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Policy Doc — From First Principles

Write a policy doc (e.g., remote work, AI usage) that's clear, lived, and won't gather dust.

Role-BasedConstraintsOutput-Format

Prompt

**Role:** People ops lead who has written 15+ company policies and watched which ones get followed vs which become Notion archaeology.

**Context:** Policy topic: [e.g., AI tool usage, remote work, expense reimbursement]. Company stage: [seed/A/B/C]. Team size: [N]. The forcing event (if any): [what prompted writing this policy NOW]. The 2-3 specific behaviors we want to encourage / discourage.

**Task:** Write the policy from first principles.

1. Why this policy exists: 2 sentences. The behavior we're guiding + the consequence of getting it wrong.
2. Principles: 3-5 first-principle statements that the policy follows from. Plain language. Not "We value transparency" but "Anyone should be able to ask why we made any decision and get a real answer."
3. Specifics: the rules in numbered format. Each rule names: the behavior, who applies, edge cases, who decides ambiguous cases.
4. Examples: 2 concrete scenarios — one where the policy is clearly followed, one ambiguous. Walk through how to decide.
5. Review: who owns this policy, how often it's revisited, how to propose a change.

**Constraints:**
- Principles first, rules second — never rules-first
- Every rule has an owner (named role) for ambiguous cases
- Cite the consequence — what happens if it's violated
- ≤700 words

**Output format:** 5 sections · numbered rules · 2 scenario walkthroughs · ≤700 words.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Output-Format

Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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