Four Silent Failures From Putting Models in the Data Path

mail@carlosprados.com (Carlos Prados) — Fri, 31 Jul 2026 09:00:00 +0200

I assumed the models would be the hard part. They weren’t.

For the last few months I’ve been building a suite of inference services that score data inline as it arrives: models trained from data the system already collected, scoring on the way in, the verdict landing as ordinary fields next to the measurement. Not an API you call beside the pipeline — inside it. On CPU, milliseconds per document, which is what makes the arrangement thinkable at all.

Anomaly-Detection on EnRedAndo Me - Carlos Prados

Four Silent Failures From Putting Models in the Data Path