Write Prompts That Give AI a Clear Job

“Write something about our event” makes the assistant guess what you want, who will read it, and what it is allowed to say. Guessing is often the source of generic language and invented details. A better prompt is not a magic spell; it is a better assignment.

Current prompting guidance from OpenAI Academy emphasizes a clear task, context, and desired response. The most useful addition in professional work is a boundary: what should be left blank, flagged, or handed to a person. You can write that in ordinary language.

A prompt is a practical assignment

Task

What should happen?

Context

What facts change the answer?

Output

What should the result look like?

Boundary

What must stay blank or go to a person?

Four supports, not a rigid formula. Ordinary language is enough.

Start with the decision the reader must make

Before you ask for a draft, name the reader and what they need afterward. If an operations manager needs to approve a workshop plan, a cheerful invitation is the wrong output. If customers need to register, an internal risk memo is the wrong one. “Who is this for?” is often a better first question than “What tone should I use?”

Give only the context that changes the answer. For the fictional workshop, capacity and duration matter. The color of last year’s slide deck probably does not. More text can help when it carries evidence, but a large paste of unrelated material gives the assistant more ways to miss the point.

Try this

Copy the improved assignment

Compare it with “Write an email about our workshop.”

Draft a 120-word email to existing customers inviting them to a fictional two-hour hands-on workshop. The workshop will have 40 places and will show people how to organize a common work task with AI. The date, venue, price, and registration link are not confirmed. Use a warm, professional tone. Put [DATE], [VENUE], [PRICE], and [LINK] where those details belong. End with a short list of facts I must confirm before sending.

Why it works: The instruction fixes the audience, purpose, length, known facts, output, and unresolved facts.

Tell it what “good” looks like

A format saves review time. Ask for a table when you need comparisons, a short email when you need copy, or three questions when you are still deciding. If you have an approved example, show one and ask the assistant to follow its structure—not to copy facts from it. This is especially useful when different people will reuse the prompt.

Try adding a check at the end: “Before you finish, list any claims that are not supported by the facts I supplied.” That does not guarantee accuracy, but it gives you a place to inspect. When the output is consequential, you still verify the claim against its actual source.

Avoid the two prompt traps

The first trap is too little context. “Make it better” tells the model nothing about better for whom. The second is an overstuffed instruction: five audiences, three jobs, conflicting formats, and a dozen style rules in one turn. Split a large job into a draft, a review, and a final revision when the steps depend on each other.

Do not confuse a pleasant tone with truth. “Sound confident” can make an unsupported claim more persuasive. For professional work, it is usually better to ask the assistant to mark missing information and separate fact from suggestion.

Practice assignment

Upgrade a weak prompt

Use a task you really face, but practice with fictional or approved information.

1Write the vague version in one sentence.
2Rewrite it with audience, job, necessary facts, output format, and one boundary.
3Run both versions on the same tool.
4Mark three differences that affect whether you could use the result.

What to save

The two prompts and a short comparison of the answers.

You are ready when

A colleague could follow the improved prompt without asking what you meant, and the answer avoids inventing an unresolved fact.