For a while, prompt engineering felt like a search for the perfect phrase.
Give the model a role. Add a few examples. Request a structured format. Refine the wording until the response improves.
Those techniques still matter. But when AI moves from experimentation into production, the prompt becomes only one layer of a much larger system.
The more useful question is no longer:
How do we prompt the model better?






