Most people get better results from AI by changing how they ask, not by switching tools. These five principles consistently improve output — and they work across every major assistant.
1. Be specific about the outcome
Instead of "summarize this," say what you'll do with it: "Summarize this in five bullet points for a newsletter; keep each under one line." The more you define the format, audience, and length, the less the model has to guess.
2. Give it a role and context
Adding context helps: "Act as a careful editor. I'm a beginner writing about wallets — explain like I'm new." Models respond well to a clear point of view, but keep the persona relevant to the task.
3. Provide an example
One good example beats a paragraph of instructions. If you want a certain tone or structure, show it. "Here's the style I want: [example]. Now do the same for this topic."
4. Break big requests into steps
Long, multi-part prompts produce scattered answers. Split them: "First, list the key points. Then, for each, suggest one action. Finally, put it in a short table." Or simply run several shorter prompts.
5. Ask it to check its own work
End with a review step: "Before answering, list anything you're unsure about; then give the answer. After that, note what you'd verify." This pushes the model to flag uncertainty instead of confidently guessing — especially for money or security topics.
Combine these with a capable model and you'll get most of the benefit of a much more expensive setup — see our guide to choosing an AI assistant.
