AI Prompting & LLM Patterns
Prompt engineering techniques and LLM interaction patterns for Claude, GPT, and other AI models.
Prompt Techniques
Basic Structure
Role: [Specify role/expertise]
Task: [Clear, specific task]
Context: [Relevant background]
Format: [Desired output format]
Constraints: [Any limitations]
Few-Shot Prompting
Provide 2-3 examples of input-output pairs before the actual request to guide model behavior.
Chain-of-Thought
Ask model to "explain your reasoning step by step" for complex tasks. Improves accuracy on logical problems.
System Prompts
Design detailed system prompts that establish persona, expertise level, and behavioral guidelines.
Key Strategies
- Clarity - Be specific and unambiguous
- Examples - Provide concrete examples
- Constraints - Define output format and limits
- Role Definition - Specify expertise and perspective
- Iterative Refinement - Test and improve prompts
Common Patterns
- Classification & Categorization
- Text Generation & Creative Writing
- Code Generation & Debugging
- Data Extraction & Parsing
- Analysis & Reasoning
- Summarization & Synthesis
- Translation & Conversion
- Problem Solving & Ideation
References
- OpenAI Prompt Engineering Guide
- Anthropic Claude Best Practices
- Prompt Engineering Institute