SafetyGuide5 min

Build a moderation pass for user-generated content

How to add a moderation checkpoint before AI-assisted workflows publish, send, or store risky content.

Real example

Example: moderate AI-assisted marketplace listings

A marketplace lets sellers generate better product descriptions from rough notes. Some notes include prohibited claims or unsafe content.

Run moderation before publishing and again after AI rewriting if the generated copy changes risk. Block, request edits, or route to review based on policy severity.

The AI improves seller productivity without increasing unsafe published content.

Tutorial path

How to implement it

Step 01

Identify workflow moments that publish, email, notify, or expose content to other users.

Step 02

Classify content risk before those actions execute.

Step 03

Block, request edits, or route to review based on severity and business policy.

Step 04

Keep moderation logs minimal and avoid storing sensitive text longer than needed.

Step 05

Test the blocked-path UX as carefully as the happy path.

Checklist

Ready when these are true

Irreversible actions gated

Risk categories defined

Review path exists

Sensitive logs minimized

Blocked UX tested

Field notes

What matters in practice

Moderation is strongest when it happens before irreversible actions.

User content, model-generated content, and tool outputs can each need different checks.

A blocked action should produce a useful safe next step.

Avoid these mistakes

Common failure modes

Do not moderate only the user input and ignore generated output.

Do not store sensitive rejected content longer than needed.

Do not give users a dead end when content is blocked.

Practical tip

Moderation should have product states: allowed, needs edits, needs review, and blocked.

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