Hiring managers don't want another prompt course. They want evidence you can orchestrate rejection loops: eval harnesses, critic gates, and shipped agent workflows in public.
Everyone name-drops hooks and skills. Almost nobody explains when to use which, and conflating them builds brittle agents that break on the second edge case.
Model, memory, tools, planner, orchestrator, eval: six components with explicit contracts between them. Skip the contracts and you get a demo that collapses in week two.
Generation is solved. The bottleneck is judgment, and the specific, learnable, scalable form of judgment is saying no to confident AI output, and knowing exactly why. Most teams let every one of those noes fall on the floor.