How to Write AI Prompts That Get Better Responses

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Writing with AI is a bit like talking to a very intelligent but literal person - it doesn’t guess context, read between the lines, or know what you really want unless you tell it. The more precisely you describe your needs, the better results you’ll get. That’s the essence of prompting.

In practice, it comes down to a few simple things. First - role: tell the model what it should be (e.g., an experienced copywriter, lawyer, teacher). Second - task: describe specifically what it should do, don’t write vaguely “help me with text”. Third - context: add background, who it’s for, what the goal is, what you already know. Fourth - format: say whether you want a list, paragraph, email, or table.

• Model’s role - what should it be?
• Specific task - what exactly to do?
• Context - for whom, why, what do I already know?
• Response format - what should the output look like?

From our experience: the biggest mistake is a prompt that’s too short and general, followed by frustration that the response is shallow. When we add just one more sentence of context, quality jumps noticeably. We treat it like briefing a freelancer - the better the brief, the better the work.

One important caveat: different models react somewhat differently to the same prompts. If you’re wondering which model works best for specific tasks, check out our benchmarks - you’ll find comparisons based on tests there.

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