Loading…
You and AI, unified
Walk the Way
Substance over volume.
Proof over performance.
Human and machine, side by side.
Slow is not the enemy//Slop is
You and AI, unified
Substance over volume.
Proof over performance.
Human and machine, side by side.
We use cookies to understand how you use this site and improve your experience. Privacy Policy
YounndAI Object Notation™
Data, intent, provenance, and thought — in one stream.
One package — the parser, generator, runner, and the rest of the toolchain.
npm install @younndai/yonVerifiable
Transport formats move data between machines. Prose and markdown are readable but unstructured. YON fills the gap between them — structured and parseable, line-oriented, readable by people and parseable by machines — and it holds what neither was built for: data, intent, provenance, and thought, in one stream.
Every record line is independently parseable. No global schema required. Enter mid-stream and understand. It is not a JSON replacement — different category, different job: YON is a format for writing meaning, not just moving values.
Built for a reader that can’t scroll back.
Every format before YON assumes random access. The new reader is a streaming model that can’t backtrack — so the data is there the moment the line arrives.
What is — the structured facts.
What it will do — the constraints.
What happened — the audit trail.
What it thinks — the reasoning.
Skills, protocols, and configs a model acts on directly — like the Open Skills YON ships.
A model writes YON and each line is usable the moment it lands — no waiting for a closing brace.
The same file a strict parser and a language model can use — no translation layer in between.
~5%~0%
structural overhead vs minified JSON
~30%~0%
leaner than prose, at scale
~99%~0%
recovery under truncation
+22pp+0pp
budget-tier comprehension
Each number against its baseline. The comprehension gain is cheap-model economics — budget-tier models reading structure they couldn’t parse from prose — not a universal claim.
We run our own stack on it — and others we’re not naming yet.
The direction: authoritative data published agent-ready — structured and attributable — read without a translation layer.
We run our own stack on YON today — and we're building toward more of it speaking one structured stream.
Where it's heading: data, intent, provenance, and thought as one stream a system reasons in — first line to last.
Say less, get understood better.
YON and YounndAI Object Notation™ are trademarks of MARLINK TRADING SRL.
