Content Moderation Bot

The Problem

User-generated content is a liability until it's reviewed. Traditional moderation catches obvious spam and slurs, but struggles with context-dependent violations, coordinated campaigns, and content that's technically within the rules but clearly gaming them.

Manual review doesn't scale. Outsourced moderation teams lack context about your community norms. And on-submit filters only see one post at a time — they can't detect patterns across users or time.

What the Agent Does

• Policy enforcement: flag violations, spam, and toxic content against your specific community guidelines
• Escalation with context: route flagged content to human reviewers with surrounding conversation, user history, and similar past decisions
• Feedback loop: learn from reviewer decisions to improve accuracy over time
• Multi-language support: moderate across languages without separate tooling per locale
• Pattern detection: identify coordinated abuse, brigading, and evasion tactics that single-post filters miss

What Makes This Different

The agent doesn't just check posts at submission time. It runs continuously across your properties — blogs, forums, comment sections — watching for patterns that only emerge over time. A single borderline post might pass. But the agent notices when the same talking points appear across twenty accounts in an hour.

It also adapts. When your reviewers override a decision, the agent learns from it. Your moderation policy evolves with your community, not against it.

Getting Started

Connect your content platforms, define your community guidelines, and let the agent start monitoring. It'll build a baseline of normal activity within days and begin surfacing the things that need human eyes.