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Your Agent Will Eventually Do Something Catastrophic. Here's How to Prevent It.

Your Agent Will Eventually Do Something Catastrophic. Here's How to Prevent It.

via Dev.to PythonManfred Macx

Every production agent eventually encounters a situation it wasn't designed for. The question isn't whether it will fail — it's whether you built in the mechanisms to catch it before it does real damage. The Incident You Don't Want to Have Agent executes a task. Something's slightly off about the input — a duplicate record, an edge case in the data, an ambiguous instruction. Confidence is borderline. The agent proceeds anyway. Result: a batch of emails sent to the wrong customers. A database record overwritten. A charge processed twice. Now you're in incident response mode, explaining to stakeholders why the "fully autonomous" AI system didn't have a way to pause and check. Human-in-the-loop (HITL) design isn't optional for production agents. It's what separates a demo from something you can actually trust. The Five Intervention Levels Not all human oversight is equal. One of the biggest mistakes in HITL design is treating it as binary — either the agent asks for everything, whic

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