I work on keeping AI agents cheap and reliable in production — token cost (FinOps), evals, and MCP tooling. I write up what actually breaks when agents run for real: runnable code, real numbers, hones
Work
Independent — AI agent operations (FinOps & reliability)
Population over threshold is right, and it fixes a real failure. The place I would not let it stand alone is that a fleet baseline is blind to exactly the thing that moves the whole fleet. A provider tokenizer bump and a provider that quietly stops emitting usage frames for everyone look identical from inside the population: a step every stream takes together. Relative anomaly detection reads that as the new normal, re-baselines, and goes quiet at the moment the accounting actually broke. So a fleet-wide step should not silently re-calibrate. It should freeze the baseline and raise its own class, RECALIBRATE rather than BLOCK: no single stream is guilty, the measurement contract changed, and a pinned changelog or a human has to say which. Suppression that is broad enough looks like a version bump, and nothing inside the population separates them.
The second hole is the slow one. A rolling baseline adapts, so any suppression that grows slower than the adaptation window never diverges from the fleet, it just walks the fleet with it. Boiling frog. That argues for two anchors instead of one: the rolling baseline for sharp per-stream divergence, which catches a single account being squeezed, and a frozen epoch, a pinned tokenizer version plus a baseline snapshot taken at a known-good date, for absolute drift, which catches everyone being squeezed slowly. The rolling signal survives the provider changing the rules. The frozen anchor is the only thing that tells you the rules changed at all.
And where there is no fleet, the single-account indie stream, the population can be manufactured cheaply. A canary request with deterministic input, replayed on a schedule, is a population of one whose expected delta you actually know. Canary moves and production moves: the provider moved. Production moves and the canary holds: that one is yours. To be straight about status, this is a design argument and not something I have measured. The re-tokenized floor I have run. The fleet-versus-canary discrimination I have not.
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Population over threshold is right, and it fixes a real failure. The place I would not let it stand alone is that a fleet baseline is blind to exactly the thing that moves the whole fleet. A provider tokenizer bump and a provider that quietly stops emitting usage frames for everyone look identical from inside the population: a step every stream takes together. Relative anomaly detection reads that as the new normal, re-baselines, and goes quiet at the moment the accounting actually broke. So a fleet-wide step should not silently re-calibrate. It should freeze the baseline and raise its own class, RECALIBRATE rather than BLOCK: no single stream is guilty, the measurement contract changed, and a pinned changelog or a human has to say which. Suppression that is broad enough looks like a version bump, and nothing inside the population separates them.
The second hole is the slow one. A rolling baseline adapts, so any suppression that grows slower than the adaptation window never diverges from the fleet, it just walks the fleet with it. Boiling frog. That argues for two anchors instead of one: the rolling baseline for sharp per-stream divergence, which catches a single account being squeezed, and a frozen epoch, a pinned tokenizer version plus a baseline snapshot taken at a known-good date, for absolute drift, which catches everyone being squeezed slowly. The rolling signal survives the provider changing the rules. The frozen anchor is the only thing that tells you the rules changed at all.
And where there is no fleet, the single-account indie stream, the population can be manufactured cheaply. A canary request with deterministic input, replayed on a schedule, is a population of one whose expected delta you actually know. Canary moves and production moves: the provider moved. Production moves and the canary holds: that one is yours. To be straight about status, this is a design argument and not something I have measured. The re-tokenized floor I have run. The fleet-versus-canary discrimination I have not.