Video course · 9 chapters · 38 min · certificate
Automate Customer Support: Build an AI Agent in n8n
Build a customer support AI agent in n8n that answers visitors, remembers the conversation, logs leads to Google Sheets and books meetings in Google Calendar, then publish it.
What you'll learn
- Set up an n8n chat trigger
- Configure an AI agent with a chat model
- Add memory for multi-turn conversations
- Give the agent tools: code, Sheets and Calendar
- Log leads to Google Sheets
- Test and publish the support agent
Chapters
9 chapters · 37:48-
1:25
01Intro Members
What we're building
A customer support agent that answers customers when you're not around.
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1:39
02Setup Members
The chat trigger
Configuring the chat trigger in hosted mode, without authentication, with a welcome message.
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4:11
03Agent Members
The AI agent node
Choosing the AI agent node over a simple model node because it can use tools and do deeper work.
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1:11
04Model Members
The chat model
Connecting an OpenAI chat model to the agent with your account credentials.
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2:25
05Memory Members
Adding memory
Giving the agent memory so it remembers earlier questions in the same conversation.
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3:13
06Tools Members
A code tool
Supplying tools the agent can call, starting with a code tool.
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9:19
07Sheets Members
Logging leads in Google Sheets
Having the agent collect customer details and write them to a Google Sheet.
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6:24
08Calendar Members
Booking with Google Calendar
Adding a Calendar tool so the agent can book meetings, only when the user asks.
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8:01
09Launch Members
Test and publish
Testing the full agent and publishing it so customers can chat with it.
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