When engineers investigate production incidents, they rarely discover a single dramatic failure.
Instead, they uncover a chain of assumptions.
A prompt format that changed.
A tool used in an unexpected way.
A user who behaved differently than expected.
An integration that returned something no one anticipated.
AI systems make these assumptions even more important because they're designed to operate in unpredictable environments.
That's why behavioral testing isn't just about finding bugs.
It's about exposing assumptions.
Every assumption you validate before deployment is one less surprise in production.
As AI becomes more autonomous, engineering teams will spend less time asking whether an AI works and more time asking what assumptions it's making.
That's where better testing makes the difference.
That's why we're building Crucible.
Pytest for AI Agents.
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