Step-By-Step: Build Your Customer Service AI Agent

Let's build a customer service AI agent that can search a knowledge base and handle real Shopify orders. It takes about 15 minutes.

First let’s diagram what we’re going to build:

Watch the diagramming demo video on YouTube

Then the actual AI agent building set-by-step in n8n so you can learn how to do it.

Watch the agent building demo on YouTube

What We're Building

An agent that answers questions from your support docs, adds notes to orders, and can even cancel orders and process refunds. All through normal conversation.

How We'll Set It Up

We'll use n8n with Claude Sonnet 4.5 and connect two dtc.sh MCP servers.

The first one handles your knowledge base. You give it your support docs and it breaks them into searchable chunks. When customers ask questions, it pulls just the relevant parts instead of loading everything at once.

The second one connects to Shopify. It can run GraphQL queries and look up Shopify documentation on its own.

The Demo

In the video, you'll see a test order get placed and then watch the agent handle customer requests.

First test: asking it to add a note to an order with just an email (no order number). It finds the order, asks what note to add, and updates it in Shopify.

Second test: asking about the cancellation policy. It searches the knowledge base and explains everything.

Then telling it to cancel the order. It cancels it, refunds the money, restocks the item, and archives the order. All automatically.

The agent makes decisions about which tools to use based on what you ask. It's not following a script.

You can see all of this happening in real time in the video. You'll see the n8n setup, the tool calls, and Shopify getting updated after each action.

If you want to build something like this for your store, the video walks through everything you need.

Any questions? Reply to this email or DM Bora on LinkedIn.