Blogs

A reusable method for constructing a team SSOT that aligns AI agents, product, operations, sales, support, and engineering across mission, strategy, promise, Flow, contract, implementation, and eviden...

Complex products, AI-native output, and fast iteration naturally split team truth. The SSOT Nine-Layer Pyramid lets AI agents, product, operations, sales, support, and engineering share one current de...

Once AI is deeply involved in development, release workflows need to be redesigned too. True one-click release is not about clicking faster. It is about removing human attention from release details.

A judgment support tool has one job: make your current intention the easiest thing to act on. This is what that means, and what it rules out.

Platforms aren't stealing your attention. They're consuming it structurally, and willpower is no defense against a structural problem.

As AI gets better at execution, the bottleneck shifts entirely to judgment. And we're building almost nothing to protect it.

We have tools for doing things and tools for blocking things. The third category, judgment support, barely exists. This is what it would actually look like.

The problem usually isn't your system. It's what your system does when reality hits it, and how that quietly turns a judgment failure into a personal one.

Every productivity tool shares a hidden assumption: you already know what to do. That assumption might be what's making your perfectly organized task list feel hollow.

The origin of this article was a continuously deepening dialogue between myself and an AI. It began with a technical question about the future business models of software, yet l...

How doubling your codebase creates completely different engineering challenges, and why most teams aren't ready for the transitions.

How does a small American town that seems to produce nothing actually stay alive? A layer-by-layer dissection of what really keeps a local economy running.

Why does the same haircut carry a wildly different price tag from one country to the next? Set the old three-sector model aside and look through a new lens: tradable versus non-tradable.

New York and Shanghai look more alike on the surface every year. Put them under the tradable/non-tradable X-ray, though, and their economic DNA turns out to be nothing alike.

The economy is running toward two extremes: maximum efficiency or maximum experience. The stuck-in-the-middle ground between them is quietly disappearing.

The storm of the Great Mismatch is four layers of mismatch resonating at once. You can't cross it until you see exactly how it's built.