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1 published

AI in operations

Real incidents, real diagnostic bundles, the same agent and tools for every model, and a blind judge panel scoring each answer against the human root cause. The scoring rule is fixed before the run. The data stays private; the report, its figures and every printed number are public.

AI in operations01L2 (hypothesis, pre-registered analysis)

Putting an agent on the incident queue: what I measured before I trusted it

I run Applied AI and Support at Yugabyte. Both halves of that title report to the same outcome: how well, and how soon, we help a customer who needs us. So when we put an AI agent in front of the support engineers, the question was never "which model scores highest". It was: can an engineer act on what this agent says, how often will it cost them time, and can we tell in advance.

Published
Figures
10 figures