K-Culture GlossaryㅍWords you meet while using AI
Prompt Engineering
The skill of getting AI to do good work for you. How you phrase your instructions alone can change the quality of results several times over.
In plain words
It's the skill of directing AI to do good work. With the same model, results can vary several-fold depending on how you write your instructions — and this field is about that "how."
The core tricks are the same as when you're directing a person: give it a role ("You are an editor"), give it context ("The reader is a beginner"), set a format ("as a table"), and show examples. It briefly made headlines as a hot new high-paying job, but now it's become more like "basic writing literacy for the AI era."
Try it yourself
- Try asking any chatbot to "write a marketing tagline" and take note of the result.
- Now try this instead: "You are a copywriter with 10 years of experience. Write 3 Instagram ad captions for a running shoe brand targeting people in their 20s. Keep each under 15 words, witty, no emojis."
- The difference between the two results is essentially everything prompt engineering does.
- One step further: experts start not from the instruction but from the "ideal output." Write even one line of the final sentence you want, then flip it around: ask the AI to "create an instruction that would produce output in this style." Define the output first, and the instruction follows. Saving and reusing prompts that work well is the final step to mastering this in practice.
See also
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