Smart Gmail Labeling Automation with Text Classifier and GPT-5

Description

What this workflow does This workflow automatically organizes your Gmail inbox by fetching recent emails, analyzing their content with AI, and applying the appropriate Gmail labels based on the results. Step by step: Schedule Trigger runs the workflow automatically at your chosen interval Gmail Fetch retrieves the latest emails from your inbox Loop Over Items processes each email individually AI Text Classifier analyzes email subject and body content to determine the right category Add Labels applies the matching Gmail label according to the AI classification Loop Back continues until all emails are processed and organized How to set up Connect your Gmail account to the Gmail nodes for fetching emails and adding labels Add your OpenAI API key to the OpenAI Chat Model node for AI-powered classification Configure the schedule trigger to run at your preferred interval (default: every 5 minutes) Customize email categories in the Label Classifier node based on your organizational needs Set up Gmail labels that match your classification categories in your Gmail account Adjust the time range for fetching emails (default: last 5 minutes) and email limit (default: 10) Test the workflow with a few sample emails to ensure proper classification and labeling Monitor the workflow execution to verify emails are being processed and labeled correctly How to customize this workflow to your needs Adjust classification categories**: modify the Label Classifier node to include categories like "Work", "Bills", "Social", "Newsletters", or any custom categories you need Change time intervals**: customize the schedule trigger to run hourly, daily, or at specific times based on your email volume Add more label actions**: create additional Gmail label nodes for more granular categorization (urgent, follow-up, archive, etc.) Need help customizing? Contact me for consulting and support: 📧 billychartanto@gmail.com. An n8n automation workflow template by Billy Christi.

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• 3 nodes
• 15 views