The first stage of AI work is prompting. The last stage is removing the model from most of the workflow. That sounds backwards. It is not. When a workflow is new, the LLM is useful because the work is still ambiguous. You are discovering what good looks like. You try a prompt, read the output, adjust the examples, change the tone, add constraints, and run it again. That is a good use of AI. But if the same workflow keeps coming back, and you are still explaining it to the model every time, you are not building capability. You are repeating yourself with a better interface. The mature workflow is not one where the LLM does everything. The mature workflow is one where the LLM only handles the part where ambiguity is useful. Everything else becomes process. Prompting Is Discovery Prompting is where most people start because it is the fastest way to get feedback.…