# Can a factually correct answer still get flagged as ungrounded?

Yes. Groundedness checks whether an answer is supported by the context it was given, not whether the answer happens to be true, and those are different questions.

An agent can land on a correct answer using what it already knows, with nothing in the retrieved documents or tool output backing it up. From the classifier's side, that answer has no support to check against, so it fires even though the content is right.

That's not a bug, it's the point. An answer grounded in nothing works right up until the model's prior knowledge is wrong on a similar question, and then it fails the same way, with nothing in the trace explaining why. The classifier can't tell you an answer is false, only that it can't verify it from what the agent actually had in front of it, which is exactly the setup that turns into a confident wrong answer later with no warning.

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Source: https://tessary.ai/answers/tessary-groundedness/can-a-correct-answer-be-flagged-ungrounded
More on Tessary groundedness: https://tessary.ai/answers/tessary-groundedness
From Tessary, agent reliability for AI agents in production: https://tessary.ai