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Respond to WhatsApp Messages with AI Like a Pro!

n8n template #2466
This n8n template demonstrates the beginnings of building your own n8n-powered WhatsApp chatbot! Under the hood, utilise n8n's powerful AI features to handle different message types and use an AI agent to respond to the user. A powerful tool for any use-case! How it works Incoming WhatsApp Trigger provides a way to get messages into the workflow. The message received is extracted and sent through 1 of 4 branches for processing. Each processing branch uses AI to analyse, summarize or transcribe the message so that the AI agent can understand it. The supported types are text, image, audio (voice notes) and video. The AI Agent is used to generate a response generally and uses a wikipedia tool f

How to set it up

  1. Open template #2466 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
  2. Create 2 credentials under Credentials β†’ Add credential: WhatsApp Business Cloud, Google Gemini Chat Model. Then open each of those nodes and pick the credential.
  3. Check the model in the AI Agent node. The template may point at a model your account can't use; swap it for one you have access to.
  4. Click Execute workflow and step through each node's output to confirm the data looks right.
  5. Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "Respond to WhatsApp Messages with AI Like a Pro!" (https://n8n.io/workflows/2466). It uses: HTTP Request, WhatsApp Business Cloud, AI Agent, Basic LLM Chain, Simple Memory, Wikipedia, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

Questions

Yes. Jimleuk published it free on n8n.io as a verified creator, and it has 91K views. It runs on n8n Cloud or a self-hosted n8n instance.

WhatsApp Business Cloud, Google Gemini Chat Model. The other 5 nodes are built into n8n.

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