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.
The author tested Dots on a restaurant booking, research and site-building; booking completed slowly, research and building were useful, calling failed.
The author tested Dots on a restaurant booking, research and site-building; booking completed slowly, research and building were useful, calling failed.
On launch day the author set up a Dot, which is an always-on ChatGPT agent with its own cloud computer and browser. He gave it a research brief, a website and quiz build, and a restaurant booking. The Dot saved research steps to its workspace. He could take over the browser to log in or click, then hand control back.
Research and site design worked well. The booking completed, but it took about five minutes to reach the booking page. The call button never connected, and the avatar took 20–30 minutes. He wouldn't switch yet.
Dots need ChatGPT Pro or Business Premium and aren't available in some regions. App connections are hidden in the plugins section, and the Dot suggested Zapier MCP.
Find and book a table for [number] at a [cuisine] restaurant in [city] on [date] around [time]. Check the options first and show me your top pick, and pause before submitting any reservation or sharing my details. If you can't book online, tell me what you found and the phone number rather than calling. Finish by confirming the booking details or listing what blocked you.
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.