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Life Admin & HomeDone with custom-built or unnamed agent Sep 28, 2026
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. · Sep 28, 2026
- 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 custom-built or unnamed agent
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.