Screen user-submitted content for policy violations with AI

This checks user posts and comments against your policies and flags anything that needs human review.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig>"content is submitted"]:::trig s0["ai checks against policies"]:::task s1["assess severity level"]:::task trig --> s0 s0 --> s1 gx{"× how severe is the violation"}:::gate s1 --> gx p00["handled automatically"]:::task gx -->|"low risk"| p00 p10["sent to human moderator"]:::task gx -->|"high risk"| p10 p00 --> out p10 --> out out[/"moderated content with review queue"/]:::out pay{{"moderate at scale without more staff"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepOne path onlyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsSocial Media Management
Connects
Claude
Featured in

The problem it solves

Reviewing every post, comment, or listing on your platform by hand doesn't scale once you have any real volume of users. Letting violations slip through hurts trust, but reviewing everything manually is a full-time job on its own.

Who it fits

A social platform, online community, or marketplace that needs to moderate user-generated content.

How it works

  1. New content comes in through a submission endpoint
  2. AI checks the content against your policies for violations
  3. A second check decides how severe the issue is and what action fits
  4. Low-risk content is handled automatically
  5. High-risk content is sent to a human moderator for review
What you get

Harmful posts caught before anyone sees them

Flagged content gets a fast first look so problems are caught before they spread across your community.

What you get

Consistently moderated content, with a clear queue of edge cases for human review.

What you need

An Anthropic Claude API key and access to your content moderation systems.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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