I think the word Engineering means your own grasp on the subject/task at hand. For example, you can't engineer a prompt that would lead to a result outside of t

I think the word Engineering means your own grasp on the subject/task at hand. For example, you can't engineer a prompt that would lead to a result outside of the scope of what the model/interface is capable of doing. You can, however, engineer a prompt that will refine the result to get exactly what you want. In other words, you also have to understand the text that you're getting back from your prompts, and then "engineer" the prompt to fish for better results. AI itself can do this to an extent, but over-engineering is also a thing, as is the fact that AI itself does not actually know what you want. That's all there is to it. Refine, revise, engineer - all just buzzwords that lead to the same end result: a game of ping-pong between you and the LLM.