Measuring a compiled browser executor against a model-in-the-loop baseline on the same form, to test whether an agentic pipeline can pay inference for novelty instead of paying it for every action.

Why I am running a new job-application workflow slowly before asking agents to encapsulate it, and what the first manual passes are teaching me about authority, recovery, evidence, and scale.