Work & Operations
Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
n8n · Gemini
Book tutoring appointments over WhatsApp
An agency owner built a WhatsApp agent for a tutoring company that books calendar appointments, shipped in two days for a $5K fee.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
An agency owner built a WhatsApp agent for a tutoring company that books calendar appointments, shipped in two days for a $5K fee.
Reported experience
What they did
MarcoKueks, who runs a small AI agency and is not an engineer, built a WhatsApp agent for a tutoring company that books calendar appointments. He used Struere, a platform he built to handle the recurring WhatsApp-to-calendar-to-database plumbing. That let him spend most of the two days on the client's booking logic.
How it went
It shipped in two days for a $5K fee. Six months earlier, the same job took a week and a half, including days fixing messages that arrived but never triggered a booking.
Worth knowing
The speedup came from reusing a platform he had already built after repeatedly paying developers for the same stack, not from starting fresh.
Example prompts
Build a workflow that takes incoming WhatsApp messages for [business name], asks the customer which [service] and what time they want, checks [Google Calendar name] for openings, and books the slot. Send a confirmation back to the customer. Test it with a few fake bookings and show me the results before turning it on for real customers.
Related use cases
Work & Operations
Triage car repair requests and reply to customers
An n8n workflow has AI classify web-form jobs by type, urgency and summary, create an Airtable record, reply instantly and flag uncertain cases.
n8n
Work & Operations
Summarize meetings and triage support tickets with Lindy
Lindy agents summarized meeting notes, sent action items to teammates, suggested knowledge-base replies on support tickets, and handled follow-up emails and calendar updates.
Lindy