Prompt engineering is the skill of crafting effective instructions for AI models like ChatGPT to get better outputs. Good prompts include clear instructions, relevant context, specific formatting requirements, and constraints. Key techniques include zero-shot prompting, few-shot prompting with examples, chain-of-thought reasoning, and ReAct prompting. Best practices involve being specific, using roleplay when needed, breaking complex tasks into steps, and explicitly telling models not to hallucinate. The choice of AI model matters significantly, with different models from OpenAI, Anthropic, and Google excelling at different tasks. Prompt debugging helps refine instructions when outputs don't meet expectations.

13m read timeFrom prismic.io
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What is prompt engineering?Anatomy of a good prompt — with examplesPrompt engineering techniquesFirst time here? Discover what Prismic can do!Prompt engineering best practices and tipsImproving AI responses with prompt debuggingWhy the AI model you use mattersFinal thoughtsFAQs about Prompt EngineeringYou might also like...Vibe Coding: My Deep Dive into Tools, Techniques & Personal TakeawaysAI Tools for Developer Productivity

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