The CORE Framework
Most bad AI output isn't the model's fault — it's a bad prompt. CORE is a four-part checklist: give every AI request Context, an Objective, a Role, and an Example, and your results get sharper, more consistent, and far less "close but not quite."
- C — Context
- O — Objective
- R — Role
- E — Example
The four things every good prompt hands the AI up front.
Why this matters
When you type a quick request like "write me a marketing email," the AI has to guess almost everything: who it's for, what it's selling, what tone you want, how long it should be, and what a good version even looks like. It fills those gaps with generic averages — which is why the output feels generic. CORE is the fix. Instead of hoping the AI guesses right, you hand it the four things it actually needs to nail the task on the first try. It's not more work — it's the right work, front-loaded. Think of it like briefing a new contractor. You wouldn't say "build me something." You'd say what it's for, what done looks like, who's doing the work, and show them an example. CORE is that brief, every time.