Why Your Prompts Aren’t Getting the Results You Want

If you’ve ever typed a request into an AI tool and gotten a bland, generic, or slightly off answer, you’re not alone. Most of the time, it’s not that the AI “doesn’t understand”; it’s that the prompt didn’t give it enough to work with. Here’s a breakdown of the most common reasons prompts underperform, and what usually fixes them.

1. You’re being vague without realising it

“Write me a marketing email” feels specific to you, but to the AI, it’s wide open. Who’s the audience? What’s the tone? What’s the goal: clicks, replies, sign-ups? Without that, the AI fills in the blanks with generic defaults.

Fix: Add the who, what, and why. “Write a short, friendly email to existing customers announcing a 20% discount, with a casual tone and a clear CTA.”

2. You’re not giving it examples

AI is great at pattern-matching. If you want a specific style punchy, formal, witty, technical showing one example of what “good” looks like will get you closer than describing it in adjectives.

Fix: Paste a sample of writing (yours or someone else’s) and say “match this tone.”

3. You’re asking for too much in one go

Big, multi-part requests (“write my whole business plan”) often produce shallow, surface-level answers because the AI is trying to cover everything at once.

Fix: Break it into steps. Ask for an outline first, then expand section by section.

4. You’re not telling it what to avoid

Sometimes what you don’t want matters as much as what you do. “Don’t use corporate jargon” or “no bullet points” can sharpen the output significantly.

5. You’re treating the first response as final

Prompting is often iterative. The first answer is a draft, not a verdict. Refining with “make it shorter,” “more casual,” or “focus more on X” usually gets you much closer than starting over.

6. You’re skipping context the AI actually needs

If you’re asking for help with code, a document, or a specific situation, and you haven’t shared the relevant background, the AI is guessing. More context (within reason) almost always improves output quality.

Discussion questions:

• What’s the biggest “aha” moment you’ve had that improved your prompts?
• Do you iterate on prompts, or usually accept the first answer?
• Any go-to prompt structure or template you swear by?