Just got the first end-to-end reply from a WhatsApp AI agent I'm building in n8n, and I'm way too happy not to share. What I'm building: a hotel booking assistant on WhatsApp. A guest messages, and the agent (Gemini + n8n) is meant to handle new bookings, lookups and reschedules using Google Sheets. Today the greeting reply came through, and the rest of the flows are still to be tested. Why it took 2 weeks (in case you're stuck too): - The trigger showed no executions at all, even though the webhook was verified. - Subscribing to the messages field wasn't enough. I also had to subscribe my WhatsApp Business Account to the app via the subscribed_apps call. - Meta allows only one webhook subscription per app, so n8n refused to run my new trigger until I deleted the old one. - Testing a trigger node on its own only runs that one node. Run the whole workflow (or pin the trigger data) to see the full flow. Next up: publishing it and testing the booking flows end to end. If you're building WhatsApp automations, what's been your biggest roadblock?

Hey Guys, What should be the next?

The problem: guests check out and nobody follows up. No thank-you, no review request, no reason to come back. So I built an n8n workflow that handles it automatically: ✅ Every morning it reads the hotel's bookings sheet ✅ Finds guests who checked out yesterday ✅ Skips cancelled bookings and anyone already messaged ✅ Sends a friendly WhatsApp message with a thank-you, a Google review link and an offer for their next stay ✅ Marks the booking as "Review Sent" so no one gets the same message twice Why it matters for a hotel: - More Google reviews, because guests are asked at the right moment - More repeat bookings, thanks to the next-stay offer - Zero manual work for the staff Stack: n8n + Google Sheets + WhatsApp Cloud API. I've run the full workflow end to end and it works. If you run a hotel or build for hotels, what follow-up would you automate after check-out?

This one was a pretty big build because I wanted to go beyond a simple chatbot and connect multiple workflows into one complete system. 💬 Patient WhatsApp Receptionist The receptionist can handle: • English + Urdu conversations • Appointment booking • Appointment cancellation • Appointment rescheduling • Doctor information • Clinic services • Branch information • Emergency cases • Human support escalation 📅 Appointment Automation I also built the backend logic for: • Doctor schedules • Appointment slot generation • Availability checking • Booking slots • Cancelling appointments • Reopening cancelled slots • Blocking unavailable dates/times • Keeping booked slots protected from automatic blocking 📊 Daily Reporting The system also generates a daily operational report containing: • Total conversations • Unique patients • Appointment requests • Pending confirmations • Escalations • Emergency cases • Pending staff responses • System errors • Open errors All of this is combined into a plain-text summary and automatically sent by email. 🛠️ Stack n8n WhatsApp Business Cloud PostgreSQL JavaScript AI/LLM Email automation This project gave me a lot of hands-on practice with multi-workflow architecture, database logic, API integrations, conditional logic, appointment systems, and error handling. Would love to hear what you guys think. #n8n #AIAutomation #Automation #WhatsAppAutomation #WorkflowAutomation

After weeks of searching to get a service to host my Google Events Scheduling Agent, cause Oracle was just hitting me back with no space and n8n cloud server seemed too costly, I thought to go ahead. So, Recently covered the "Telegram Receipt Analysis Assistant" - Deterministic approach used by LLMs - Feeding data from custom GPT to Relevance (prompt generator tool) - How to feed data for different fields - Using AI Builder for creating Automation tool/worflow with N8N Cloud, different than the traditional method - Use cases of Google Workspace and GCP - Debugging with AI suggestions Going ahead to explore in this space!