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When building AI and LLM-based applications, one of the biggest hidden costs often comes from something simple — the format of your data.
Every {}, [], and " inside JSON counts as a token when you send it to a Large Language Model (LLM).
With big payloads or complex structured data, this can burn through tokens (and money) fast. ⚡️
That's where TOON (Token-Oriented Object Notation) steps in — a format designed specifically for LLMs to make structured data compact, readable, and token-efficient.
Someone reinvented yaml 😂
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I didn’t say anything because actually this thing’s been turned into a bit of a meme! You can kinda see that on average it uses less data, but that’s not true for every data size, and I don’t get how it’s supposed to work when you’ve got a structure inside another one.
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