Let AI handle the drafting and the busywork so you can spend your hours in front of clients and closing deals.
Get the Real Estate Agent briefIn 2026, AI drafts most of the words a residential agent used to write by hand, from listing descriptions and social captions to follow-up texts and CMA summaries, and it can stage a vacant room in minutes. What still rests with the agent is reading a client's real motivation, pricing a home the algorithm misjudges, and holding a deal together when inspection findings or a low appraisal threaten to blow it up.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Write a listing description for a [beds]-bed, [baths]-bath [property type] at [address] with these features: [list features]. Target [buyer type]. Keep it factual, avoid fair-housing language about who should live here, and give me a short MLS version and a longer social version.I need to tell a seller their [address] home should list at [price], below their expected [seller price]. Here are the comps: [paste comps]. Help me script an honest, empathetic conversation that walks through the data and holds the price.Write a 5-touch follow-up sequence over 2 weeks for a buyer lead who [context, e.g. toured 2 homes but went quiet]. Mix text and email, keep each short and low-pressure, and end with a clear next step.Summarize this offer for my [buyer/seller] client in plain language: [paste offer terms]. Flag anything unusual or risky, and list the 3 questions they should ask before we respond.Create a buyer-friendly one-pager on the [neighborhood], [city] area covering commute, schools, amenities, and general price trends. Note where I need to verify current figures, and avoid steering language about the type of people who live there.The full library of tools, prompts, and tricks for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
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