Recent LLM-driven personal-health agents mainly handle short-term, retrieval-based lookups and do not evaluate whether agents can reason over long-term signals

Recent LLM-driven personal-health agents enable natural language queries over wearable signals, but mainly handle short-term, retrieval-based lookups (e.g., highest step count over a week). They do not evaluate whether agents can reason over long-term signals to predict wellbeing scores paired with evidence-grounded rationales.

http://arxiv.org/abs/2608.27219v1