AI Endurance - Running, Cycling, Triathlon-AI-driven training for endurance athletes

Example

A runner training for a marathon receives a customized plan that adjusts intensity and volume based on their recent workouts, HRV data, and recovery status.

Scenario

After completing a particularly strenuous long run, the platform detects signs of fatigue in the runner's data. The next scheduled session is then modified to a lighter recovery run, helping to prevent overtraining and promote recovery.

Example

A cyclist notices that their heart rate is higher than usual during a routine ride. AI Endurance adjusts the workout intensity in real-time, suggesting a lower power output to stay within the target aerobic zone.

Scenario

During a training session, AI Endurance detects that the cyclist's heart rate has remained elevated, a potential sign of insufficient recovery. The system immediately recommends adjusting the day's workout from high-intensity intervals to a steady-state ride, ensuring the cyclist does not push beyond their current recovery capacity.

Example

A triathlete reviews their performance metrics post-race, including pace, power output, and HRV trends over the race period. AI Endurance provides insights into areas of improvement, such as pacing strategies or recovery practices.

Scenario

Following a triathlon event, AI Endurance analyzes the athlete's split times, heart rate zones, and power output across the swim, bike, and run segments. It identifies that the athlete started the bike segment too aggressively, leading to fatigue in the run. The platform then suggests adjustments to future training and race pacing strategies.