Adaptive AI Trainer
OUTCOME
Transformed the app into an AI-driven coaching journey that reduced cognitive load through real-time guidance.
FEATURES
AI Guided Onboarding, Adaptive AI Logging, Habit-Forming Progression Loops
Problem
Traditional fitness apps rely on static menus and manual logging, creating friction during workouts and making it difficult for users to know what to do next. This led to low activation, inconsistent usage, and a lack of personalized guidance or emotional support.
Solution
I designed a conversational AI Coach that replaces rigid navigation with real-time, context-aware guidance. Instead of navigating menus, users interact with the coach to log actions, ask questions, and receive adaptive support, reducing cognitive load and creating a more intuitive, guided experience.
Product
The LunaFit AI Coach is a persistent, in-app assistant that functions as the primary interface layer, guiding users across onboarding, workouts, and progress tracking through conversational and voice-driven interactions.
Key Features
- Conversational onboarding that adapts questions based on user input
- Voice-first interaction for logging and guidance
- Context-aware responses that surface relevant actions in real time
- A floating assistant that remains accessible across the app
- A motion-driven, state-based system in Rive that enables the coach to feel responsive, human, and continuously present.