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The AI Prompt Framework
+ Definition of Done

A 9-layer framework for prompting AI without getting slop, plus a 5-section checklist for evaluating any AI output. Free PDF, free to share, no strings.

Drawn from the AI session Goetch Stone is presenting at PSU MacAdmins 2026. Tested on real work. Three pages. Print it.

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What's Inside

Three pages. Two frameworks. One habit.

The 9-Layer Prompt Framework

Walks through the nine things every high-stakes prompt should include: who it's for, what the actual job is, the data the AI must use, the output's shape, and how to iterate. Fillable worksheet format.

The Fast Version

Three questions for low-stakes work — when the full framework is overkill. Plus a stakes matrix so you know when to use which version.

Definition of Done Checklist

Five checks — accuracy, contradictions, slop, hard questions, gut check — to run on any AI output before you accept it. Yours or someone else's.

Why It Exists

AI is a tool. Tools require operators who know what they're doing.

  • Most AI output is mediocre because the prompts didn't give the AI enough to work with.
  • Most AI output gets accepted because it looks finished, not because it's right.
  • Most people don't have a habit for either side of the problem.
  • This framework is the habit. Three pages. Print it. Pin it next to your monitor.

Want help putting this in your business?

We help leadership teams put guardrails on AI use — policy, workflow review, vendor evaluation, training. The framework is what we internally use to do that work.