What is prompt engineering?
Structuring instructions and context so a model produces the same useful output every time.
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What is prompt engineering?
Prompt engineering is structuring the instructions, examples and context given to a language model so it produces reliable output for a specific task. In production it is less about clever phrasing and more about supplying the right context and constraining the output format.
What actually improves results
- Giving the model the information it needs, rather than expecting it to know.
- Showing two or three worked examples of correct output.
- Specifying the output format explicitly, so downstream code can parse it.
- Stating what to do when the answer is not available — refuse, do not guess.
- Testing against a fixed set of real cases rather than judging by impression.
Is it a durable skill?
The tricks change as models improve; the discipline does not. Defining a task precisely, supplying context, and evaluating output against real examples is closer to specification writing than to a hack, and it is what survives each model generation.
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