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When an AI Agent Makes a Mistake in Production, Which Layer Should Stop It?
A familiar production failure looks like this: an AI support agent reads a ticket, decides the customer deserves compensation, calls the refund tool, and refunds the full annual subscription instead of the $12 add-on. The model did not crash. The API did not throw an exception. The tool worked exactly as designed.
The postmortem usually starts with the wrong question: βHow do we stop the model from making bad decisions?β
The better question is: which layer should have stopped the mistake ...
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