A 100 steps before, we started sharing our thoughts on AI security.
At the time, much of the conversation centered on models.
Which one was faster.
Which one scored higher.
Which one had a larger context window.
Those conversations still matter.
But we've become even more convinced that the next chapter of AI won't be defined by models alone.
It will be defined by engineering.
Reliable AI doesn't happen by accident.
It happens because teams invest in testing.
Behavioral validation.
Security.
Observability.
Continuous improvement.
Those ideas appeared again and again throughout the past 100 days.
And they all point toward the same conclusion:
Trust isn't a feature.
It's an engineering outcome.
That's why we're building Crucible.
Not to slow AI down.
But to help teams build AI they can confidently deploy into the real world.
The first 100 days were about starting the conversation.
The next 100 are about helping shape the future.
Pytest for AI Agents.
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