HOW TRAINERROAD USES AI FOR CYCLISTS (Not what you thinkâŚ) | Ask a Cycling Coach Podcast 573
Ask a Cycling Coach Podcast - Presented by TrainerRoad
Group workouts return
Jonathan explains group workouts functionality, how to enable it, and why it was briefly turned off and restored.
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// TOPICS COVERED
(00:00:00) Welcome + Why Weâre Talking About AI in Cycling Training
(00:00:30) Environmental Impact of AI: Water Usage and Perspective
(00:06:15) Where TrainerRoad Uses AI (and Where It Doesnât)
(00:09:30) TrainerRoad AI Results: Fewer Failed Workouts & Early Feedback
(00:14:40) Power Records Chart: A Better Way to Understand Your Workouts
(00:17:30) Why FTP Isnât Driving the Model (and What Actually Is)
(00:31:00) Group Workouts Return + Fatigue Detection Toggles
(00:40:20) Failure Rates, Workout Difficulty, and Why Some Failure Is Good
(00:43:36) Why Your FTP Prediction Changes (and How to Think About It)
(00:53:03) Triathlon Support + Workout Scoring Updates
(01:00:22) Wrap-Up + Leadville Update
In this episode, TrainerRoad CEO Nate Pearson and Coach Jonathan Lee explain how TrainerRoad uses AI in trainingâwhat it does (like improving workout recommendations and predictions) and what it doesnât do (itâs not a chat-style LLM running the whole app). They address environmental impact concerns, clear up common misconceptions around FTP and AI, and share recent updates like the Power Records Chart, group workouts returning, and new controls for fatigue detection and workout scoringâultimately focusing on how these changes help athletes get more consistent, achievable training and better results.
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https://trainerroad.cc/GetFasterâ TrainerRoad is the #1 cycling training app. No other cycling app is more effective. Over 17,000 positive reviews, a 4.9 star App Store rating.
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