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AI Readiness
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We are measuring more AI. Are we measuring what matters?
What Databricks' experience with its own coding agents reveals about the next measurement problem in enterprise AI
Aug 18
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A.I.N.S.T.E.I.N.
The Marble and the Statute
Colorado repealed its AI law before it ever took effect. What the law was written to measure did not move at all.
Aug 11
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A.I.N.S.T.E.I.N.
The Leaderboard and the Meter
What happens when the only number an organization can see is the one on the invoice.
Aug 4
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A.I.N.S.T.E.I.N.
July 2026
The Quiet Bird
A gauge with no one watching it is a bird in a cage on an empty hook.
Jul 28
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A.I.N.S.T.E.I.N.
Two Towns and One Bridge
A true number is not the same as a safe one, and the difference is a person standing in the gap between them
Jul 21
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The Jeweller Who Gave You a Number
Trust is not the same quantity as accuracy, and a great deal of harm lives in the gap between them.
Jul 15
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Measuring What Matters: When the "What" Is Trust
We measure everything our AI does. We rarely measure whether anyone trusts it. A researcher's look at why that gap exists, and what it would take to…
Jul 7
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A.I.N.S.T.E.I.N.
Awareness Is Where It Starts, It Is Not Where It Ends
Why AI readiness lives or dies on the one discipline most organizations skip: measurement.
Jul 1
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A.I.N.S.T.E.I.N.
June 2026
The Database That Was Never Supposed to Be Touched
What a coding assistant’s twelve days inside a live system tells us about the one question most organizations cannot answer
Jun 24
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The Friday the Model Went Dark
Whether it comes back doesn't matter. That it could happen at all should change how you build.
Jun 16
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Who Decides When Your AI Is Wrong?
The nH Predict case isn't a story about a greedy insurer. It's a warning about the seat you put your AI in
Jun 10
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A.I.N.S.T.E.I.N.
The Ringmaster Problem
Why more AI should mean more humans, not fewer, and what the Starbucks case should have taught us about human-machine amity.
Jun 2
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A.I.N.S.T.E.I.N.
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