Translate our
World into Markdown
The new layer your agents read before they act.






Built to run on the stack you already use
Openly AI
Stries
I Combinator
Radial
Vercex
Votion
XYZ
Search App
The missing Human-AI Intersection
The model is already there. The human layer is not.
Most of what your company knows lives somewhere a model can't reach.
We turn that reasoning into a new layer your agents can read and run.

Features
One engine. Four primitives.
The same engine turns your processes, your data, and your strategy into the format your agents were trained on. Point it at any of these and get back clean, structured, versionable Markdown.
People to Markdown
Encode how a person reasons and decides. Not just what they know, how they'd react.
Process to Markdown
Turn a workflow into a runbook the agent reads before acting, improving precision.
Data to Markdown
Convert metrics and logs into structured Markdown a model can reason over.
Strategy to Markdown
Encode your priorities. The alignment layer that keeps pointed at what matters.
The Integration Ecosystem
Built from the sources you already have.
From one skill to living infrastructure
Start with one skill and one agent. Roll it out across the team. Then run it as living infrastructure.


Your people, as markdown.
Frequently Asked Questions
Clear, zero-fluff technical and operational parameters regarding how we build, deploy, and secure your enterprise architectures.
Do you train your models on our data?
No. Your inputs build your skills. Nothing else.
Are you SOC2 certified?
Not yet. We're building to SOC2-grade practices and will tell you exactly where we stand.
Does the person we model get notified?
For skills built with someone, they're in the loop by definition. For inferred skills, notification no.
How do you handle predictions about a real person?
Anything inferred is labeled as a prediction inside the file, never written as fact. You always see what's known versus guessed.
What's the difference between inferred and authored?
Inferred is built about a person from raw plus public data, no consent loop. Authored is built with the person, from their own surveys and communications.
Do we get the platform and the API both?
Yes, both at launch behind the waitlist. Platform to build and govern, API to create and serve.
See it run in your stack.
Book 15 minutes. Show us your stack and we'll show you exactly where a skill drops in, how your agents read it, and what it takes to go live. We're taking a few design partners into paid pilots.
A straight look at how it plugs in.
You talk to a founder, not a sales rep.
Receive a clear deployment roadmap.





