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.

Human Hand Reaching For Right Side

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.

Markdown

Behavioral trace

commits, edits, calendar

Systems of record

CRM, tickets, billing

External sources

profiles, interviews, articles

Internal sources

logs, docs, wikis

External sources

Internal sources

Behavioral trace

Systems of record

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.

Agent

01

Start

Connect internal and external sources

Connect a single source

Generate your first skills.md

Complete data privacy and security check

Plug it into a single agent

01

Start

Connect internal and external sources

Connect a single source

Generate your first skills.md

Complete data privacy and security check

Plug it into a single agent

02

Scale

Roll it out across the team.

Add internal and external sources

Model people, process, and data together

Build a shared, versioned library

Standardize with templates

02

Scale

Roll it out across the team.

Add internal and external sources

Model people, process, and data together

Build a shared, versioned library

Standardize with templates

03

Operate

Run it as living infrastructure.

Serve files through the API

Auto-sync as sources change

Monitor usage and drift

Govern access and retention

03

Operate

Run it as living infrastructure.

Serve files through the API

Auto-sync as sources change

Monitor usage and drift

Govern access and retention

Your people, as markdown.

Boss as a Markdown

A file of how your boss critiques: their standards, their red lines, the thing they always ask for. Your agent runs your draft through it first, flags the line they'd push back on, and rewrites the framing they'd want. You hand over a version that survives the review, instead of guessing what they'll hate.

Client as a Markdown

Drop in a client's name and your notes. The skill captures how they decide, what they actually care about, and where deals go cold with them. Your agent drafts the outreach in their language, has the objection answered before it lands, and walks you into the call already three moves ahead.

Colleague as a Markdown

A teammate's working style, priorities, and context in one file. Your agent hands off to theirs and the work keeps moving in their format and their voice, overnight, across time zones, while they're asleep. No status meeting, no quick sync, no waiting on a reply to make progress.

Boss as a Markdown

A file of how your boss critiques: their standards, their red lines, the thing they always ask for. Your agent runs your draft through it first, flags the line they'd push back on, and rewrites the framing they'd want. You hand over a version that survives the review, instead of guessing what they'll hate.

Client as a Markdown

Drop in a client's name and your notes. The skill captures how they decide, what they actually care about, and where deals go cold with them. Your agent drafts the outreach in their language, has the objection answered before it lands, and walks you into the call already three moves ahead.

Colleague as a Markdown

A teammate's working style, priorities, and context in one file. Your agent hands off to theirs and the work keeps moving in their format and their voice, overnight, across time zones, while they're asleep. No status meeting, no quick sync, no waiting on a reply to make progress.

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.