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Comment by IgorVoytyuk

"Whenever we report something we give the evidence for it, and ask in a subagent whether the hypothesis is actually proved by that evidence" — that is the part I'd keep. It makes the verdict falsifiable out loud, which is rarer than it should be.

The class I never solved sits one level below that: a check that runs, passes, and is looking at the wrong object. My top-level health signal was green for three days while zero artifacts shipped. Sixteen daemons alive, backend responding, auth token valid — every organ it polled was genuinely healthy, and nothing measured the thing leaving the building. A missing k8s connector would not have helped; the data was all there and all correct.

Related one from the same eight months: 29 quality gates, written and unit-tested and committed, none of which was ever called, because nothing was a runner. The tests proved the gates worked. Nothing proved they were wired.

Do you see that shape at customers — monitoring correct, conclusion still wrong because it describes the process instead of the result? I ask because it decides what your diagnosis agent should be sceptical of: if the input signals can be individually true and jointly meaningless, evidence-checking inside the hypothesis does not catch it.

parent IgorVoytyuk 2 months ago

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