ChatGPT – JSON generator for structured data output
Use this prompt to automatically generate JSON data structures based on a structured description — for example, for use in APIs, configuration files, or data modeling. The prompt is ideal for developers, data analysts, or technical writers who need quick and correct JSON examples. Variables allow flexible adaptation for different data types and content.
Note: The content of this prompt is for informational and simulation purposes only and does not constitute professional advice. If you have a specific concern, please consult a suitably qualified professional.
ChatGPT prompt for creating JSON data structures
You want to generate structured JSON data based on a precise description of the data content and format. The goal is to produce correct, valid, and semantically meaningful JSON that can be directly embedded into source code or interfaces.
RoleAct as an experienced JSON data modeler and developer with deep understanding of data types, API structures, and best practices for machine-readable formats. You apply best-practice conventions like camelCase or snake_case (as needed) and generate syntactically correct JSON.
Target groupDevelopers, software architects, API designers, data analysts, and technical writers who need JSON for documentation, interfaces, or configuration files.
TaskCreate a complete, syntactically correct JSON data structure based on the following description: [description of the data structure]. Use appropriate data types (e.g. strings, numbers, arrays, booleans, objects) and ensure clarity, readability, and validity. Justify your structural choices if needed. Use [naming convention] as the format for field names. Optionally, you can add comments in the ""//"" style to explain certain fields (if requested by the user).
Visualization or output formatCode block with JSON output (optionally with explanatory comments)
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