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Simple Expense Tracker with n8n Chat, AI Agent and Google Sheets

n8n template #2819
Use Case It is very convenient to add expenses via simple chat message. This workflow attempts to do exactly this using AI-powered n8n magic! Send message to a chat, something like "car wash; 59.3 usd; 25 jan 2024" And get a response: Your expense saved, here is the output of save sub-workflow:{"cost":59.3,"descr":"car wash","date":"2024-01-25","msg":"car wash; 59.3 usd; 25 jan 2024"} LLM will smartly parse your message to structured JSON and save the expense as a new row into Google Sheet! Installation 1. Set up Google Sheets: Clone this Sheet: https://docs.google.com/spreadsheets/d/1D0r3tun7LF7Ypb21CmbTKEtn76WE-kaHvBCM5NdgiPU/edit?gid=0gid=0 (File -> Make a copy) Choose this sheet into

How to set it up

  1. Open template #2819 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 → Add credential: Google Sheets, OpenAI 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 "Simple Expense Tracker with n8n Chat, AI Agent and Google Sheets" (https://n8n.io/workflows/2819). It uses: Google Sheets, AI Agent, OpenAI Chat Model, Simple Memory, Call n8n Workflow Tool, Information Extractor. 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. Anthony published it free on n8n.io as a verified creator, and it has 11K views. It runs on n8n Cloud or a self-hosted n8n instance.

Google Sheets, OpenAI Chat Model. The other 4 nodes are built into n8n.

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