AI systems don't behave like traditional software.
Two identical requests can produce different responses.
That flexibility is often a strength.
But it also creates a challenge.
Engineering teams still need confidence.
Confidence that policy holds.
Confidence that tool usage remains safe.
Confidence that updates haven't introduced regressions.
That means testing must focus on behavioral expectations rather than identical outputs.
The goal isn't forcing AI to be deterministic.
It's making validation deterministic.
That's why we're building Crucible.
Helping teams continuously verify AI behavior through repeatable engineering workflows.
Pytest for AI Agents.
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