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Make sense of your smartwatch and fitness data

“My watch collects tons of data and I don't know what it's telling me.”

Export your data and ask AI to summarize trends in sleep, heart rate and activity. Treat findings as conversation starters for your doctor or coach, not a diagnosis.

Fix it yourself in 3 steps

Export your data from the health app (most offer a CSV or export option).
Ask the AI for weekly averages and the 3 biggest changes over the last few months.
Pick one habit to try, and recheck in a month.

Copy this prompt

Here's an export of my wearable data: [file]. Summarize weekly averages for sleep, resting heart rate, and activity, and show the 3 biggest changes over the period with dates. Note gaps in the data. Suggest one small habit to try, labeled 'not medical advice'. Stop there.

Fill in the [brackets]. Each prompt says when the AI should stop, so it doesn't wander off.

Agents people used for this: Claude, Claude Code.

Inspired by real examples collected at agentusecases.ai.

📚 5 real stories of people doing this with AI agents

Analyze Garmin data for meal planning and health patterns · Claude
Build a cardiac health tracking app · Claude
Build a thyroid episode warning model from wearable data · Claude Code
Coach training and diet from wearable data · Claude
Let Claude read Apple Health and Fitbit data via MCP · Claude Code

Collected at AgentUseCases.ai.

Never paste anyone's identifiable health information into a consumer AI tool — black out names, dates of birth and member IDs. Organizations handling patient data need tools covered by a Business Associate Agreement (BAA). FixKit is not medical advice.

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