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My weekly check: The AI reads my Peloton data and spots what is slipping

Each week he drops three files into a folder: an Apple Health export, his Peloton data, and a spreadsheet of extras. The AI runs the numbers through 19 metrics, flags shifts like cycling power dipping after a hard hike, and updates a dashboard he checks to adjust his training.

How it works

  1. Drop three files into a folder each week
  2. A script strips medical details from the health export
  3. The AI runs the data through 19 metrics
  4. Flags performance shifts and patterns
  5. Dashboard updated
  6. He reviews it and adjusts his training

Why it’s worth knowing

It caught his cycling power dipping after a tough hike, a knock on effect across two different sports that he says he would have missed on his own.

Where it’s from

Summarized from a public post on vibingtalk.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.