This n8n workflow automates the process of managing and categorizing emails in Gmail through AI-powered label assignment. It periodically fetches emails, analyzes their content, and assigns relevant labels, streamlining email organization. Key components include scheduled triggers, email retrieval, data extraction, AI-based categorization, label management, and condition-based processing. The workflow ensures all incoming emails are systematically categorized without manual intervention, enhancing productivity and email management efficiency.
The process begins with a schedule trigger activating every two minutes, prompting the system to fetch recent emails from Gmail. Each email is then processed individually: its details are extracted, and the content is sent to an OpenAI model configured with a custom prompt that identifies the most appropriate label from a predefined list. The AI’s output is stored, and the workflow checks if the corresponding label already exists in Gmail. If not, it creates a new label. It then verifies whether the email already has the label assigned, and if not, adds the label accordingly.
An essential feature of this workflow is the filtering step that excludes emails with certain predefined labels, preventing unnecessary re-labeling or processing. Overall, this setup creates an intelligent, self-sufficient email labeling system useful for managing large volumes of emails, prioritizing important messages, and maintaining organized inboxes with minimal manual effort.
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