Knowledge base
What are evals and guardrails?
Evals measure whether AI output is right; guardrails guard the boundaries within which a system may act.
Definition
In one paragraph.
Evals measure whether AI output is right: tests and samples that show whether the system does what it should, also after a change. Guardrails guard the boundaries within which the system may act. Together they make the difference between something that works in the demo and something that keeps working in production.
Why it matters.
Measuring instead of hoping
AI generates faster than people can check; without evals you notice mistakes only when a customer does.
Boundaries that move along
Guardrails are not a brake but a crash barrier: they make speed safe.
The question that counts
Not whether the model makes mistakes, but whether your process catches them.
We wrote a full dossier on it, with worked examples. Read Trust & Verify
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