The line between training hard and overtraining is thin. Your AI coach watches your HRV, sleep, resting heart rate, and performance trends to catch problems before they become injuries or burnout.
The AI calculates your acute-to-chronic workload ratio across all training. When it exceeds safe thresholds, you get a warning and the upcoming sessions are adjusted to bring it back into the optimal 0.8-1.3 range.
Trends in HRV, resting heart rate, sleep efficiency, and performance are analyzed daily. The AI can detect overtraining patterns 1-2 weeks before you'd typically notice symptoms yourself.
Deloads are triggered by your actual recovery data. You train hard when your body can handle it and back off when it needs rest. No wasted deload weeks when you're feeling great.
The AI separates productive training fatigue from harmful overreaching. If performance is dropping despite adequate sleep and recovery time, it identifies potential causes: too much volume, too much intensity, or inadequate nutrition.
It monitors training load from Strava and Hevy alongside recovery biomarkers from WHOOP and Oura. It tracks the acute-to-chronic workload ratio, watches HRV and resting heart rate trends, and catches performance declines early. When warning signs appear, it adjusts your plan automatically.
Declining HRV baseline, elevated resting heart rate, reduced sleep quality, performance plateaus, and increased perceived exertion at the same intensity. It catches these patterns 1-2 weeks before you'd normally notice symptoms.
HRV and resting heart rate from WHOOP or Oura are the most important inputs, plus training volume and intensity from Strava and Hevy. Sleep data and body weight add context. More data sources connected means earlier and more accurate detection.
Random rest days don't address the underlying training load patterns that cause overtraining. The AI uses your data to precisely time recovery based on your physiological state. It might recommend an easy week, a single rest day, or just reduced intensity, depending on what the data shows.
Yes. By optimizing recovery timing and training distribution, the AI often lets athletes handle more total volume than they thought possible. The key is progressive loading with recovery timed by data, not guesswork.
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