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In this video, a WhatsApp AI agent is built using n8n and an AI model. The system is designed to automatically reply to customer messages in real time without manual effort. It can understand natural language, maintain conversation context, and generate human-like responses.
The video explains the complete setup, including connecting a WhatsApp Business number, working with the WhatsApp API, setting up webhooks, and creating a workflow in n8n. Incoming messages are processed by the AI model, and responses are sent back to users through WhatsApp.
The video is followed by a demo that shows the system in action. Messages are received, processed, and replied to instantly, giving a clear understanding of how the agent performs in real scenarios.
This setup can be used for customer support, answering common questions, lead qualification, and automating conversations. It runs continuously and can be extended with integrations like CRM systems, Google Sheets, or email notifications.
By the end, a clear understanding is provided of how the system works and how a similar WhatsApp AI agent can be built and customized
Following are the topics covered in this tutorial on How To Build WhatsApp AI Agent Using n8n:
00:00:07 Introduction
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2026/03/22
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