AI agent confabulation is not random. It is plausible-looking wrongness — output constructed from pattern and proximity rather than knowledge. The danger is not that these errors are spectacular; it is that they look correct.

The core design principle for the suggestible actor: convert ambient knowledge into local context. Human developers carry implicit knowledge the AI agent cannot access. Make it explicit and local.

Essential complexity makes software organizations ungovernable from the top. The information executives need to make good decisions is precisely the information that can't survive the reporting chain.

Ergonomic friction as a design tool only works when the actor has intent and judgment. Friction is a signal, and signals require an interpreter. The AI agent encounters friction as an obstacle and routes around it.

Goal and intent are not the same thing. Intent implies motivation — the actor wants an outcome, understands why it matters, and can evaluate trade-offs against their own values. A goal is just a target.

The decision/execution boundary that C&C governance depends on does not exist in software. Every act of building code is a design decision, and software decisions compound.