Introduction Large language models (LLMs) hold promise for personalized exercise and health coaching, offering capabilities from adaptive training plan generation to real-time movement feedback and motivational support. Yet translating potential into safe, effective practice requires robust evaluation across multimodal data streams (text reports, posture analysis, sensor data) and personalized outcomes. This scoping review summarizes how…