Automated Discord Spam Moderation Workflow

This n8n workflow automates the detection and moderation of spam messages in Discord channels using AI-powered classification, grouped message analysis, and human-in-the-loop decision making. The process begins with a scheduled trigger that periodically fetches recent Discord messages, filtering out duplicates to ensure each message is processed only once. Messages are then grouped by user to optimize moderation efforts.

Using an AI text classifier node, the workflow assesses if messages are spam based on customizable categories such as promotional content. When spam is detected, a notification with message details is sent to a dedicated moderation channel, employing ‘send and wait’ mode. Moderators can then select predefined actions (delete messages, warn users, or take no action) via interactive forms.

Depending on moderator decisions, the workflow can delete flagged messages in bulk, warn users directly within Discord, or perform no action. The use of subworkflows allows asynchronous processing and prevents blocking of the main loop, facilitating efficient moderation even during high message volume periods. This setup is ideal for communities seeking automated yet controlled moderation, balancing AI detection with human oversight.