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How AI Helps Realtors

Most of an agent's day is words: a listing that has to sing, a follow-up that can't sound canned, a script for a nervous seller, a plain answer to "what's a contingency?" AI is good at first drafts of exactly this. These recipes hand you the prompt and show you the result, so you spend your time editing instead of staring at a blank screen.

How the recipes are grouped

Each recipe lives under the job you're doing, not the tool you're using:

Two more groups are on the way as recipes are written: Market & Advising (neighborhood and pricing explainers) and Transactions & Admin (showing notes, checklists, disclosure explainers). A group shows up here once it has its first recipe.

What every recipe looks like

The shape is the same each time, so you learn it once:

  • When to use this — the moment the recipe fits.
  • The prompt — paste-ready, with the blanks you fill in.
  • Before and after — the raw input and what the AI turned it into.
  • Make it yours — how to tune the voice and reuse it.
  • Watch out for — only where a recipe touches a rule you can't get wrong.

Where you keep the judgment

This is the part AI does not do for you. An agent stays on the hook for three things, every time:

  • Fair housing. AI will happily write phrases that steer or describe the buyer instead of the home. That's a legal risk. You read every listing and every ad with fair-housing eyes before it goes out.
  • Accuracy. Square footage, school ratings, "walk to the train," what a clause means — the AI guesses when it doesn't know. You confirm the facts.
  • It isn't legal advice. A plain-language explainer helps a client understand a term. It doesn't replace their attorney, and you shouldn't let it read that way.

The recipes flag these where they bite. But the rule holds even where a page stays quiet: the AI drafts, and you own what you send.