Prompt Engineering Guide
Mastering JSON schema generation
on Command R+
Stop guessing. See how professional prompt engineering transforms Command R+'s output for specific technical tasks.
The "Vibe" Prompt
"Generate a JSON schema for a 'Product' object. It should have a name, price, description, and an array of tags."
Low specificity, inconsistent output
Optimized Version
{ "task": "JSON Schema Generation", "output_format": "JSON", "entity_name": "Product", "properties": [ { "name": "name", "type": "string", "description": "The name of the product.", "required": true }, { "name": "price", "type": "number", "description": "The price of the product.", "required": true, "format": "float" }, { "name": "description", "type": "string", "description": "A detailed description of the product.", "required": false }, { "name": "tags", "type": "array", "description": "A list of keywords associated with the product.", "required": false, "items": { "type": "string" } } ], "context": "This schema is for an e-commerce application product catalog." }
Structured, task-focused, reduced hallucinations
Engineering Rationale
The optimized prompt leverages a structured JSON input to precisely define the schema generation task. It breaks down the requirements for each property (name, type, description, required status, and format/items for arrays), leaving no ambiguity. The 'context' field provides additional information to the model, which can help ensure the generated schema is appropriate for the intended use case. This chain-of-thought approach guides Command R+'s understanding, leading to more accurate, complete, and consistent schema generation.
0%
Token Efficiency Gain
The optimized prompt explicitly defines each field's type.
The optimized prompt distinguishes between required and optional fields.
The optimized prompt specifies the 'items' type for the 'tags' array.
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