How the AI Selects and Simulates Workouts

Learn more about TrainerRoad AI: https://www.trainerroad.com/blog/introducing-trainerroad-ai/

Learn more about the updated AI FTP Detection: https://www.trainerroad.com/blog/why-is-ai-ftp-detecting-an-ftp-change/

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// TOPICS COVERED

(00:00:00) Welcome & Why TrainerRoad AI Is a Major Update

(00:02:00) How TrainerRoad AI Has Evolved Over Time

(00:04:00) Why TrainerRoad AI Isn’t Just a Chatbot or LLM

(00:06:30) How TrainerRoad AI Simulates and Selects Workouts

(00:10:30) How TrainerRoad AI Replaces Static Training Plans

(00:15:00) How TrainerRoad AI Reduces Failed Workouts and Burnout

(00:20:40) How TrainerRoad AI Adjusts for Fatigue and Big Rides

(00:32:00) Why Most AI Training Tools Don’t Validate Workouts

(00:36:10) TrainerRoad AI Training Forecasts and Simulations

(00:49:40) TrainerRoad AI Workout Alternatives Explained

(01:03:20) Why Long Rides Can Undermine Progress

(01:17:20) Conservative vs Aggressive Training in TrainerRoad AI

(01:37:30) How TrainerRoad AI Changes How Athletes Get Faster

In this episode, Nate and Coach Jonathan explain all the details behind TrainerRoad AI, the biggest evolution yet in TrainerRoad’s training system, walking through how the new AI-driven approach goes far beyond static plans to dynamically simulate, predict, and personalize every workout on your calendar. They explain how years of performance data, workout feedback, power and heart rate, and progression history now power a system that actively chooses the right workout for the day, reduces burnout, cuts down workouts that are too hard or too easy, and helps athletes recover faster from missed sessions or failures. The conversation dives into how simulations work behind the scenes, why long rides and “hidden fatigue” can quietly sabotage progress, and how features like AI Predicted Difficulty, AI Training Simulation, Dynamic Duration, and Training Approach sliders give athletes confidence that every session is worth their time. The result is training that feels consistently “just right,” adapts to real life, and helps athletes get faster with less wasted effort and fewer mistakes along the way.

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