Prompt Engineering
The skill of writing your requests to an AI in a way that gets you better results: being clear, giving context, showing examples, and setting out what you want. It sounds technical, but it is closer to learning how to brief someone well. This craft of writing effective requests is called prompt engineering.
The word “engineering” can make this sound like something only programmers do. It is not. Prompt engineering is the practical skill of asking an AI for what you want in a way it can act on well. The clearer and more thoughtful your request, the better the reply tends to be.
A helpful way to picture it is briefing a talented but very literal assistant. They will do a wonderful job if you tell them who the work is for, what tone you want, and what a good result looks like. Leave those out and they will guess, sometimes well and sometimes not. Prompt engineering is the habit of putting the useful details in from the start.
This matters because it is often the difference between a frustrating answer and a genuinely helpful one, using the very same AI. A vague request like “write something about dogs” gives the AI little to work with. A fuller prompt that names the audience, length, and purpose gives it plenty.
There are named techniques within this craft that are worth trying, such as showing a couple of examples, known as few-shot prompting, or asking the AI to reason step by step, known as chain of thought. None of them require any coding. They are ways of communicating clearly, which is a skill you already have.