Categorize and label incoming Gmail emails automatically with GPT-4o mini
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs on Gmail events. Along the way it connects Gmail and OpenAI Chat Model.
How it runs
Trigger: On Gmail events.
- Label Checker Filter (Filter): keeps only the items that match a condition
- Give a Label AI Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Switch: routes items into 7 branches
- Work (Gmail): add labels
- Personal (Gmail): add labels
- Finance (Gmail): add labels
- Shopping (Gmail): add labels
- travel (Gmail): add labels
- Newsletters (Gmail): add labels
- Others (Gmail): add labels
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 Give a Label AI Agent (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
- Also check Gmail Trigger below v1.4 runs as v1.4 (drafts skipped, max emails per poll).
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) Give a Label AI Agent (v1.8) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- Gmail Trigger
n8n-nodes-base.gmailTrigger - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent
@n8n/n8n-nodes-langchain.agent - Filter
n8n-nodes-base.filter - Switch
n8n-nodes-base.switch - Gmail
n8n-nodes-base.gmail
From the author
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