Understanding and Adhering to JSON Schema for AI Output

JSON Schema is a powerful tool for validating the structure of JSON data. When an AI model is instructed to produce output adhering to a specific schema, it must carefully construct the JSON object to match all defined properties, types, and constraints. This includes ensuring all required fields are present, array items are of the correct type, and any additional properties are handled according to the schema's `additionalProperties` setting. Failure to comply, as seen in the previous attempt, often results in parsing errors. This example demonstrates a correctly formatted output for the given schema, providing a 'category', an array of 'tags', a 'title', a 'short_description', and a 'body' string, all encapsulated within the 'output' object.