Course overview
Chapter 1 of 6What Anthropic, OpenAI and Google Say About Prompting
Get the full course

Start here · 3:01

Three companies, one message

This lesson explains what a prompt framework is and shows that Anthropic, OpenAI and Google agree on clarity, context, examples and defining the outcome.

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. Including who the answer is for, what you want to achieve and the format you need keeps the reply useful instead of generic.
  • Frameworks make prompts repeatable. You fill the same parts each time, save the prompt as a template and share it with colleagues, so the whole team gets the same quality.
  • 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 remix the same ingredients: role, task, context, audience, format, constraints and examples. Learn the ingredients and you can read any framework.
  • Anthropic, OpenAI and Google each publish prompting guides, and none prescribes a single rigid formula. They agree on clarity, context, examples and defining the outcome, then letting the model reason.
Liked chapter 1?

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

Get the full course