Prompt Engineering

What is prompt engineering?

A prompt is the sentence you hand an AI; prompt engineering is the craft of making that sentence land. It isn't voodoo — it's a repeatable method: give a role, give context, give examples, give constraints, so the model reliably produces what you want.

Why call it "engineering"?

It's testable and iterative
The same request can land very differently depending on wording. Prompt engineers try, compare and refine until they find the phrasing that works most reliably.
Details decide the outcome
Did you specify the output format? Give a few examples? Set length and tone? Those small things stack up into real differences in accuracy.

A few techniques that work right away

Give it a role
"You are a senior lawyer…" shifts the model into more professional language and tone.
Show examples (few-shot)
One or two "input → output" demonstrations beat a paragraph of instructions.
Ask for structured output
"Return JSON" or "list three points" cuts down format errors a lot.
Make it think first
Adding "reason step by step" is the simplest form of chain-of-thought.

It's becoming a core skill

As AI spreads, "knowing how to ask" is turning into a basic skill, like typing. Prompt engineering isn't just for programmers — it's for anyone who uses AI.

Bottom line: prompt engineering is just "saying clearly what you need". The clearer you are, the better the AI's work.