AI-Training uses your fitness, fatigue, recovery, injury and feedback data to adjust your training. The more realistic and consistent your data is, the more relevant the adaptations become.
AI-Training automatically adjusts volume, intensity, frequency and the type of session according to your data.
The more realistic and up-to-date your information is, the more closely your training plan and adaptations can reflect your actual condition.
Age, weight, available equipment, goals, weekly sessions per sport and preferred training time slots.
Enter this information at the beginning and update it when something changes.Training load, repetitions, intensity and session difficulty.
Complete this after each training session.Fitness, stress, sleep and, when available, HRV measurements.
Enter this information before your session.Sensations, perceived fitness, pain and possible injuries after your workout.
Enter this information immediately after your session.The goal is not to find a perfect number, but to use consistent reference points from one day to the next.
your level, gender, menstrual cycle, weather, availability, recovery and the injury locations you enter.
Keep your reference points consistent from one day to the next. A score around 6–7 can represent an average day if you use it consistently.
Enter your data after each training session.
Correct incorrect values as soon as possible.
Report injuries to help avoid inappropriate sessions.
Be specific about the location of pain or injury.
The session may be maintained with an adjustment to intensity or the type of effort.
Running may be replaced by another sport or by rest.
A lighter session or recovery may be preferred.
Movements that place significant stress on the affected area may be avoided.
Training may maintain or slightly increase its intensity.
You can add it later. If no session data is recorded, AI-Training simply does not have that workout available for its analysis.
Yes. It is better to correct inaccurate data so that future analyses and adaptations rely on consistent information.
You can enter a reasonable estimate and update the information later when you know it more accurately.
Return to AI-Training and let your data guide your next training adaptations.