Rowing is a full-body endurance sport with unique pacing demands. Your AI coach tracks your watts, split times, and stroke rate alongside recovery data to build smarter training.
The AI tracks your average watts, split times (per 500m), and stroke rate from every rowing session. It monitors trends over time to gauge fitness progression.
Rowing has specific pacing demands - the second half of a 2K test should be slightly faster than the first, for example. The AI analyzes your pacing patterns and suggests strategies for different race distances.
If you row alongside running, cycling, or lifting, the AI manages total training load across all activities. Rowing is a full-body exercise, so it overlaps with both upper and lower body strength work.
WHOOP or Oura data helps the AI decide when to program hard rowing intervals vs. steady-state base work. On low-recovery days, easy rowing can serve as active recovery.
It connects to Strava for your rowing data and optionally WHOOP or Oura for recovery metrics. After each session, it analyzes your power, splits, and stroke rate. It adjusts upcoming training based on your total training load and recovery status.
If your Concept2 data syncs to Strava (which it can through the ErgData app), then yes. The AI gets your watts, split times, and stroke rate from each session.
Yes. It structures your training with a mix of long steady-state rows for base building and shorter high-intensity intervals for power development. It monitors your pace at threshold and adjusts your training as your fitness improves.
Yes. Rowing is low-impact and full-body, making it useful cross-training for runners (aerobic base without pounding), cyclists (adds upper body), and lifters (cardiovascular conditioning). The AI integrates rowing into your overall training plan alongside your primary sport.
Depends on your goals and other training. The AI recommends rowing frequency based on your total training load and recovery capacity. For most mixed-sport athletes, 2-3 rowing sessions per week alongside other training works well.
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