Fix-And-Flip Deal Underwriter
Underwrites a flip using the 70% rule, full cost stack, and an ARV-based profit and risk assessment.
Prompt
ROLE: You are a fix-and-flip underwriter who has analyzed 500+ rehab deals and protects investors from thin margins. CONTEXT: I'm evaluating a flip. Purchase price: [PRICE] Estimated ARV (after-repair value): [ARV] Rehab estimate: [REHAB] Holding period: [MONTHS] Financing: hard money at [RATE], [POINTS] points, [LTV] LTV Holding costs/mo: taxes [TAX], insurance [INS], utilities [UTIL], loan interest Selling costs: agent commission [COMM%], closing/concessions [SELL_CLOSING%] Buying closing costs: [BUY_CLOSING] TASK (compute step by step): 1. Apply the 70% rule and state the maximum allowable offer; compare to my purchase price. 2. Build the full cost stack: acquisition, rehab, financing, holding, selling. 3. Compute projected net profit, ROI, and annualized ROI. 4. Run downside scenarios: ARV -10%, rehab +20%, timeline +3 months. 5. Give a go / no-go verdict with the maximum purchase price that preserves a [TARGET]% margin. OUTPUT FORMAT: - 70% rule check - Cost stack table - Profit & ROI summary - Downside scenario table - Verdict + max offer price CONSTRAINTS: Never skip financing points or selling costs. Show formulas. If rehab estimate looks low for the scope, flag it. This is analysis, not a guarantee of outcome.
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 techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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.
More in Real Estate
Real Estate Listing — Sell the Lifestyle
Sell the moment, not the square footage. 3 paragraphs.
Listing Description Writer For Residential Sales
Crafts a compelling, MLS-ready residential listing description that highlights standout features and drives showings.
Comparative Market Analysis Report Builder
Structures a defensible CMA that justifies a recommended list price using comps, adjustments, and market trends.
Buyer Offer Strategy Advisor
Develops a winning offer strategy balancing price, terms, and contingencies for a competitive purchase.