# Why do a hundred failing traces need to become one thing to look at?

Because they're the same problem, and a hundred alerts for one problem just teaches you to ignore alerts. Every classifier writes one finding per cause, not one per firing: a hundred traces tripping the same pattern collapse into a single row before a case ever opens, keyed on that cause so a repeat doesn't spawn a duplicate finding next to it.

A case then wraps exactly one finding, so what reaches you is one thing to read, with a bounded set of the actual flagged traces attached as evidence rather than paraphrased into a count. You still see the scale of it, but you see it as context on one case rather than as a hundred separate pings you'd have to dismiss one at a time.

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Source: https://tessary.ai/answers/tessary-cases/why-a-hundred-failing-traces-become-one-case
More on Tessary cases: https://tessary.ai/answers/tessary-cases
From Tessary, agent reliability for AI agents in production: https://tessary.ai