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CARE: Structure for Crafting AI Prompts

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Text-based generative AI tools (like OpenAI’s ChatGPT, Anthropic’s Claude, and Google’s Gemini) can be extremely useful — but only when given the right instructions. Use the acronym CARE (context, ask, rules, and examples) to remember what information to give AI tools to achieve your desired results. This article demonstrates how to use the CARE framework specifically for UX work. To get better results from a generative AI chatbot, write your prompts CAREfully. Include these four key components in your prompts: While CARE is a helpful mnemonic for remembering the components, you don’t always have to write prompts in this exact order. You also will not need such detailed prompts for every interaction with generative AI. General information-seeking tasks may not require giving the AI this much information. However, when looking for complex or specific outputs, provide more details to ensure you get results from AI that meet your expectations. Establish the framing for your prompt. For ex

8 CARE: Structure for Crafting AI Prompts Kate Moran Kate Moran May 24, 2024 2024-05-24 Share Email article Share on LinkedIn Share on Twitter Summary: To get better results from generative-AI chatbots, write CAREful prompts. Include context, what you’re asking the system to do, rules for how to do it, and examples of what you want. Text-based generative AI tools (like OpenAI’s ChatGPT, Anthropic’s Claude, and Google’s Gemini) can be extremely useful — but only when given the right instructions. Use the acronym CARE (context, ask, rules, and examples) to remember what information to give AI to

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