Underwrite more deals in less time, so you can spend your judgment where it actually moves returns.
Get the Real Estate Investor briefIn 2026, AI can do the grunt work of real estate investing: pulling a property's numbers into a first-pass underwriting model, summarizing a neighborhood's rent and price trends, drafting the emails and listing analyses that used to eat your evenings. It's fast at turning raw listing data and comps into cash flow, cap rate, and ARV estimates you can react to. What it can't do is stand in the property, judge the block, or sign off on the deal — the assumptions, the due diligence, and the buy decision stay yours.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Act as a conservative underwriting analyst. Here are the numbers for a rental I'm evaluating: asking price [$], estimated rent [$/mo], property taxes [$/yr], insurance [$/yr], HOA [$/mo], and [any known repairs]. Assume [X]% down at [Y]% interest, [Z]% vacancy, 8% maintenance, 8% management, and a [%] closing-cost estimate. Build a first-pass pro forma: monthly cash flow, cap rate, cash-on-cash return, and the 1% rule check. List every assumption you made so I can correct it, and flag the two assumptions the return is most sensitive to.I'm evaluating a flip/BRRRR at [address or listing]. The scope of work is: [describe — e.g. full kitchen, two baths, flooring, paint, roof]. Give me a rough rehab budget broken down by category with a range, note where costs could blow up, and add a [%] contingency. Then, based on these recent comps I'm pasting [paste 3-5 sold comps with sqft and price], estimate an ARV range. Be explicit that these are starting estimates I need to verify with contractor bids and a local agent.Write me a one-page investor brief on [city/ZIP/neighborhood] for buy-and-hold rentals. Cover: typical rents by unit type, price-per-square-foot trend over the last few years, average days on market, vacancy signals, property tax rate, and any notable ordinances (rent control, licensing, short-term-rental rules) I should check. Cite sources for each claim. End with the three things I most need to verify locally before buying here.Here's my underwriting for a deal: [paste your assumptions and outputs — price, rent, expenses, financing, projected cash flow and returns]. Play devil's advocate. Which assumptions look optimistic for this market? What expenses might I be underestimating or leaving out entirely? Run a downside case where rent is 10% lower and vacancy and maintenance are higher, and show what happens to cash flow and cash-on-cash. Don't reassure me — find the holes.Write a concise, professional email to a listing agent making an offer on [address]. My offer is [$] with [financing type / cash], [inspection and financing contingencies], closing in [X] days, [earnest money]. Keep it friendly but businesslike, briefly note that I'm a serious repeat buyer who closes, and ask about the seller's timeline and motivation. Give me a version I can send as-is and one slightly warmer variant.Your full AI playbook for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
| Your Playbook | First drafts |
The move that gets you past the hardest part of any task — starting. Works for an email, a plan, a report, a tricky reply. Free, no login.
ChatGPT FREE a free AI assistant that drafts, rewrites, and thinks through problems with you
Go to chatgpt.com (the free tier is fine) and describe what you need in plain words. Give it the goal, the audience, and any facts it should use:
It drafts. Now make it yours — push back in the same chat:
You go from staring at nothing to editing a real draft in two minutes. Editing is always easier than starting.
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