A publication on metric integrity
Every enterprise data platform has a layer for the plumbing and a layer for the definitions. Almost none have a layer for confidence.
The truth layer is a machine-readable confidence layer that sits between your data platform and your decisions, scoring whether a metric can be trusted right now, by humans and AI agents alike.
Built and written by Justin Nixon. Twenty years building governance infrastructure that makes enterprise data trustworthy enough to act on.
Field note
“Trust is built by humans, consumed by machines.”
Justin Nixon, from the commute notes
Latest launches
One a week. Each is an essay for the deep read and an interactive page for the hands-on version.
23 Sep 2026·Grading Itself
One trust score read by two different sets of constants, the thresholds a deployment published and the bands the grading path actually used. Drag a score into the gap and watch an agent that obeyed its contract get recorded as wrong.
9 Sep 2026·The Method
Twenty-six weeks of daily sessions with an AI that could not see the work it was helping with. I expected half the rules to vanish when I fixed that. I counted. The rules stayed. The machinery went.
2 Sep 2026·Reaching the Surface
Agent infrastructure got very good this year at guaranteeing that an action ran the way it was meant to. Nothing in it asks whether the number the action was based on deserved to be acted on.
