JSON Output
JSON is the most common structured output format for AI prompts. It's machine-readable, easy to parse, and perfect for integrating AI into applications.
Why JSON?
- Machine-readable - Direct parsing in code
- Structured - Defined schema for consistency
- Typed - Clear data types (string, number, boolean, array)
- Nested - Supports complex hierarchies
Basic JSON Request
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Specifying JSON Schema
Always provide the expected structure:
With Example Values
Return JSON:
{
"title": "Product name here",
"price": 99.99,
"inStock": true,
"tags": ["tag1", "tag2"]
}
With Type Annotations
Return JSON:
{
"title": string,
"price": number,
"inStock": boolean,
"tags": string[]
}
Exercise: JSON Extraction
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Nested JSON Structures
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Handling Arrays in JSON
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Exercise: Complex JSON Schema
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JSON Best Practices
1. Specify Exact Field Names
Bad: "include the name"
Good: "use field name 'productName'"
2. Define Data Types
"price": number (not string)
"inStock": boolean (not "yes"/"no")
3. Handle Null/Missing Values
"If unavailable, use null for that field"
"Omit optional fields if not applicable"
4. Enforce Valid JSON
"Return ONLY valid JSON, no markdown code blocks"
"Ensure all strings use double quotes"
Common JSON Pitfalls
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Practice: JSON Generation
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JSON output makes AI responses programmable and integrable into any application.
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