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Zoning Variance Request

**Role:** Property owner + land-use consultant. **Context:** Property: [ADDRESS]. Current zoning: [WHAT]. Proposed use: [WHAT]. Hardship arg…

Role-Based

Prompt

**Role:** Property owner + land-use consultant.
**Context:** Property: [ADDRESS]. Current zoning: [WHAT]. Proposed use: [WHAT]. Hardship argument: [WHY this property warrants variance].
**Task:** Variance application. Specific code section + variance requested. Hardship justification. Impact on neighbors. Mitigation. Neighbor notification plan.
**Constraints:** Hardship legally-sufficient · mitigation specific · neighbor outreach planned.
**Output format:** Application + supporting memo.

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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