What actually makes a prompt “good”?
I’ve been experimenting with prompt engineering and noticed that simply making a prompt longer doesn’t necessarily make the output better. For people who use prompting regularly, what do you think makes the biggest difference in the quality of an AI response? Is it giving detailed context, defining a specific role, providing examples, structuring the prompt clearly, specifying
PROMPT
I’ve been experimenting with prompt engineering and noticed that simply making a prompt longer doesn’t necessarily make the output better. For people who use prompting regularly, what do you think makes the biggest difference in the quality of an AI response? Is it giving detailed context, defining a specific role, providing examples, structuring the prompt clearly, specifying the desired output format, or something else? What’s one prompting technique that noticeably improved your results after you started using it? submitted by /u/Cringe_bros [link] [comments]
Replace the bracketed fields with your own goal, audience and context.
Paste the prompt into the recommended tool; treat the first output as a draft.
Point out gaps, add examples, and define the output format you want more precisely.
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