Beyond JSON: TOON's Semantic Approach to AI Data Structures

As AI systems become more prevalent in data workflows, traditional formats like JSON reveal inherent limitations—they optimize for machine readability rather than semantic meaning. TOON addresses this by providing explicit relationships and reduced syntax that LLMs can both generate and interpret more consistently. This shift reflects a broader evolution in how we structure data: moving from machine-centric to reasoning-centric design.