The archive
Articles
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Closing the Loop: Google Just Validated Deterministic Code in the Loop
Did Google's TensorFlow-to-JAX migration validate the deterministic code in the loop pattern?
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Checking the CTO Advisor Track Record
Can The CTO Advisor's frameworks be verified against a public track record?
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Operationalizing AI TRiSM: A CTO Advisor Field Guide
How do you turn Gartner's AI TRiSM from approval language into an operating reality?
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The Industry Is Watching GPU Prices. Google Just Moved the Fight to the Judgment Layer.
If Google Cloud Next was all remixes and no new products, why did it matter?
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Auditable Authority: When AI Can Advise, and Who Should Decide
Where should decision authority sit when AI enters an enterprise workflow?
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I Just Wanted Endpoints
Why can't I just get inference endpoints from my own AI hardware?
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Layer 1A Is Table Stakes. The Real AI Infrastructure Question Is Above It.
If every storage vendor passes the Layer 1A checklist, what should I actually evaluate?
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One Problem, Five Frameworks: Why Enterprise AI Stalls — and How to Fix It
Why does enterprise AI stall between pilot and production?
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Case Study: Decision Authority Drift in an AI-Assisted Writing Workflow
What happens when an AI model gets more capable but its authority boundaries don't change?
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You Know What’s Dumb? Using AI When It’s Not Needed.
When is using AI actually the wrong architectural call?
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You Don’t Start Your AI Journey With Nvidia
Should we start our enterprise AI buildout with Nvidia GPUs?
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What a Governed AI System Actually Looks Like
What does a governed AI system actually look like in production?
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Why Most AI Architectures Collapse Under Governance
Why do AI systems that work in demos collapse the moment governance requirements show up?
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The Missing Control Layer in AI Systems
Where do you actually put control in an AI system?
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AI Doesn’t Fail in the Demo – It Fails the First Time You Have to Trust It
If the AI demo works, why does the project stall before production?
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When Developer Workflow Discipline Isn’t Enough
Can developer workflow discipline control enterprise AI costs, or does that control belong to platform engineering?
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544 Enterprises. One Number That Matters: 22.8%
Why are only 22.8% of enterprise AI projects meeting their ROI objectives?
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The Pentagon–Anthropic Standoff Is the First National-Scale DAPM Conflict. Here’s What Enterprises Should Learn.
What should enterprises learn from the Pentagon-Anthropic standoff?
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Your Fourth Cloud for AI: Platform or Project?
Is IBM Fusion a real Fourth Cloud platform for AI, or am I buying a consulting project?
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Bigger Models Won’t Fix Your AI Architecture
Will a bigger model fix my unreliable AI system?