Mobile App MVPAI Fitness App
AI-powered workout tracking with personalized plans, progress monitoring and adaptive recommendations.
Goal
Validate whether users would trust an app to write their workouts. The client had a hypothesis and no product — they needed something real in users' hands, fast, to test retention before a seed round.
What changed
We stripped the concept from 30+ imagined features down to 5 core screens: onboarding, plan, workout session, progress, profile. The AI recommendation layer shipped as a rules engine first, so it could launch on day 10 and be swapped for a model later without touching the UI.
Outcome
Launched to a closed beta of 60 testers. Day-7 retention landed at 41% — high enough for the client to open a seed round on the back of a working product instead of a deck. The rules-engine call saved roughly three weeks of ML work that would have delayed launch.
Key features
- User Authentication
- Workout Plans
- Progress Charts
- Push Notifications
- AI Recommendations
- Cross-Platform









