The article introduces JSON Query, a versatile and expandable query language designed for working with JSON data. It provides a playground, documentation, and function references, showcasing various examples of querying, filtering, sorting, and transforming JSON objects and arrays. Key functionalities include the ability to chain methods and utilize operators for diverse data manipulation tasks.

The article introduces Token-Oriented Object Notation (TOON), a compact data format designed to reduce token usage when passing structured data to Large Language Models (LLMs). TOON is more efficient than traditional formats like JSON and XML, achieving up to 60% fewer tokens while maintaining readability and structure, particularly for uniform complex objects. It combines features from YAML and CSV to optimize data representation for AI applications.