research.

Research is where I develop my views about AI and how it can and should be used.

It holds an accumulating substrate of that work: assessed sources, developing lines of inquiry organised as Themes, and individual Studies that capture thinking as it forms. That substrate feeds work across two synthesis modes. Applied synthesis takes a practitioner's view of how tools, frameworks, and patterns apply to real organisational work, particularly in change management and operating-model design. Philosophical synthesis is analytical and theoretical: AGI timelines, alignment as a governance problem, agent behaviour, and the broader societal implications. These are two lenses on shared material; the questions that matter in practice and the questions that matter in principle tend to involve the same territory.

Studies are classified by what a piece is accountable to. An Observation records something noticed but not yet explained, and its discipline is fidelity to what was seen. An Analysis advances a claim that could be wrong, one that argument or new information would settle. A Thought experiment is a constructed scenario held to its own internal coherence: a way of reasoning about possibilities that can't yet be observed, kept clearly as speculation.

The work runs across three layers: staying current with developments (active), applied learning and reflective practice (active), and publishing, which I've deferred until there's something worth saying.