Better AI Prompts: The RISEN Framework for Business

AI takes you very literally, so a vague prompt sends it down rabbit holes, and when time is money that is the last thing you want. The better your prompt, the less the model wanders and the less it hallucinates, those confident but wrong answers. A simple way to write clearer prompts is to follow a proven structure. One of the better-known ones is the RISEN framework, created by Kyle Balmer.

The RISEN framework, broken down

RISEN is an acronym for five things to spell out in your prompt.

Role. Whose perspective should the AI write from? A reply from a data scientist reads very differently than one from a marketer or a stand-up comedian. Naming the role sets the tone and expertise.

Instructions. State the main task plainly. This is the what, and the next steps fill in the how.

Steps. Give it a numbered sequence to follow. Breaking the task into steps keeps the output organized and on track.

End goal. Say what the finished result should achieve. You know what you are after, the AI does not, so make the target explicit.

Narrowing. Add your constraints, word count, focus, what to avoid, and who the audience is, so the answer fits the job.

A few things that make any prompt better

Context is everything, because the model only knows what you tell it. Point it at an example to emulate, like an existing report or a sample of your own writing, and expect to refine over a few rounds rather than nailing it on the first try. If you want to dial the style, look for a temperature setting, higher for more creative answers, lower for more factual ones.

One hard rule: never paste sensitive or proprietary data into public AI tools. They are built on sharing information, so anything you feed them could surface in someone else answer. If you need AI on private data, a private AI setup keeps it in-house.

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