This week's field, ranked by investor payoff. What each one is, and how you actually use it.
Software that answers every rental inquiry in seconds, prequalifies the lead, and books the tour with no human touching it. Source ↗
For investorsStop losing leads to slow replies. Full breakdown in Use This Today, just below.
Vision models (Claude, ChatGPT, Gemini) now read listing photos like an inspector with twenty years of pattern recognition.
For investorsScope a rehab in two minutes before you drive out. Steal the prompt in The Prompt, below.
A fintech that just raised $4.1M to build an AI that works borrower files like a loan officer: reads the docs, flags the problems, writes the explanations. Source ↗
For investorsClosings get faster and cheaper across the board. Speed wins deals: the lender who closes in ten days beats the one who needs thirty.
HUD proposed allowing multi-story manufactured homes without a permanent chassis. Source ↗
For investorsIf it lands, build costs on small multifamily drop. Worth watching if you develop.
OpenAI's top models now run inside AWS. Source ↗
For investorsYou can put top-tier AI on your own deal data without it ever leaving your cloud.
Top pick from The Wire, taken all the way down
Software that answers every rental inquiry instantly, prequalifies the lead, and books the tour with no human touching it.
Most rental leads go cold because nobody answers for hours. AI leasing assistants are the first fix that works at portfolio scale, and property managers are quietly adopting them right now.
Copy, paste, attach listing photos, run:
You are a rehab estimator for single-family investment properties. I am pasting photos from a property listing. Do four things: 1. List every visible repair item, room by room. 2. For each item: severity (cosmetic / moderate / structural risk) and a cost range at national average pricing. 3. Total the ranges and give me a "most likely" rehab number. 4. Flag anything suggesting hidden problems worth an inspection: water stains, foundation cracks, DIY electrical, settling doors. End with the three questions I should ask the listing agent.
Every week I take apart a system I actually run in my own business. No theory, no demo-ware. The real thing, with the parts you need to build your own.
This week: my system listens to every business call I take, updates my CRM overnight, and has the follow-up drafts waiting when I wake up. Reply "HOW" and I will break the whole stack down in a future issue.