Link Submissions → Quality Score → Auto-Moderate Community
Automatically evaluate submitted links for quality and relevance, then approve, flag, or reject them based on AI-powered scoring to maintain community standards.
Workflow Steps
Zapier
Capture new link submissions
Monitor your discussion platform for new link submissions using webhooks or platform APIs. Capture the URL, submitter info, post content, and any community tags or categories applied.
ChatGPT API
Analyze link quality and relevance
Send link and context to ChatGPT with criteria for your community standards. Request scoring on relevance (1-10), content quality, spam likelihood, and safety. Include reasoning for each score and overall recommendation (approve/review/reject).
Zapier
Apply moderation rules
Use conditional logic based on AI scores to automatically approve high-quality submissions (8+ score), flag medium ones (5-7) for human review, and remove obvious spam (below 5). Send notifications to moderators for flagged items.
Discord/Slack
Update community and notify moderators
For approved links, publish to the appropriate channel with quality badges. For flagged content, move to a moderation queue and notify human moderators via DM with the AI's reasoning and recommended action.
Workflow Flow
Step 1
Zapier
Capture new link submissions
Step 2
ChatGPT API
Analyze link quality and relevance
Step 3
Zapier
Apply moderation rules
Step 4
Discord/Slack
Update community and notify moderators
Why This Works
Combines AI judgment with human oversight to handle routine moderation tasks automatically while escalating edge cases, dramatically reducing moderator workload without sacrificing quality.
Best For
Community moderators managing high-volume link sharing platforms who need to maintain quality while scaling
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