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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
here is the frontend
Beautiful workflow by the way. My nicheeee
thanks a lot man its good to know
You are welcome
The after-hours gap is exactly where a narrow pilot can prove itself: capture buy/sell intent, area, and showing window, then re-check calendar availability before confirming. I’d keep a human fallback for unusual requests and log every abandoned call so the brokerage can...
yeah i was planing to upgrade it so it can work more smartly on the edge cases as well and thanks a lot for your opinion it worth a lot
Hi Its Abdul
Its a Nice Prototype
thanks man
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AI Email Automation with n8n and Google Gemini
An AI workflow that reads every incoming email, sorts it into 6 categories, and takes the right action automatically.
The problem: businesses lose time and leads because customer emails are mixed with promotions, job alerts, and security emails.
What I built:
Gmail Trigger that picks up each new email
AI Text Classifier (Google Gemini) with 6 categories: Security Alert, Promotions, Jobs, Personal, Payments, and Client Inquiries
Automatic Gmail labels for every category
Google Sheets log for jobs, leads, and payments
AI information extraction for client emails (name, phone, service, budget)
AI-written reply drafts for client emails, saved as drafts so a person approves every reply
Instant Discord alerts for security, payment, and client emails
Tools: n8n, Google Gemini, Gmail, Google Sheets, Discord
This project is a working demo built on my own inbox. The same system can be adapted to any business email, such as travel agencies, event venues, stores, recruiters, and consultants.
Impressive workflow! I especially like the human approval step for AI-written replies. Automation with the right oversight makes a real difference. 🙌
🌙 3:07 AM. Your team is asleep. Your AI agents aren't. 🤖
While you sleep, they:
💬 Reply to every new lead in seconds
📅 Book the slot straight into your calendar
🔔 Follow up before the lead goes cold
📊 Have your morning summary ready
☀️ You wake up to bookings, not missed messages.
🚀 I build AI agents for startups and small businesses.
🎁 Message me for a free of cost demo on your own services and prices 👋
The morning summary is what sells it. Owners want to see what happened overnight before they trust it.
My first n8n template is now live in the official n8n library, and it is free to use.
After a sales call, most people either rush the follow-up email or forget it. This workflow does the first draft for you.
When Fireflies finishes transcribing a call, it:
pulls the full transcript
uses OpenAI to write call notes: a summary, open questions, the next step and the outcome
saves a follow-up email to the contact as a Gmail draft
logs the call in Google Sheets and emails you the notes
Nothing is sent to the contact automatically. The follow-up waits in your drafts until you check it and press send.
Works with the free Fireflies plan and n8n Cloud.
Get it here: https://n8n.io/workflows/20963
Congrats on getting it approved. Drafting instead of auto-sending is the right default. One edge case worth a guard: calls where the transcript comes back empty or cut short, otherwise the model writes a confident follow-up from almost nothing.