The archive
Articles
-
Who Determines Done? Why Agentic AI Needs Escalation, Not More Loops
Do agentic AI systems need better loops, or does the answer live somewhere else?
-
Who Controls the Loop? A Requirements Document for Local-First Agentic AI
Where should judgment live in a local-first agentic AI system?
-
AI TRiSM Readiness Assessment
How do I know if my AI governance is operational and not just aspirational?
-
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?
-
Checking the CTO Advisor Track Record
Can The CTO Advisor's frameworks be verified against a public track record?
-
Operationalizing AI TRiSM: A CTO Advisor Field Guide
How do you turn Gartner's AI TRiSM from approval language into an operating reality?
-
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?
-
Auditable Authority: When AI Can Advise, and Who Should Decide
Where should decision authority sit when AI enters an enterprise workflow?
-
I Just Wanted Endpoints
Why can't I just get inference endpoints from my own AI hardware?
-
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?
-
One Problem, Five Frameworks: Why Enterprise AI Stalls — and How to Fix It
Why does enterprise AI stall between pilot and production?
-
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?
-
You Know What’s Dumb? Using AI When It’s Not Needed.
When is using AI actually the wrong architectural call?
-
You Don’t Start Your AI Journey With Nvidia
Should we start our enterprise AI buildout with Nvidia GPUs?
-
What a Governed AI System Actually Looks Like
What does a governed AI system actually look like in production?
-
Why Most AI Architectures Collapse Under Governance
Why do AI systems that work in demos collapse the moment governance requirements show up?
-
The Missing Control Layer in AI Systems
Where do you actually put control in an AI system?
-
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?
-
When Developer Workflow Discipline Isn’t Enough
Can developer workflow discipline control enterprise AI costs, or does that control belong to platform engineering?
-
544 Enterprises. One Number That Matters: 22.8%
Why are only 22.8% of enterprise AI projects meeting their ROI objectives?