Modern AI systems are hitting a new kind of bottleneck. It is not CPU, memory, or network bandwidth. It is tokens.
With large language models (LLMs), every character sent and received is tokenized, processed, and billed. At a small scale, this cost is easy to ignore. At enterprise scale, it becomes a first‑order architectural concern. This shift is driving interest in formats designed specifically for AI communication, such as TOON (Token‑Oriented Object Notation).