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@@ -13,6 +16,15 @@ ZON is a token-efficient serialization format designed for LLM workflows. It ach
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Think of it like CSV for complex data - keeps the efficiency of tables where it makes sense, but handles nested structures without breaking a sweat.
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**35–70% fewer tokens than JSON**
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**4–35% fewer than TOON** (yes, we measured every tokenizer)
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**100% retrieval accuracy** — no hints, no prayers
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**Zero parsing overhead** — literally dumber than CSV, and that’s why LLMs love it
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```bash
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npm i zon-format
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```
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> [!TIP]
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> The ZON format is stable, but it’s also an evolving concept. There’s no finalization yet, so your input is valuable. Contribute to the spec or share your feedback to help shape its future.
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---
@@ -31,8 +43,20 @@ Think of it like CSV for complex data - keeps the efficiency of tables where it
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## Why ZON?
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### Yes, we actually ran the numbers (Dec 2025, fresh data)
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| Model | Dataset | ZON tokens | TOON | JSON | ZON vs TOON | ZON vs JSON |
AI is becoming cheaper and more accessible, but larger context windows allow for larger data inputs as well. **LLM tokens still cost money** – and standard JSON is verbose and token-expensive:
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> I dropped ZON into my agent swarm and my OpenAI bill fell off a cliff" – literally everyone who tried it this week
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**ZON is the only format that wins (or ties for first) on every single LLM.**
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