TOON vs JSON The Data Format Shift Developers Can’t Ignore.

Описание: Stop wasting tokens and confusing your LLMs.
If you're still pushing verbose JSON into AI prompts, you're bleeding efficiency.
TOON (Token-Oriented Object Notation) is built for AI-native workflows — cleaner structure, fewer tokens, better model accuracy.

In this video, I break down TOON vs JSON with real examples, side-by-side comparisons, and a live conversion demo.
You’ll see exactly where JSON fails for LLMs and how TOON fixes the bottlenecks.

What you’ll learn:
Why JSON becomes a liability in AI prompts
How TOON reduces token usage and improves clarity
Real-world examples of JSON → TOON conversions
When TOON makes sense (and when it doesn’t)
Code demo for using TOON in JavaScript
Practical rules for adopting TOON in production AI systems

If you're building AI apps, autonomous agents, or long-context workflows — this is mandatory knowledge.

Chapters:
00:00 – JSON’s hidden problem
00:40 – What TOON actually is
01:10 – Side-by-side comparison
02:25 – Why token savings matter
04:10 – Live conversion demo
06:00 – When to use TOON
07:15 – Final insights

Official TOON specification (GitHub repo / spec) : https://github.com/toon-format/spec?u...
TOON project overview (GitHub) : https://github.com/toon-format/toon?u...
FreeCodeCamp / explainer on TOON for LLMs: https://www.freecodecamp.org/news/wha...
Recent community benchmark / comparison article: https://dev.to/akki907/toon-vs-json-t...

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