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I don't ship demos that fall apart the moment you touch them. This is a real bilingual AI receptionist I built and put on the phones for an actual business. It answers in English or Spanish, knows an emergency the second it hears one, and books the job with nobody in the loop. It's the kind of thing that's boring and expensive to get right — so I got it right, and it's been running around the clock ever since. Happy to show you it working.
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AI Voice Agent for Real Estate Lead Booking
An AI-powered phone receptionist built for real estate agencies that answers inbound calls, qualifies leads in real time, and books showings directly to Google Calendar — all within the call itself, with no manual follow-up required.
The problem: Real estate agencies routinely lose leads to missed calls — after-hours inquiries, calls during showings, or overflow during busy periods. A slow callback often means the lead has already moved on to a competitor.
What it does:
Answers every call instantly, 24/7
Naturally qualifies the caller (buy/sell intent, area of interest, showing vs. agent call)
Collects contact details and preferred timing conversationally
Checks real-time calendar availability before booking
Prevents double-bookings and duplicate entries automatically
Confirms the appointment out loud before ending the call
Built with: Retell AI (conversational voice layer), n8n (workflow automation and business logic), Google Calendar API (scheduling)
Available for: Custom builds for real estate agencies, brokerages, or property management companies looking to stop losing leads to missed calls
Beautiful workflow by the way. My nicheeee
A client gave this idea the green light before I even started building it.
Been using AI a lot lately to prototype ideas early, show the direction, and make sure we’re aligned before jumping into the actual build.
Such a good time saver.
When a customer calls to book an appointment, the rep needs an answer immediately. Checking calendars, cross referencing routes, and manually figuring out which technician is available while someone is on the line creates delays and errors.
We designed a booking flow where the rep picks a date and the system filters to that day immediately, showing the AI recommendation for the best technician available. The rep does not have to leave the platform or put the customer on hold. The answer is already there. They confirm and move on.
The AI factors in the technician's schedule, working hours, and how much travel time the appointment adds to their route before surfacing a recommendation.
