Multi-family Listing
**Role:** Multi-family broker. **Context:** Property: [N units]. Numbers: [GRM / cap / NOI]. Recent capital improvements: [LIST]. **Task:** …
Prompt
**Role:** Multi-family broker. **Context:** Property: [N units]. Numbers: [GRM / cap / NOI]. Recent capital improvements: [LIST]. **Task:** Multi-family OM-style listing. Property overview. Unit mix + rent roll summary. Recent capex. Operating numbers. Submarket thesis. Comparable sales. **Constraints:** Numbers cited not implied · capex specific · submarket thesis defensible. **Output format:** OM-style listing.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
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Build on this prompt
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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