We use cookies to understand how you use this site and improve your experience.
It is 2 AM on a Tuesday. I am staring at a terminal window. The cursor blinks. It waits.
I have spent the last three hours debugging a pipeline. The logic is sound. The prompt is perfect. The model is capable. Yet the system fails. It fails because of a missing comma. It fails because a closing bracket arrived two seconds too late.
We are trying to run advanced intelligence on a file format designed for a blog comment section.
I used to love JSON. We all did. It was simple. It was the lingua franca of the web. It replaced XML. It felt modern. But that was twenty years ago. In technology years that is a geological epoch.
JSON was built for transfer. It assumes you have the whole message before you start reading. It assumes the data is static. It assumes the data is dead.
Intelligence is not static. Intelligence flows.
When I speak to you I do not plan the end of my sentence before I begin the start. I stream. You listen. We process in real-time. We do not wait for a closing bracket to understand meaning.
We are forcing our most advanced systems to think in blocks. We force them to hold entire tree structures in their limited working memory. We force them to spend precious cognitive cycles counting curly braces instead of reasoning about the problem.
This is why I stopped using JSON for agents. This is why I started using YON.
YON stands for YounndAI Object Notation. The name derives from the Japanese 四, meaning four. It represents four laws. The most important one is simple. Structure before scale.
When I wrote the documentation, I made a deliberate choice. It would not read like a technical manual. It would read like a manifesto. It would speak of a Quiet Law. It would speak of discipline with flow.
YON is line-oriented. It streams. Every line is a complete thought. If the connection dies halfway through, the agent does not crash. The system remembers everything up to that exact moment. It respects the physics of time.
I know how this sounds. Another standard. Another format. The instinct is to dismiss it as aesthetics. To dismiss it as noise.
Then I deployed it.
I watched an agent think in real-time. I saw the @THOUGHT tag appear. Then the @DECISION tag. Then the @STEP tag. It was not a data dump. It was a narrative. It was a transcript of a mind at work.
We have a choice to make. We can keep building these brittle towers of brackets. We can keep hoping the closing brace arrives. We can keep treating AI like a faster database.
Or we can start treating it like what it is. A partner.
Linguists have a name for this: the Sapir-Whorf hypothesis. Paul Graham's Blub Paradox captures the consequence. A mind trapped in a limited notation cannot perceive what a more expressive one would reveal.
The grammar we use shapes the thoughts we can think. If we speak to machines in the language of 1999 we will get results from 1999. If we want the future we have to speak the language of continuity.
JSON is for data. YON is for truth.
I am done speaking in brackets. The cursor blinks. But I do not wait anymore.
Loading comments…