Thinking
Essays, ideas and analysis on agentic AI, semantic systems, ontologies, governance and the architecture of intelligent organizations.
Agents ask constantly, at machine volume. The spine stops being a reference resource and becomes a runtime dependency — the operating system your machines run on.
Essay5 min read
Semantic projects rarely die of bad modeling. They die at budget season, because the value lands in everyone else's numbers. How to count meaning as infrastructure.
Essay6 min read
An ontology is a photograph of the business. The business is a movie. How to keep meaning true while everything it describes keeps moving.
Essay7 min read
Put the same model inside two different systems and you get two different outcomes. The engineering around the model is what turns a text predictor into something that can act.
Idea2 min read
The multi-year semantic program is obsolete. How to go from nothing to a working knowledge spine in six months, vertebra by vertebra.
Essay6 min read
Why enterprise ontologies need to stop being documentation and become operational infrastructure for data, applications and AI.
Essay6 min read
Three conflations I keep hearing in every AI conversation, and why the tooling is getting commoditized while the modeling is where the durable advantage lives.
Idea1 min read
Everyone is telling you to build a knowledge graph for AI. Before launching another data movement project, ask a harder question: what does AI actually need from your data?
Idea1 min read
Policies, controls and obligations still live in PDFs and human interpretation. What happens when institutional logic becomes machine-executable?
Essay3 min read
We are in the golden window where tokens feel cheap and experimentation feels unlimited. Dreams have economics — and the dream phase is when smart builders prepare for the morning after.
Essay5 min read
