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IntermediateCore Techniques
Structured Output Prompting: Complete Guide for Prompt Engineers
Instruct the model to return outputs in a specific structured format — JSON, markdown tables, XML, or custom schemas. Learn when to use it, see a real example, and understand the best practices.
When to Use This Technique
When integrating model output into code, databases, APIs, or any system requiring predictable data formats.
Example Prompt
Return your analysis as JSON with these fields: {"sentiment": "positive|negative|neutral", "confidence": 0-1, "key_phrases": [], "summary": "string"}
Pro Tips
- ✓Provide the exact schema in your prompt
- ✓Use JSON mode or function calling when available
- ✓Validate outputs against schema programmatically
- ✓Include an example in the prompt for complex schemas
More Practice Prompts
Return your analysis as JSON with these fields: {"sentiment": "positive|negative|neutral", "confidence": 0-1, "key_phrases": [], "summary": "string"}
FAQ
When should I use Structured Output Prompting?
When integrating model output into code, databases, APIs, or any system requiring predictable data formats.
What difficulty level is Structured Output Prompting?
Structured Output Prompting is considered Intermediate level in the Core Techniques category.
Quick Facts
DifficultyIntermediate
CategoryCore Techniques