17 posts found
The second part of Weaving Memory. What the build taught me about the comfort-amplifier risk I named in Part 1, and why grounding memory outside the probabilistic system was the move I did not see in the spec.
The first part of Weaving Memory. What cannot be exported has to be built. Why I stopped trying to paste context across tools and started building the bridge.
The consultant exits. The operator inherits. Four structural asymmetries explain why recommendations outlive the accountability of those who made them.
The category error behind every AI trust debate. Confidence is the measured basis for authority delegation decisions.
Every Kubernetes governance model rests on an invisible assumption: humans are accountable at the end of every thread. Autonomous agents just severed it.
You've seen the map. You know where you are. Here's the work that actually prevents the spiral - the requirements, the cost, and why most won't do it.
We're rushing toward AI governance as the solution to AI chaos. I've watched this movie before. Here's the map, here's where you are, and here's what happens next if you don't change course.
Two early signals reveal whether your governance initiative will succeed or fail. Learn to spot them before wasting eighteen months building something that was never going to work.
A satirical look at AI architecture complexity theater, followed by a practical guide to what Azure AI Landing Zones actually do—no token valves required.
The system doesn't just fail architects. It teaches them to fail. Here's how institutional capture turns truth-tellers into artifact producers.
The architect is the accountable party for migration success or failure. Not because leadership doesn't matter, but because translation is our job.
How to maintain credibility with practitioners who know more than you in their domains.
Real scenarios and frameworks for translating between business needs and technical reality.
The real job of architects isnt technical depth - its translation between business and technology.
How to operationalize platform architecture in your organization - practical guidance for building the function.
The consequences of strong and weak platforms - why platform decisions compound over time.
Defining platform architecture - the role nobody understands but every organization needs.