Prompt Engineering
Definition
Prompt engineering is the practice of writing clear, well-structured instructions for an AI model to get more accurate, useful, and consistent results.
Also known as: prompt engineering, prompting
Prompt engineering is the skill of asking an AI model for what you want in a way that reliably gets good results. Because a language model responds to the exact instructions you give it, small changes in how you phrase a request can make a large difference in the quality of the answer.
Why it matters
The same model can produce a vague, generic reply or a sharp, useful one depending entirely on the prompt. Good prompting is often the difference between “AI is overhyped” and “AI just saved me an hour.” You don’t need to be technical — you just need to be clear.
What good prompting looks like
Effective prompts tend to share a few habits: they give the model context (who it is, who the output is for), they’re specific about the format and length you want, and they include an example when the task is unusual. Asking the model to work through a problem step by step also tends to improve accuracy on anything involving reasoning.
A quick example
“Write about our product” is a weak prompt. “Write a 100-word product description for busy small-business owners, in a friendly but professional tone, focusing on time saved” is a strong one — same model, far better result.
Prompt engineering in one sentence
Prompt engineering is writing clear, specific instructions so an AI gives you the result you actually want.