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Turn a written content policy into a moderation and escalation flow

Extract typed attributes from policy and use deterministic rules for publish/reject/review rather than letting a model decide final action.

Goal

Produce auditable policy checks and a human-review queue for submitted content.

Steps

  1. Have the policy owner define explicit rules/thresholds and use synthetic ad text/images as test cases. [moderation]
  2. Extract typed content attributes and compile the policy into a readable, auditable rule table as shown in the notebook. [moderation]
  3. Use a deterministic rule engine to return publish/reject/review and matched rule IDs; escalate conflicts or uncovered cases. [moderation]

How to verify

Compare rule outcomes with policy-reviewer labels on a labeled set; each decision includes matched rule IDs.

Troubleshooting

Route missing attributes to review conservatively; version rules and retain decision evidence.

Permissions

Prerequisites

Permissions

Limitations

The notebook uses synthetic data and illustrative rules; policy owners must approve real publish/reject actions, and this is not legal judgment.

Pinned upstream source

https://github.com/anthropics/anthropic-cookbook/blob/9c1e493ddd2b82df399d2a61b9c806c539e18be6/capabilities/content_moderation/guide.ipynb

Repository
anthropics/anthropic-cookbook
File path
capabilities/content_moderation/guide.ipynb
Pinned commit
9c1e493ddd2b82df399d2a61b9c806c539e18be6
Source checked
2026-10-14 · Reviewed against the pinned upstream source

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License: MIT

Main topic

Make Agent behavior safer and easier to verify

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