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Truth Is Believing. Accuracy Is Knowing.
The Foundations Don’t Change: From Kraft to Kraft Heinz
July 6, 2026
Kraft Heinz is relearning a lesson the archive recorded in 2009.
Posted in: Commentary
The Agents Changed. The Orchestration Didn’t.
July 6, 2026
It was never an AI architecture. AI just became the latest agent.
Posted in: Commentary
Not Found by Accident: What a Contemporaneous Archive Looks Like
July 4, 2026
A direct line of relevance from 2007 to 2026, and beneath it, the record that earned it.
Posted in: Commentary
The Post That Should Have Been Forgotten
July 4, 2026
It had every reason to disappear — an obscure title, a term I'd never heard, and almost no reaction when I published it. Nineteen years later it's the second most-read piece I've ever written. Here's the honest answer to why.
Posted in: Commentary
The ProcureTech Providers Most at Risk
July 3, 2026
"Which providers are yesterday's Blockbuster and which are tomorrow's Netflix?"
Posted in: Commentary
The Best AI Is a Panel That Can Intelligently Disagree
July 3, 2026
The industry keeps asking which AI model is best. It's the wrong question. The best AI isn't a model at all — it's a panel that can intelligently disagree, and a human who knows how to resolve it.
Posted in: Commentary
Automation and Efficiency Are Not the Same Thing
July 1, 2026
Automation makes a process faster. That's all it does — and faster is only better if the process was right to begin with. A response to a question worth sitting with from Tanya Seda.
Posted in: Commentary
What Counts as a Receipt
July 1, 2026
"'Receipts' gets used loosely. Here's the actual standard — and two records that meet it, one produced this week and one kept for twenty-five years."
Posted in: Commentary
Everyone Stops at the Boundary. The Work Happens in the Seam.
June 29, 2026
"To succeed with an AI initiative — or any initiative — you have to live in the seam."
Posted in: Commentary
Until Proven Otherwise: The Lens for Sustainable AI Adoption
July 6, 2026
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Implementation Physics™ and Invariant Physics™ are, until proven otherwise, the lenses through which we should view sustainable and effective AI adoption and ongoing integration.