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.
Meta's AI agent phoned a dental insurer, gave the member ID, answered a security question and waited on hold before transferring the user to a representative.
Meta's AI agent phoned a dental insurer, gave the member ID, answered a security question and waited on hold before transferring the user to a representative.
Per a quoted passage in a Hacker News comment, Meta's AI agent placed an outbound call to the writer's dental insurer. It gave their member ID, answered a security question, and waited on hold. Once a representative came on, it transferred the call to the user. The commenter says they hadn't known Muse could do this.
The call reached a human representative about ten minutes before the handoff, so the user skipped the hold time. The source gives no further numbers, and the commenter hasn't tried it yet.
The source is a brief comment quoting an article, so it gives no setup steps, costs, or limits; the commenter says they still need to try it.
Call [insurer name] at [phone number] on my behalf to ask [question, e.g. whether a procedure is covered]. Give my member ID [ID] if asked and wait on hold. Once a representative is on the line, tell me and transfer the call to me. Check with me before sharing any personal details beyond my member ID.
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.