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How to recreate: The physio who photographed his clients' posture

A practitioner used a vision tool to keep his eye honest, not to replace it. — A step-by-step kit to reproduce the workflow.

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A branded, step-by-step kit that shows you how to reproduce the workflow behind the case study "The physio who photographed his clients' posture" — without naming the original person, copying their data, or pretending the result will be identical. Inside the PDF you get the five chained prompts, a ledger template scoped to this case's tool category, and a 7-day reproduction checklist that surfaces whether the case's pattern actually fits your situation. The judgement, as always, stays yours. Designed for practitioners working in the movement / integration layer of the Wellness & AI stack. Pair it with a chat-based LLM you already use (ChatGPT, Claude, or Gemini). Bring your own subscription.

Who it's for

For practitioners scaling 1:1 work without scaling burnout.

Best for

  • You run a coaching, nutrition, functional-medicine or longevity practice.
  • You want to use AI as a delivery layer — not replace your clinical judgement.
  • You're done re-explaining the same protocol in every consult.

Not the right fit if

  • You want a fully managed software product — this is a build-it-yourself system.
  • You're not ready to put your method in writing.

Audience: Practitioners

Inside · paste-ready blocks

practitionerintegrationmovementcase-study-kitreproductionprompt-pack

Inside: the 5-prompt pack adapted to this case's workflow type, the matching ledger template (5–7 columns), the 7-day reproduction checklist, and a one-page note on honest reproduction. PDF, A4, fully branded.

🔒 The step-by-step guide unlocks after purchase.

The case study this kit recreates.

Read the published case study to see the shape of the work, then use this kit to walk the same path with your own data.

Before you buy.

It works for both individuals and practitioners. The prompts and structure adapt to whoever holds the data.

Find the next layer of your stack.