In software engineering, deployment is rarely based on a single signal.
Code is reviewed.
Tests pass.
Builds succeed.
Quality gates are met.
Those checks give teams confidence before a release reaches users.
AI systems deserve the same discipline.
A working demo doesn't necessarily mean a production-ready agent.
An AI agent can still be vulnerable to prompt injection.
It can misuse tools.
Its behavior can drift after new prompts or integrations.
That's why deployment should be treated as something an AI system earns.
Through repeatable validation.
Through measurable security testing.
Through continuous behavioral evaluation.
The goal isn't to slow innovation.
It's to ensure innovation reaches production with confidence.
That's the philosophy behind Crucible.
Helping teams replace assumptions with evidence before deployment.
Pytest for AI Agents.
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