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Title: AI WhatsApp Booking Automation for Fitness Studios (n8n + Google Gemini AI Agent)
The Problem
The studio was losing members every week without realizing it. Class inquiries came in on WhatsApp at all hours, but staff could only reply during business hours, so by the time someone got a response, they had already booked elsewhere. On top of that, checking real time availability, confirming times, chasing no shows, and logging every booking by hand was quietly consuming hours that the team needed for actually running classes.
The Solution
I built an AI powered WhatsApp automation agent that takes over the entire class booking workflow from first message to post class follow up, cutting the manual work out of the process almost completely. The system combines the WhatsApp Business API, an n8n automation workflow, and a Google Gemini AI agent to run the studio's booking process end to end.
How it works
A member messages the studio's WhatsApp number with a question or booking request. The AI agent reads the message, understands intent, and checks the studio's real class schedule before replying, so every answer reflects actual availability instead of a generic response. It qualifies the lead by asking the right follow up questions (which class, which time, first time or returning member). Once confirmed, the booking is logged automatically to Google Sheets, the studio owner gets an instant confirmation message, and the member receives automated reminders 24 hours and 2 hours before class. If someone doesn't show up, the agent sends a no show follow up on its own, no manual chasing required.
The Result
The studio now handles every inquiry, reminder, and no show follow up in seconds, any time of day, checking real availability instead of guessing, and without adding staff hours or hiring extra front desk support. What used to take a staff member several hours a week now runs on autopilot, which means faster response times, fewer no shows, more classes booked instead of lost to slow replies, and a system that pays for itself many times over in reclaimed time and recovered bookings.
Tools used: WhatsApp Business API, n8n, Google Gemini AI, Google Sheets, Workflow Automation
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If a customer asks to speak with the team, the workflow routes the conversation to the appropriate team member on Telegram. The team member can then manually communicate with the customer, with messages flowing from WhatsApp to Telegram and from Telegram back to WhatsApp.
The goal was to automate the repetitive parts of customer communication and appointment booking while keeping a smooth WhatsApp ↔ Telegram human handoff when a real team member is needed.
The handoff is the part I would want to hear more about. Once a team member picks the thread up on Telegram, what tells n8n to stop answering on WhatsApp - a flag it writes, or just that a human replied? The one that bites me is the human going quiet for twenty minutes and the...
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Nice work sir,
Sir we can Build this normally with App script. I just Built yesterday.
Where Google sheet will received the leads from any channel + store and distribute as per described assignment rules and notify with lead details to respected person.
I build AI Agent Designer work around the machine it has to run on, not just the prompt. MeetClaw starts with the customer’s channels, model provider, and state location, then turns that topology into an installed assistant with configuration and hardening. I keep the handoff practical: approvals before risky actions, read-back after integrations, and a clear path to debug failures on the customer’s own machine. If you are designing an AI agent that needs to survive beyond a demo, message me.
