Content Policy Testing → Slack Alert → Document Review
Automatically test AI-generated content against company policies, alert teams when violations are detected, and create review tickets for borderline cases.
Workflow Steps
OpenAI API
Analyze content safety
Use GPT-4 to analyze user-generated content against your company's content policy. Create a prompt that scores content from 1-10 for appropriateness and flags potential policy violations with specific reasons.
Zapier
Filter high-risk content
Set up a filter in Zapier that triggers when the OpenAI safety score is above 7 or contains flagged keywords. This prevents low-risk content from creating unnecessary alerts.
Slack
Send moderation alert
Automatically post flagged content to a dedicated #content-moderation channel with the safety score, flagged reasons, and original content preview. Include quick action buttons for approve/reject decisions.
Notion
Create review ticket
Generate a structured review ticket in Notion with content details, AI analysis, reviewer assignment, and status tracking. Include templates for common violation types and escalation procedures.
Workflow Flow
Step 1
OpenAI API
Analyze content safety
Step 2
Zapier
Filter high-risk content
Step 3
Slack
Send moderation alert
Step 4
Notion
Create review ticket
Why This Works
Combines AI detection with human oversight, creating an efficient pipeline that catches issues early while maintaining quality standards through structured review processes.
Best For
Content platforms and communities that need scalable moderation workflows
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