Clarity — Company Brain
Your best people's judgment — captured, versioned, and served to every teammate and every agent. For software teams becoming truly AI-native: 10–100x across workflows, not 10%.
Open-source harness · your repo keeps the brain · walk away anytime
The Clarity Harness — your experts review, your agents learn.
The AI-native gap
Key-person risk
Tribal knowledge doesn’t scale. Your sharpest people are needed everywhere and become the bottleneck by default — reviews queue behind them, handoffs lose context, and when they leave, the knowledge leaves with them.
“We cannot run a two-billion-dollar company on the backs of fifty people with tribal knowledge.”
The bottleneck moved
Coding agents multiplied your throughput, not your judgment. Without your domain context they generate plausible work your experts then reject line by line. The constraint is no longer typing speed — it’s whose brain the agent is running on.
“How deeply do you understand payroll?”
Governance at AI speed
The people who guard privacy, compliance, and quality face a bad trade: slow everything down, get run around, or accept the risk. Their judgment is repeatable — it just isn’t written anywhere an agent can use it.
“I want us to ship so fast humans can’t keep up — without me becoming the bottleneck.”
You can't clone your best people — but you can capture how they judge. The Clarity Harness turns their tacit knowledge into versioned, governed context that works everywhere they can't be.
Your experts’ judgment becomes working agents — a privacy reviewer, a story writer, a requirements extractor — not another wiki nobody updates.
Experts approve, reject, and annotate in minutes. Every correction is versioned like software and feeds the next generation of the agent.
One MCP link puts the brain inside every coding agent and every workflow — the context layer your 10–100x tooling was missing.
How it works
Knowledge bases go stale because writing them is nobody’s job. A company brain is built from work your team already does — and gets better every time an expert corrects it.
01
Drop in what already exists — meeting transcripts, docs, tickets, review threads. The harness extracts structured learnings and proposes work: stories, specs, requirements, reviews.
02
Your experts give verdicts, not rewrites. Approve, reject, annotate — minutes per item instead of review cycles. Every correction is recorded in their own words.
03
Annotations feed the next regeneration. The dataset is versioned like software — dev, staging, prod — so the brain measurably improves and every expert hour keeps paying out.
04
Serve the brain to everyone: an MCP link into any coding agent, a reviewer riding along in every workflow, a new hire onboarding against your best people’s judgment on day one.
Own your brain
An agent is a set of files backed by a versioned dataset — in your GitHub, inside your boundary. Built on the open agent standard the ecosystem is converging on.
The harness UI and pipeline are open source. Our engagements are services: we build the brain with your experts. Walk away any day — the agent and dataset go with you.
Deploy on your cloud, point it at your approved model endpoints, constrain what it may read. Sensitive domains can run entirely inside your walls.
The brain proposes; your people hold the verdict. Every output carries its lineage — who approved what, when, and why — so trust is auditable, not assumed.
We're taking a handful of design partners: teams that ship software, feel the AI-native gap daily, and want their experts' judgment running in every workflow. You bring a burning workflow and the experts. We build the brain with you — in your repo, on an open standard, yours to keep.
Apply to be a design partnerLimited design-partner slots · first agent live in weeks · you keep the agent and dataset even if you walk away