Automated Gmail Labeling with AI Classification

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This n8n workflow automates the organization of incoming Gmail emails by automatically classifying and labeling them using AI. It combines Gmail triggers, AI-powered content analysis, and label application, providing an efficient solution for managing large volumes of emails without manual effort. The process begins with a Gmail trigger that detects new emails, filters out already labeled messages, and sends the unprocessed emails to an AI agent powered by GPT-4o mini. The AI analyzes the email content, subject, and sender, then outputs a suitable category in JSON format. A switch node routes the message to the appropriate label, which is then applied to the original email in Gmail. This workflow is ideal for teams or individuals receiving high email traffic and needing automated sorting for better inbox management.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, filter, gmail, gmailTrigger, stickyNote, switch

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