CREATE
- CREATE (Character, Request, Examples, Adjustment, Type of Output, Extras)
The CREATE prompt framework is a structured approach to crafting effective prompts for AI tools like ChatGPT. It stands for Character, Request, Example, Adjustment, Type of Output, and Extras. This framework guides users to clearly define the perspective or role of the AI (Character), specify the task (Request), provide examples for context (Example), make iterative refinements (Adjustment), outline the desired format (Type of Output), and include any additional instructions (Extras).
What is CREATE (Character, Request, Examples, Adjustment, Type of Output, Extras)?
CREATE is a structured framework that helps in generating clear and focused outputs, often used in content creation, brainstorming, or problem-solving contexts. Here’s a breakdown of each component in DokuWiki syntax:- Character: The protagonist or main character of the scenario. This could be a person, a fictional character, or a specific role that needs to be fulfilled.
- Request: The specific task or requirement that needs to be addressed. It defines what is being asked for in terms of content, information, or action.
- Examples: A set of illustrations or instances that clarify or contextualize the request. Examples serve as reference points for the kind of output desired.
- Adjustment: Modifications or parameters that need to be considered while generating the output. This could include tone, style, audience, or specific guidelines to follow.
- Type of Output: The format or style in which the final result should be presented, such as a report, an article, a story, or any other specified format.
- Extras: Additional elements that enhance the output, such as references, visuals, or supplementary information that may provide further context or value.
This structure can be used to scaffold creative processes and promote clarity in communication and production.
You are a [Character: knowledgeable and friendly AI assistant].
Explain [Request: the concept of quantum computing] in [Type of Output: simple terms].
For instance, you might [Example: compare classical computing to a traditional light switch (on/off) and quantum computing to a dimmer switch (multiple states)].
If the explanation is [Adjustment: too complex, simplify it further. If it’s too simple, add a bit more detail].
Use [Extras: analogies and avoid technical jargon].
Related:
External links:
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- Learn the powerful C.R.E.A.T.E Framework for effective prompts with ChatGPT's Power Prompts Cheatsheet. Boost your creativity and productivity today.
- 5 prompt frameworks to level up your prompts — thepromptwarrior.com
- RTF, RISEN, RODES, Chain of thought and Chain of density
- How to Craft Effective Prompts Using the CREATE Framework — nexus.sps.nyu.edu
- Crafting AI Prompts Framework - Framework — craftingaiprompts.org
- Crafting AI Prompts Framework