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Home Inspection Report Interpreter

Translates a home inspection report into plain language, severity tiers, and a smart repair-negotiation strategy.

Role-BasedStructured-OutputStep-by-Step

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. 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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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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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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