From Model Monopoly to an Ecology of Expertise
Why broad frontier capability is not the same as dependable expertise — and why AI needs a division of labor built around accountable specialist systems.
Read pieceLong-form writing from Nacho Labs on agent systems, workflow design, and the operational edges that actually matter.
Why broad frontier capability is not the same as dependable expertise — and why AI needs a division of labor built around accountable specialist systems.
Read pieceManaged assistants can be useful. The non-negotiable part is keeping your data, history, and exit path under your control.
Read pieceWhy moving the coding workspace off local laptops and onto a server changed the day-to-day value of coding agents more than a new model ever did.
Read pieceWhy serious agent software wins or loses on routing, policy, handoffs, and operator control — not on a pretty prompt wrapper.
Read pieceWhy agent teams keep using memory as a catch-all term, and why that naming mistake turns into an architecture mistake.
Read pieceThe real break in many AI systems is not the model. It is the handoff between useful output and accountable human judgment.
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