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Real Estate

Listings go stale faster than a model gets retrained.

Property is the worst case for an assistant working from training data, because the single most important fact, whether it is still available, changes weekly. An agent that can query your listings live is answering a different question from one that is remembering them.

Asked of an assistant

What a customer types

  • “Three bedrooms under $500,000 with a yard near me”
  • “What has sold on this street in the last year?”
  • “Which agent knows the school district well?”
  • “Can I see this one on Saturday?”

One business gets named. Sending a buyer to a property that sold last week. Availability has to be checked at answer time, not published nightly.

What people are asking

These are the questions deciding it.

Asked of an assistant, not typed into a search box. One business gets named.

Three bedrooms under $500,000 with a yard near me

What has sold on this street in the last year?

Which agent knows the school district well?

Can I see this one on Saturday?

What we publish about you

So the answer has something true to come from

  • Active listings with price, status and the date each last changed
  • Neighbourhood and school context tied to specific properties
  • Agents, their areas and how to reach them
  • Open houses and showing availability
What the agent can finish

Not describe. Finish.

  • Search live listings against a real budget and must-haves
  • Confirm a property is still available before anyone drives to it
  • Book a showing or request one
  • Route the enquiry to the right agent with the property attached

Anything that reaches a human is staged for the customer to confirm. The agent does the work; the person keeps the decision.

The thing to get right in real estate

Sending a buyer to a property that sold last week. Availability has to be checked at answer time, not published nightly.

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