22d • General discussion
Using AI to Stress-Test Flip Deals Before You Buy
Take a look at this Reddit thread. Investors were discussing how they’re using AI to pressure-test flip deals before committing capital:
The author is using AI as a decision support system. Luckily, it's even easier to do than it was a year ago.
AI is the second layer of analysis.
Here’s the workflow:
• Input renovation scope + estimated rehab budget
• Add comps + neighborhood sale velocity
• Ask AI to stress-test ARV assumptions
• Identify over-improvement risks
• Generate a clean investor/partner summary
That was 1 year ago, today, it's finding the right links to get the right data and crafting a good prompt (use Prompt Studio)
Instead of just “running numbers,” they’re asking:
- Are these upgrades aligned with neighborhood ceilings?
- Are we overbuilding for this zip code?
- What happens if DOM increases 20%?
- What does this look like if exit price drops 5–10%?
If you’re flipping or investing, why not diagnose possible outcomes?
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Using AI to Stress-Test Flip Deals Before You Buy
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