# What is Tessary's groundedness classifier?

It's a built-in classifier that checks, for every LLM call in a trace, whether what the agent said is actually supported by the context it was given. It runs at negligible per-event cost on every trace, the same as Tessary's other built-in classifiers, so nothing needs to be sampled to catch it.

What makes it worth having is the shape of failure it targets: an answer that asserts something its context doesn't support while reading as fluent and confident. That's the hallucination that's hard to catch by eye, because nothing about the sentence looks wrong.

A flag becomes a finding, not an alert. Triage rules on whether it's a real issue, and an ungrounded claim that keeps recurring becomes one case with the triggering traces attached, instead of a pile of separate flags nobody can act on.

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Source: https://tessary.ai/answers/tessary-groundedness/what-is-tessarys-groundedness-classifier
More on Tessary groundedness: https://tessary.ai/answers/tessary-groundedness
From Tessary, agent reliability for AI agents in production: https://tessary.ai