Voice-controlled expense tracker with Siri, AI and Google Sheets
Needs changesWhat this workflow does
This AI workflow has 9 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenRouter Chat Model and Google Sheets.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- FormatInput (Code): runs custom JavaScript code
- AI Agent: runs an AI agent, with model: OpenRouter Chat Model; 2 tools (Read, Append); memory: Simple Memory
- FormatOutput (Code): runs custom JavaScript code
- Respond (Respond to Webhook): sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- Webhook
n8n-nodes-base.webhook - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Respond to Webhook
n8n-nodes-base.respondToWebhook - Google Sheets Tool
n8n-nodes-base.googleSheetsTool - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Code
n8n-nodes-base.code
From the author
🎯 What It Does: This project lets you talk to Siri (via Apple Shortcuts) and record or query your daily spending. The shortcut sends your message to an n8n Webhook, which uses AI to decide whether it’s for writing or reading finance data, then replies with a…