Course overview
Chapter 1 of 6Planning Prompt Frameworks: BROKE, COAST, SCOPE, SPARK and More
Get the full course

Start here · 3:15

Frameworks for plans and goals

This lesson explains what a prompt framework is and why planning frameworks add measurable outcomes, constraints and iteration to prompts used for work that unfolds over time.

Free preview
  • A prompt is the request you type into an AI tool such as ChatGPT, Claude or Gemini. A prompt framework is a reusable structure for that request, a short checklist of the parts a good prompt contains, usually named with an acronym so it is easy to remember.
  • Frameworks help because the AI fills in whatever you leave out with generic guesses. Naming the parts that change the answer, such as who it is for, what you want to achieve and the format you need, keeps the answer close to your real situation.
  • Frameworks make prompts repeatable. You fill the same parts each time, save the prompt as a template and share it with colleagues. The template becomes a shared starting point rather than a personal trick.
  • Frameworks are not magic words. The value comes from the detail you put in each part. They help most when a request is complex or open to interpretation, while a quick, simple question can stay short.
  • There are well over sixty named frameworks, and most of them remix the same ingredients: role, task, context, audience, format, constraints and examples. Learning one family well beats collecting acronyms.
  • Planning frameworks add measurable outcomes, constraints and iteration to a prompt. They suit work where the first answer is the start of a process, such as a plan, a strategy or a document that will be reviewed and revised.
Liked chapter 1?

Get the other 5 chapters, the exam and your certificate for LinkedIn, plus all 700+ AI courses.

Get the full course