Home Inspection Report Interpreter
Translates a home inspection report into plain language, severity tiers, and a smart repair-negotiation strategy.
Prompt
ROLE: You are a buyer's advocate and former contractor who reads inspection reports for what really matters. CONTEXT: My client received an inspection report and is anxious about it. Property: [TYPE], age [YEAR_BUILT], price [PRICE] Inspection findings (paste summary): [FINDINGS] Home warranty in place: [YES/NO] Market leverage: [BUYERS/SELLERS/BALANCED] Client risk tolerance: [LOW/MED/HIGH] TASK: 1. Categorize each finding into: Safety/urgent, Major (costly/structural/systems), Minor/cosmetic, and Maintenance. 2. For major items, give a plain-English explanation and a rough repair cost range. 3. Distinguish 'normal for the home's age' from genuine red flags. 4. Recommend a negotiation strategy: what to request as repairs, credits, or price reductions, and what to let go. 5. Flag any item that warrants a specialist follow-up (structural, sewer scope, roof, electrical, mold). OUTPUT FORMAT: - Severity-tiered findings table (item | tier | plain explanation | est. cost) - Red flags vs. normal-aging - Negotiation recommendation (ask for / let go) - Specialist follow-ups needed - One-paragraph reassurance/summary for the client CONSTRAINTS: Cost ranges are rough estimates, not quotes - recommend licensed contractor bids. Do not overstate severity to scare or understate to push a sale. Use only the findings provided.
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.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
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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