and endurance athletes (especially masters 40-50) who train with power meters and heart rate monitors. It combines biometric data from multiple sources with peer-reviewed exercise science to provide actionable training recommendations. Key differentiators: - AI coach (Claude) with full context of your biometric data, training history, and recovery status - Science-backed algorithms: TSS/NP/IF (Coggan), CTL/ATL/TSB (Banister), HRV-guided training (Plews et al.) - Multi-source data: Apple HealthKit + Strava + Garmin Connect (Body Battery, nocturnal HRV, stress) - AI-generated periodized training plans with structured workouts and compliance tracking - Readiness Score combining HRV, sleep, resting HR, and training stress balance ## Features - [Performance Management](https://training-self.com/#performance): CTL/ATL/TSB chart (fitness, fatigue, form), Normalized Power, Intensity Factor, Training Stress Score - [AI Training Coach](https://training-self.com/#ai-coach): Personalized recommendations based on real biometric data, training plan generation, structured workouts with zones and intervals - [Recovery Analysis](https://training-self.com/#recovery): Readiness Score (0-100), HRV trends with 7-day moving average and baseline range, Garmin Body Battery integration - [Power Profile](https://training-self.com/#performance): Radar chart showing cyclist strengths (sprint, attack, climb, time trial) - [Training Plans](https://training-self.com/#plans): AI-generated periodized plans with dynamic adjustment based on progress and recovery - [Structured Workouts](https://training-self.com/#workouts): Zone-based intervals with visual intensity chart, nutrition guidance pre/post workout ## Integrations - [Apple HealthKit](https://training-self.com/#integrations): Heart rate, HRV (rMSSD), resting HR, sleep, workouts, calories, weight, VO2max - [Strava](https://training-self.com/#integrations): Activities with power streams, GPS maps, NP/IF/TSS calculation - [Garmin Connect](https://training-self.com/#integrations): Nocturnal HRV, Body Battery, stress score, detailed sleep phases, respiration - [File Import](https://training-self.com/#integrations): GPX, TCX, FIT files from any device ## Scientific Foundation - Coggan & Allen (2003): Normalized Power, Intensity Factor, Training Stress Score - Banister (1975): Performance Management model — CTL (42d), ATL (7d), TSB = CTL - ATL - Plews et al. (2013): rMSSD as primary metric for autonomic recovery monitoring - Manresa-Rocamora et al. (2021, PMC8507742): HRV-guided training improves vagal modulation and performance - Nature (2025, s41598-025-13540-z): Individualized vmHRV + RHR protocols improve cycling performance - Meta-analysis (2025, Frontiers in Nutrition): CHO+protein within 30 min post-exercise optimizes recovery ## Platform Details - iOS app (SwiftUI, iOS 17+) - Free trial: 3 months, 10 AI consultations/day - Privacy-first: data stays on device + encrypted AWS backend, no third-party sharing - Languages: English, Spanish ## Links - [Website (English)](https://training-self.com/) - [Website (Spanish)](https://training-self.com/es.html) - [Privacy Policy](https://training-self.com/privacy.html) - [Terms of Use](https://training-self.com/terms.html) ## Optional - [App Store Listing](https://apps.apple.com/app/trainingself): Download the app (pending publication) - [Contact](mailto:arturo@training-self.com): Developer contact