
September 20, 2026

I write about what happens when AI agents start to reason, decide and act on behalf of people — to companies, to states, and to the way we think. Everything below is the archive.
Every essay published under this byline, counted by theme and by month. The figures are generated from the live archive, so they are current as of the last build.
Six questions I have not managed to finish thinking about. They map onto the themes in the chart above.
Attention, trust, status, boldness, character as a set of algorithms. The largest part of the archive, and the part I find hardest to stop writing.
Policy treated as an engineering problem: what a country must control, which levers move growth, and what changes once agents can act on a state’s behalf.
Architectures, alignment, and the awkward question of what “more intelligent” even means once you try to specify it.
If machines are abundant at reasoning, most of the curriculum answers a question nobody is asking any more. So what replaces it?
Intelligence infrastructure — the unglamorous, structural layer an organisation or a country runs its thinking on, and which everything else quietly depends on.
Handing the scientific method itself to machines: what that would take, and what breaks if it works.
The founding text: what it means to build civilisation deliberately once agents can act.
How a state turns digital sovereignty from a stack of assets into an operating capability.
What a government must adopt before agents can legitimately act on its behalf.
Intelligence isn’t more thinking. At the top of the ladder that picture is simply wrong.
The weakest force in physics built the universe. Sixteen laws for its human equivalent.
Educating humans in an age of abundant intelligence — and what school is now for.
Book-length work, researched from downloaded primary sources. Readable page by page in the browser, or as a PDF.
Twenty-four stalled growth levers, turned into buildable agentic programmes.
What a national foresight capability is for, and what it costs a country not to have one.
Based in Prague. I work on agentic architecture — software in which AI agents reason, decide and act on behalf of people, with explicit goal architecture, trust boundaries and evaluation loops. The writing here comes directly out of that work; it is where I think the problems through.
Day to day that means leading the World Health Organization’s move to an AI-first operating model, running research at ENSI, building Software-3.0 platforms at Metamatics Ventures, and chairing the Intelligence Group at the AFCEA Czech Chapter, where the work is the agentic transformation of the Czech state. I teach agentic software at ČVUT.
Before that: a Mgr. in Computer Science from Masaryk University, exchange study at Copenhagen Business School, and a bachelor’s from FAMU in film and new media — which is a stranger route into this than it sounds, and probably explains the essays.
Speaking, advisory, or a problem you think belongs in the archive — email or LinkedIn is fastest.