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In this video, I walk you through building a fully functional WhatsApp AI chatbot using n8n, Twilio, and OpenAI—all without writing a single line of code.

We build a smart customer support assistant (named Zara) that can:
– Answer FAQs using a knowledge base (like refund/return policies)
– Recommend products based on customer needs (budget, occasion, interest)
– Track orders by pulling real-time status from a database
– Raise Tickets
– Send messages directly via WhatsApp using Twilio

You’ll learn:
– How to set up a WhatsApp number with Twilio
– How to trigger n8n workflows when a user sends a message
– How to structure conversations using OpenAI Assistants (+ add a knowledge base)
– How to pull data from Airtable (for gifts, orders, or tickets)
– How to write effective system prompts to guide the assistant’s tone and responses
– How to clean up AI replies for a polished customer experience

By the end, you’ll have a WhatsApp AI agent that boosts customer service, automates repetitive tasks, and works 24/7.

Perfect for eCommerce businesses, support teams, and agencies looking to integrate AI chat into WhatsApp.

🛠TOOLS USED: (some of these are my affiliate links).
1. N8N:
2. Airtable:
3. Open AI:
4. Twilio:

💁🏼‍♀️Connect with me:

I hope this video helped you in some way. If so, let me know in the comments below!👇🏻

#aiagents #n8n #whatsappbot

0:00 Intro & Live Demo
1:42 Product Recommendation Demo
2:14 Order Tracking Demo
3:15 Roadmap
5:04 WhatsApp Number + Twilio Setup
9:00 n8n Automation & OpenAI Integration
23:00 Build Tool Actions
27:58 Final Test & Recap
31:30 Outro