Analyze Garmin data for meal planning and health patterns
The poster exports Garmin data into a Claude project and meal planner, where Claude spotted a link between eating more on one day and reduced medication efficacy.
ChatGPT Agent filled in medication, dosage and number of days on a clinic's website, while the user entered sensitive data manually.
ChatGPT Agent filled in medication, dosage and number of days on a clinic's website, while the user entered sensitive data manually.
One commenter tested agent mode on a clinic’s prescription refill form. They put the medication information into the prompt, and the agent filled in the medication name, dosage, and number of days on the website; the person handled the sensitive fields manually instead of having the agent enter them.
In that test, it completed the non-sensitive prescription details correctly. The only stated limitation was that sensitive information still had to be entered by the user.
Go to [clinic website URL] and fill in the prescription order form with this medication: [name], dosage: [dose], for [number] days. Leave all personal and medical identity fields blank for me to complete myself. Stop before submitting and show me what is filled in so I can review it and submit it myself.
The poster exports Garmin data into a Claude project and meal planner, where Claude spotted a link between eating more on one day and reduced medication efficacy.
A Claude Cowork skill tracks diet and medical metrics in a spreadsheet, and meals told to Claude on mobile are logged in the daily record.
The poster uses Claude with Apple Health, nutrition and lifting app data, plus medication and bloodwork files, and has it maintain an HTML dashboard.