{"slug": "anatomy-of-a-prompt-instructions-context-examples-and-output-format", "title": "Anatomy of a Prompt: Instructions, Context, Examples, and Output Format", "summary": "A guide breaks down effective prompts into four core components: instructions, context, examples, and output format. It also covers advanced techniques like query rewriting, hypothetical document embeddings, and self-reflective retrieval for improving AI agent performance.", "body_md": "Sorry, we couldn't find this page.\n\nBut don't worry, you can explore our tutorials or return to the homepage.\n\nApply query rewriting, hypothetical document embeddings, and self-reflective retrieval.\n\nLearn how to measure whether your agent is actually working with rigorous evaluation.\n\nPrevent agents from taking harmful actions using human-in-the-loop and constraint patterns.\n\nBuild a complete agent that searches, synthesizes, and produces structured reports.\n\nBuild agents that interact with REST APIs, databases, and file systems.\n\nBreak down every effective prompt into its four core components and learn when to use each one.", "url": "https://wpnews.pro/news/anatomy-of-a-prompt-instructions-context-examples-and-output-format", "canonical_source": "https://superml.org/anatomy-of-a-prompt", "published_at": "2026-06-01 00:00:00+00:00", "updated_at": "2026-06-29 21:23:31.757427+00:00", "lang": "en", "topics": ["large-language-models", "ai-agents", "ai-tools"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/anatomy-of-a-prompt-instructions-context-examples-and-output-format", "markdown": "https://wpnews.pro/news/anatomy-of-a-prompt-instructions-context-examples-and-output-format.md", "text": "https://wpnews.pro/news/anatomy-of-a-prompt-instructions-context-examples-and-output-format.txt", "jsonld": "https://wpnews.pro/news/anatomy-of-a-prompt-instructions-context-examples-and-output-format.jsonld"}}