Software crashes are frustrating.
But they're visible.
AI introduces another category of failure.
The system responds confidently.
The answer appears reasonable.
Nothing seems wrong.
Until someone verifies it.
These silent failures can be more damaging because they create confidence where caution is needed.
That's why AI evaluation can't stop at checking whether the system produced an output.
It also needs to ask:
Was the reasoning appropriate?
Was the behavior within policy?
Was the output reliable?
Would we trust this in production?
Behavioral validation helps teams answer those questions before users have to.
That's why we're building Crucible.
Helping teams detect the failures that don't announce themselves.
Pytest for AI Agents.
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