There exists an actual business problem that the C-suite now acknowledges, but no function has stepped up to address it.

A working prototype that lets you move test money as a file: into Finder, along with a message, or directly between two phones.

A self certification process with a somewhat official blessing.

The question is only who pays for it, and how.

Why AI is compressing software margins, and what that does to the SaaS playbook.

Explore the argument that intelligence and the economy are converging into a single new system.

Building a Swamp Workflow reduced real world token usage of an AI Agent by 8x and improved execution time by 2x.

Send them $10,000. They send you $10,000. You’ve both booked $10,000 in revenue. Cash never moves. Everybody’s a rocketship.

The reality of how much damage AI mania is doing to our ability to run institutions effectively.

We are beginning to see what happens when a company learns to operate itself.

Organisations say they want innovation but keep killing it. The problem is the organisational decision-making machinery.

This year is Apple’s 50th year in business. Decades ago, it lost creative focus, and spread itself too thin.

UX teams should report business outcomes to show impact on revenue, cost, risk, speed, retention, and to secure resources.

When taste is weak, everything survives long enough to demand justification, and the organization slowly confuses activity with progress.

A few examples to help the average layperson understand the business side of AI.

What changed because we spent those tokens?

Tracking the spend and revenue of frontier AI companies.

AI progress creates more work for humans, not less.

Facts that link user experience directly to revenue, retention, and long-term growth.

How chasing passive income destroys the focus needed to build meaningful products.