July 21, 2026
Aaron Levie said Build for how the world should work. Almost three decades of implementations continue to point to the missing step — build for how it really works, before a court calls it a design output.
July 20, 2026
McKinsey documents in luxury what this archive has recorded since 2004: where intent is first interpreted decides everything downstream. The physics never changed.
July 19, 2026
In 2011, every major forecaster drew the same cloud curve — and they were right. Almost none of them charted the line underneath: how much of it organizations actually absorbed. That gap is the whole story, and we're drawing the same picture now for AI.
July 18, 2026
"When a technology's promised value runs late, organizations reach for the tangible instead of the operating model. A pattern worth watching in AI."
July 18, 2026
"Gartner just named "AI sprawl" a top 2026 priority. We've seen this fever before — and the treatment on offer is the one that failed last time."
July 17, 2026
Nadella, Rousseau and Cotelli all say your AI edge is your knowledge. True — but you only pay for intelligence twice if you never kept your own receipts.
July 16, 2026
"Why Phase 0™ is integral to AI implementation and governance success"
July 15, 2026
"If AI killed consulting, why did the AI companies just hire the consultants? Because adoption was never a software problem — and the receipts go back to 1998."
July 14, 2026
"Which AI model is best?" was always the wrong question. So is "how do we govern AI?" The real question of the agentic era: is your AI governance independent enough to keep the organization's governance honest?
The Theory of Constraints Optimizes the System You Give It. Invariant Physics™ Asks Whether It’s the Real One.
July 21, 2026
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The Theory of Constraints reasons brilliantly — once the system is characterized. The question that decides the outcome sits one step upstream: is the model the operating reality, or the process people are willing to describe?