All prompts
9 results · tag prompt-writing-structured-outputs-json-mode
Error Handling
If information is missing or unclear: { "extracted_data": {...}, "missing_fields": ["field1", "field2"], "confidence": 0.85, "notes": "Explanation of uncertain…
Validation Techniques
Dates in ISO 8601 format: "2025-01-15T10:30:00Z" Emails must match: [email protected] URLs must start with: https://
Validation Techniques
Status must be one of: ["pending", "active", "completed", "cancelled"] Priority must be one of: ["low", "medium", "high", "critical"] Category must match: ["bu…
Validation Techniques
Return JSON with these REQUIRED fields: - title (string) - description (string) - priority (number, 1-5) Missing any required field = invalid response.
Extraction Patterns
Convert the following unstructured text to structured data: Input format: Free text Output format: { "records": [ { "field1": "value", "field2": "value", "fiel…
Extraction Patterns
Extract entities from the text as JSON: { "people": [{"name": "string", "role": "string"}], "organizations": ["string"], "locations": ["string"], "dates": ["st…
Schema Definition
{ "type" : "object" , "properties" : { "summary" : { "type" : "string" , "description" : "Brief summary in 1-2 sentences" } , "sentiment" : { "type" : "string"…
Basic JSON Mode
{ "name" : "John" , "age" : 32 , "city" : "Seattle" }
Basic JSON Mode
Return the following information as JSON: { "name": "string", "age": "number", "city": "string" } Text: "John is 32 years old and lives in Seattle."