Moderate User Content → Flag Issues → Update Guidelines
Automatically screen user-generated content for policy violations, flag problematic submissions, and maintain updated community guidelines based on emerging patterns.
Workflow Steps
OpenAI API
Analyze content for policy violations
Use OpenAI's moderation endpoint to automatically scan text, images, or chat messages against your content policy. Configure custom prompts to identify specific violations like inappropriate content, spam, or harassment.
Airtable
Log flagged content and violations
Create records for flagged content with violation type, severity score, user ID, and content snippet. Set up views to prioritize high-severity violations and track patterns over time.
Zapier
Trigger escalation workflows
When high-severity violations are detected, automatically notify moderators via Slack, create support tickets in Zendesk, or temporarily restrict user accounts based on your escalation rules.
Notion
Update community guidelines database
Maintain a living document of guidelines that automatically updates based on new violation patterns. Track policy changes, effective dates, and enforcement statistics to improve your moderation approach.
Workflow Flow
Step 1
OpenAI API
Analyze content for policy violations
Step 2
Airtable
Log flagged content and violations
Step 3
Zapier
Trigger escalation workflows
Step 4
Notion
Update community guidelines database
Why This Works
Combines OpenAI's advanced content understanding with structured data management to create a scalable moderation system that learns and adapts to new policy challenges.
Best For
Community platforms, social apps, or any service with user-generated content
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