Anthropic trains Claude to review its own conversations for misuse

A post-response self-assessment adds another safety layer to Claude, designed to catch attacks that slip past real-time defenses Anthropic has taught Claude to look back over a conversation after it responds and judge whether someone may be trying to misuse it. The idea is that the model gets a second look at every exchange. Real-time filters still try to block bad requests up front. This new check asks a different question once the answer is already out: was that a trick? How the self-assessment works The feature runs as a post-response evaluation. Claude finishes answering, then produces a short internal assessment of whether the conversation shows signs of potential misuse. The assessment does not interrupt the user. Nobody sees a pop-up or a sudden refusal mid-chat. Flagged interactions are instead routed for offline review by humans. The feature applies to all Claude models released since the Fable 5 wave in June 2026. It is also cheap to run. Each assessment adds approximately 10 tokens, and the feature adds less than 2% to inference costs. For anyone unfamiliar with the jargon, tokens are the small chunks of text that AI models read and write. Inference is the compute spent ...