---
name: al-649-find-flip-deals-while-you-sleep-save-a-flip-search-that-r
description: "Homesage.ai (Nov 4, 2026) launched flip search for real estate investment companies: pick Flip as the goal in Investment Property Search, type a location, and each result shows list price, estimated after-repair value (ARV), spread and estimated ROI. Teams sort by ROI, filter by condition, price and days on market, and save the search for daily updates on new matches. A Full Property Report reads the listing photos and prices repair work room by room (no uploads), shows the most a team can spend on repairs and still hit a 20% target return, and gives ROI, total profit, break-even price and maximum allowable offer with each cost on its own line. Example from the release: a poor-condition DC rowhouse listed at $425,000, repairs estimated at $244,420 from 30 photos, estimated ARV $983,233. Investors can change condition or ARV and the numbers recalculate; reports export to PDF or go straight to a lender, and the same data is available by API and MCP server. All figures are estimates;…"
---

# Find flip deals while you sleep: save a flip search that ranks listings by estimated ROI every day, then get a room-by-room rehab estimate from the listing photos and the maximum offer that still hits your target return

Homesage.ai (Nov 4, 2026) launched flip search for real estate investment companies: pick Flip as the goal in Investment Property Search, type a location, and each result shows list price, estimated after-repair value (ARV), spread and estimated ROI. Teams sort by ROI, filter by condition, price and days on market, and save the search for daily updates on new matches. A Full Property Report reads the listing photos and prices repair work room by room (no uploads), shows the most a team can spend on repairs and still hit a 20% target return, and gives ROI, total profit, break-even price and maximum allowable offer with each cost on its own line. Example from the release: a poor-condition DC rowhouse listed at $425,000, repairs estimated at $244,420 from 30 photos, estimated ARV $983,233. Investors can change condition or ARV and the numbers recalculate; reports export to PDF or go straight to a lender, and the same data is available by API and MCP server. All figures are estimates; the final call stays with the investor.

## Inputs to collect first
Ask the user for anything below that they haven't already given you. Don't guess missing facts.

- Your own material (text, notes or data)

## Instructions

Do the task below with the user's inputs in place of each [bracket].

1. Write your buy box in one line: area, max price, property type, and the minimum return you need (for example 20%).
2. In a flip-analysis tool, set the goal to Flip, enter your area, sort by estimated ROI, filter by condition and days on market, and save the search so new matches arrive daily.
3. For each promising match, open the full report and copy the list price, estimated ARV, rehab estimate, holding and selling costs into your AI assistant.
4. Ask: "Check this flip math step by step. Show ROI, total profit, break-even price and the maximum offer that still hits a [X]% return. Then redo it with ARV 10% lower and rehab 20% higher and tell me if it still works."
5. Ask: "List the 5 things I must verify in person before offering (structure, roof, permits, comps, title)."
6. Only walk the houses that survive the stress test, with your contractor. Treat every AI number as an estimate until verified.

## Safety checks (share these with the user)

- Check every figure, price and total against your own records before anything is sent, posted or booked. A person approves refunds, discounts, payments and price changes.
- Check names, dates, numbers and any claim against your own source material before you use the answer. AI can misread or invent details.
- Say clearly which parts need a person to review or approve before anything is sent, paid, posted or filed.

## About this skill

- Works with: Homesage.ai Investment Property Search and Full Property Report (API and MCP server available), ChatGPT/Claude for the stress test
- Based on this real-world example: https://www.einpresswire.com/article/954286429/homesage-ai-launches-ai-that-finds-and-analyzes-house-flips
- Free prompt from AgentPlaybook Real Estate: https://agentic-library.netlify.app/prompt/al-649-find-flip-deals-while-you-sleep-save-a-flip-search-that-rank/
- To install in an agent that supports Agent Skills, save this file as SKILL.md in a folder with the same name as `name` above (for example in your skills directory). Install steps for Claude.ai, Claude Code, Cursor and Codex: https://agentic-library.netlify.app/skills/
