Challenge
Cycling data is often scattered between activities, maps and notes. The goal was to create an assistant that helps think about training practically: what worked, what to adjust and how to plan the next ride.
Solution
The application connects AI evaluation with map context. Users work with training goals, routes and recommendations that are not detached from real terrain and load planning.
Outcome
- Faster orientation in training goals and recommendations.
- A more natural connection between AI answers and map planning.
- Room for further development toward personalized plans.
