Large language models are often judged by their responses.
AI agents should also be judged by their actions.
What tool did they choose?
Did they access the correct data?
Did they follow policy?
Did they modify memory appropriately?
Did they stop when they should have?
As AI systems gain autonomy, evaluating actions becomes just as important as evaluating language.
Engineering teams need visibility into both.
Because users don’t experience probabilities.
They experience outcomes.
That’s why we’re building Crucible.
Helping teams validate AI actions before they become production incidents.
Pytest for AI Agents.
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