Arvo - AI Personal Trainer

Users can ask Arvo for workout recommendations, request modifications to planned sessions based on how they're feeling, or ask questions about exercise technique and training principles, receiving responses calibrated to their specific fitness context.

The training programs Arvo generates are built on exercise science principles progressive overload, periodization, recovery management and adapted to each user's goals, available equipment, training history, and schedule.

Completed sessions and performance data feed back into the model, enabling the AI to refine programming continuously based on how the user is actually responding rather than making assumptions from static profile data.

Arvo is designed for fitness enthusiasts who appreciate the depth and personalization of coached training but prefer the flexibility and privacy of self-directed training on their own schedule.

The conversational interface makes it easy to ask questions and explore training concepts, giving users a more educational and interactive experience than standard workout tracking apps building the fitness knowledge alongside the fitness itself.

The coaching draws on three named hypertrophy protocols Kuba, Mentzer high-intensity training, and FST-7 and switches between them based on the user's goal, training age, and recovery state.

Kuba and Mentzer-style programming emphasizes low-volume, high-effort sets taken close to failure, producing strength and muscle gains in shorter sessions for users with limited time.