I recently built and deployed a fully custom AI chatbot connected to an n8n automation backend — and I’m really excited about how it turned out.
This wasn’t just about embedding a chat widget. The goal was to create an intelligent assistant that actually understands users, guides them through the website, and triggers real automation workflows behind the scenes.
Here’s what I built:
🧠 Custom GPT-powered assistant
The chatbot understands user intent and helps visitors navigate products, solutions, services, and support topics naturally.
💬 Built with Lovable
I used Lovable to rapidly develop and iterate the frontend experience — ensuring smooth UI, responsive design, and seamless integration with the backend logic.
I love the idea of building something that truly understands users instead of just embedding a basic chatbot. Curious ! How does the AI assistant connect to and trigger the automation workflows behind the scenes?🤔
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