Ormedian Labs journal
Practical notes on the evidence behind AI systems: how to evaluate them, trace decisions, plan monitoring, and make assurance part of the release process.
A practical guide to the EU AI Act's current timetable and to keeping technical documentation, logs, and monitoring evidence connected to each AI system release.
How to treat evidence like a build output: versioned packs, diffs between releases, and lightweight sign-off.
A pragmatic checklist you can adopt this week without a compliance department or a new platform.
A checklist of provenance artifacts that make results reproducible and evidence defensible before you need them.
The smallest set of production signals that catch real failures early without building a monitoring cathedral.
A practical definition of an Assurance Pack, what goes inside, and how it keeps evidence current as systems change.
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