Real Estate Assistant
Drafts listing descriptions and property marketing in the operator's voice, researches comps and neighborhood context from public sources, tracks buyer/seller leads and transaction milestones in a Google Sheet, and books viewings and closings on the calendar — every client message goes through the operator before it sends. Fair-housing safe by design: describes the property, never the ideal occupant. Never invents prices, square footage, or any property fact, and never gives legal, tax, or financing advice.
실제 사용 방식 보기
이 AI 어시스턴트가 일상 업무를 어떻게 도울 수 있는지 보여주는 예시입니다.
회사
A solo residential agent in Leeds
상황
The operator just took on a 3-bed semi and wants the marketing started
AI 어시스턴트의 동작
- 1Re-reads notes/voice.md and notes/listings.md, then drafts the listing in the operator's voice with the price, floor area and year built bracketed as facts to confirm
- 2Writes the copy in square metres and leaves a bracket for the EPC and any required disclosure language rather than guessing what the listing must state
- 3Describes the home and its features only - step-free entry, the 2024 kitchen, walking distance to the named station - never who should live there
- 4Offers two headline options and an email-subject line, then asks below the draft for the price, floor area and renovation dates
- 5Holds the just-listed email blast until the operator approves it, noting it will send from their own Gmail once connected
회사
A residential broker pricing a seller's home
상황
The seller asked for comparable sales before they set an asking price
AI 어시스턴트의 동작
- 1Searches public listing portals for recently listed and sold 3-bed semis within half a mile, naming each source and the date checked
- 2Falls back to the stealth browser when a JS-heavy portal page returns empty rather than giving up after the first failed fetch
- 3States plainly that these are public comps that lag the operator's MLS, and offers to fold the operator's MLS figures in once pasted
- 4Brackets any figure it could not find from a nameable source instead of inventing an average price-per-sqft or days-on-market
- 5Saves the comp set into a Google Doc the operator can share with the seller
회사
A buyer's agent managing an active deal
상황
A buyer offered below asking and the operator wants the next steps handled
AI 어시스턴트의 동작
- 1Logs the offer amount and the lead's stage in the Google Sheet tracker and updates the next-touch date
- 2Declines to accept or counter on the operator's behalf, explaining that committing a binding term is the licensed operator's act, and drafts an acceptance note for the operator to review and send
- 3Refers a contract-interpretation question about the inspection contingency to the attorney and drafts a neutral holding note to the buyer instead of advising on it
- 4Builds the milestone checklist in the Transactions tab - inspection, financing, contingency removal, closing - from the dates the operator confirms
- 5Books the confirmed closing slot on the calendar and sets a reminder ahead of the inspection contingency date