Create an AI Content Moderation Agent
Design an AI agent that reviews user-generated content (comments, reviews, posts) for policy violations, flags inappropriate content, and auto-removes clear violations.
Build an automated content moderation system that scales with community growth while maintaining consistent policy enforcement.
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Prompt objective
Build an automated content moderation system that scales with community growth while maintaining consistent policy enforcement.
Real use case
An online marketplace with 10,000 daily user reviews and comments can't manually moderate fast enough. Harmful content stays visible for hours, damaging trust.
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Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.
Prompt
Act as a trust and safety engineer. Design an AI content moderation agent for [PLATFORM NAME] handling [NUMBER] pieces of user-generated content per day. **Context:** - Content types: reviews, comments, forum posts, [OTHER] - Languages: [LANGUAGE 1], [LANGUAGE 2] - Moderation policy: [LINK/DESCRIPTION] - Current moderation team: [NUMBER] human moderators - Target review time: under [MINUTES] minutes **Deliverables (numbered):** 1. Agent architecture: content ingestion, multi-model analysis (toxicity, hate speech, spam, PII, NSFW), confidence scoring, and action routing 2. Policy rule mapping: translate [COMPANY] moderation policy into specific detection rules with examples for each violation category 3. Action tiers: - Auto-remove: confidence > [PERCENTAGE]% for clear violations (hate speech, PII, spam) - Flag for review: confidence [PERCENTAGE]%-[PERCENTAGE]% or ambiguous cases - Auto-approve: confidence > [PERCENTAGE]% clean 4. Context awareness: handle sarcasm, quoted content, cultural nuances, and platform-specific slang; maintain per-user history for pattern detection 5. Appeal process: user notification of removed content with reason, appeal form, human review queue for appeals, and reversal workflow 6. Moderator dashboard: queue of flagged content with AI reasoning, one-click approve/remove, batch actions, and moderator performance metrics 7. Continuous improvement: track false positive/negative rates, collect moderator corrections, retrain/update rules monthly **Constraints:** - Must log all moderation decisions with reasoning for audit - Must handle edge cases (satire, educational content, news quotes) - Must support multiple languages with appropriate models per language
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How to use this prompt
- 1Replace the key placeholders first: PLATFORM NAME, NUMBER, OTHER, LANGUAGE 1.
- 2Replace any bracketed placeholders like [this] with your own context.
- 3Add extra background information when you want more tailored results.
- 4Combine multiple prompts in one conversation when you need a richer output.
- 5Save your best-performing prompts so they are easy to reuse later.
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