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Chapter 1 of 6Meta Prompting, Reverse Prompting and Prompt Chaining
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Let the AI improve your prompt

This lesson teaches what a prompt framework is and how meta prompting asks the AI to improve your prompt before it runs the task.

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  • A prompt framework is a reusable structure for your request, usually named with an acronym, that reminds you to include the parts that change the answer.
  • Meta prompting means asking the model to write or improve the prompt before it does the task. Both OpenAI and Anthropic recommend using the model to optimise its own prompts.
  • The core meta prompt is: Rewrite my request as a better prompt. Ask me what is missing. Then run it. The middle line is what forces the AI to surface gaps instead of guessing.
  • Frameworks help most when a request is complex or open to interpretation. A quick, simple question can stay short and still work well.
  • There are well over sixty named frameworks, and most remix the same ingredients: role, task, context, audience, format, constraints and examples.
  • Meta prompting is a technique from AI research that changes how the AI works through a task. You can add it on top of any fill-in framework you already use.
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