How to Write Better AI Prompts

The simplest way to write better AI prompts is to stop treating them like search queries. A search query asks for information. A prompt gives a model a job. Better prompts look like compact creative briefs, technical briefs, editorial briefs, or analysis briefs.

That means your prompt should explain what success looks like. If you want a strategy, say what decision the strategy should support. If you want copy, name the audience and action. If you want analysis, provide the data and the format you need.

A useful minimum prompt can often fit into 67 words: You are [role]. Help me [task] for [audience/context]. Use [source material]. Optimize for [goal]. Avoid [constraints]. Return [format]. Before answering, identify missing assumptions and make reasonable choices.

The point is not the exact word count. The point is discipline. Short prompts can be powerful when every sentence carries useful instruction.

Examples are the fastest way to teach taste. If you want concise writing, paste an example. If you want a specific table, show the table. If you dislike a style, show what to avoid. Models respond well to contrast because contrast narrows the possibility space.

When you provide examples, label them clearly. Write: Example to emulate, example to avoid, source material, final format. This reduces confusion and keeps the output aligned with your intent.

For complex work, ask the model to list assumptions before producing the final output. This gives you a chance to catch missing context and prevents confident but misaligned answers. It also makes the model's reasoning easier to inspect without requiring long hidden chains of thought.

A useful line is: Before drafting, list the five assumptions you are making and flag any that could change the answer. Then continue with the best available version.

When an output disappoints you, do not immediately start over. Ask the model to critique the prompt against the result. Which instruction was vague? What context was missing? What constraint was ignored? This turns a weak interaction into a better reusable prompt.

Over time, your prompt library should become a collection of briefs that reliably produce useful work, not a collection of magic phrases.