Build an AI health coach from Apple Health data
The author pipes Apple Health data (nutrition, activity, scale, blood pressure, sleep, workouts) into their own server/agent to act as a health coach. ·
Done with a custom-built or unnamed agent
- What they did
- The poster feeds Gemini a weekly manual upload of their personal health data into an ongoing chat that already contains background on them: food logs, steps and activity, smart scale and blood-pressure readings, sleep, workout logs, and supplements. They review the data before uploading to catch bad entries, then use the model for specific recommendations like warm-ups, workouts, cool-downs, joint-specific advice, and a nutrition plan built around foods they actually keep on hand.
- How it went
- They report concrete wins: Gemini flagged very low iodine intake, they switched to iodized salt and felt better within a week, and it reorganized five weekly workouts into a PPL, Tabata, and distance-run split that made recovery easier. Limits noted in the thread: the setup is manual, and long-running chats can start forgetting earlier weeks.
- Worth knowing
- The main catch is upkeep: they only upload once a week on purpose so they can manually sanity-check entries before sending them.
Try it yourself with Claude Code
Help me build a personal health coach that reads my exported Apple Health data (nutrition, activity, weight, blood pressure, sleep, workouts) from [export file or folder path]. Write a script that parses it and produces a weekly summary with trends and three suggestions for my goal of [goal]. You're done when I can run one command and get a readable report, and don't send my data to any outside service without showing me first.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: Reddit · Sep 28, 2026
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