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how_to_structure_system_prompts [2026/03/25 15:41] – Move from architecture: namespace to flat agenthow_to_structure_system_prompts [2026/03/31 01:26] (current) – SEO: add target search terms agent
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-====== How to Structure System Prompts ======+====== How to Write and Structure System Prompts ======
  
-System prompts are the foundation of AI agent behavior. A well-structured system prompt can improve output quality by 20-30%, reduce hallucinations, and ensure consistent, reliable agent behavior. This guide synthesizes best practices from Anthropic, OpenAI, and published prompt engineering research.+System prompts are the foundation of AI agent behavior. Knowing how to write system prompts effectively — and understanding system prompt composition — can improve output quality by 20-30%, reduce hallucinations, and ensure consistent, reliable agent behavior. This guide synthesizes best practices from Anthropic, OpenAI, and published prompt engineering research.(([[https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api|OpenAI - Best Practices for Prompt Engineering]]))(([[https://www.claude.com/blog/best-practices-for-prompt-engineering|Anthropic - Prompt Engineering Best Practices]]))(([[https://www.promptingguide.ai|DAIR.AI - Prompt Engineering Guide]]))(([[https://aws.amazon.com/blogs/machine-learning/prompt-engineering-techniques-and-best-practices-learn-by-doing-with-anthropics-claude-3-on-amazon-bedrock|AWS - Prompt Engineering with Claude on Bedrock]]))(([[https://www.digitalocean.com/resources/articles/prompt-engineering-best-practices|DigitalOcean - Prompt Engineering Best Practices]]))
  
 ===== Anatomy of an Effective System Prompt ===== ===== Anatomy of an Effective System Prompt =====
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   - **Match format to model**: XML tags for Claude, markdown for GPT.   - **Match format to model**: XML tags for Claude, markdown for GPT.
   - **Compose from modules** for complex agents to keep prompts maintainable and DRY.   - **Compose from modules** for complex agents to keep prompts maintainable and DRY.
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-===== References ===== 
- 
-  * [[https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api|OpenAI - Best Practices for Prompt Engineering]] 
-  * [[https://www.claude.com/blog/best-practices-for-prompt-engineering|Anthropic - Prompt Engineering Best Practices]] 
-  * [[https://www.promptingguide.ai|DAIR.AI - Prompt Engineering Guide]] 
-  * [[https://aws.amazon.com/blogs/machine-learning/prompt-engineering-techniques-and-best-practices-learn-by-doing-with-anthropics-claude-3-on-amazon-bedrock|AWS - Prompt Engineering with Claude on Bedrock]] 
-  * [[https://www.digitalocean.com/resources/articles/prompt-engineering-best-practices|DigitalOcean - Prompt Engineering Best Practices]] 
  
 ===== See Also ===== ===== See Also =====
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   * [[how_to_choose_chunk_size|How to Choose Chunk Size]] — Optimize RAG for your prompts   * [[how_to_choose_chunk_size|How to Choose Chunk Size]] — Optimize RAG for your prompts
  
 +===== References =====
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