Notes on knowledge infrastructure, governability and institutional authority in organisations that delegate work to AI agents.
Research
A governance function can fail for two reasons that have nothing to do with how mature it is: the system it governs cannot be seen into, or the authority it exercises was never properly granted. Two preprints, published in November 2026, take one reason each.
Research
Advanced models gain less from elaborate prompts, optimisers now write prompts themselves, and agents act in real systems. For years we have tried to fix with language what is really a problem of knowledge organisation, software architecture and institutional governance.
Research
Banks warn about AI shopping agents, Meta puts one into glasses, and a UN report describes agents that took another agent's “GO” as permission. The real question is not whether we trust agents, but whether they hold authority — and whether it is still valid when they act.
Research
The fictional company Gemini was told to attack shared its name with a real one. Three real firms were breached, and the model stopped the moment it worked out where it was. That is a failure of reference, not of intent — and fixing it turns out to be only half the problem.
Research
Model, metamodel, ontology get used as if they were three names for the same thing. They are three different jobs, and confusing them decides which questions your tooling will never be able to answer.
Research
Business architecture carries its meaning in the drawing and in the modeller's head. An ontology makes that meaning checkable, which is less than making it true, and more than it sounds. The reason it now matters is that the models have acquired a second reader.
Research
Most safety evaluation counts how often a model declines and reports the result as alignment. That measures one thing and claims another.
Research
Agent platforms are closing the technical control gap. The institutional one stays open — and that open question is what my research is about.