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For teams where everyone builds their own brain

You want every agent run to be better than the last, for you, and your customers.

Compound with Clarity.

Right now every person builds their own local brain — and the company keeps siloing its intelligence. Clarity stacks every personal harness into one compounding company brain, in your walled garden.

Clarity API enterprise pilots · Custom quote

Company brain is a Clarity API pilot for source-connected decisions and scoped context reuse. Explore the pilot · Compare the distinct offers

01 / 05 · THE SILOS

Every run captured — and owned by the company.

A plugin sits beside the coding agent each person already uses. Every run it sees lands in one harness, with the verdict that judged it.

Scroll to explore · illustration of permitted learning

Old world · 01

Everyone builds their own local brain.

  • Context, skills and corrections stay on one laptop
  • None of it reaches the people next to you
  • The company keeps siloing its intelligence

New world · 01

Every run captured — and owned by the company.

A plugin sits beside the coding agent each person already uses. Every run it sees lands in one harness, with the verdict that judged it.

Capture the run

The harness Runs view: every agent run, grouped by agent, each row showing its review state
Runs — every run, filterable by review state.

Old world · 02

Every harness looks the same.

  • Everyone runs nearly the same harness
  • You can’t shape it to how you think
  • Different roles, one-size-fits-all setup

New world · 02

A harness shaped like the person using it.

Clarity builds a digital twin of each person — their goals, their judgment, their taste — so your harness is n = 1, not one-size-fits-all.

Carry personal judgment

An agent’s harness page: versions over time, the live system prompt, and the grading rubric
The harness — versions, system prompt, grading rubric.

Old world · 03

A shared skill is a fraction of a harness.

  • Skills get passed around without their context
  • They half-work for everyone else
  • Nobody knows which version actually worked

New world · 03

What one agent learns helps the next.

Each agent has context, tools and checks. Review a useful lesson, then share it with team and company context where permissions allow. The next agent can reuse the lesson.

Build · Product · Review agents → Team → Company

Personal agent → human review → team → company → next agent

Illustration: review a source correction, approve its sharing scope, then reuse it across permitted agents.

Mission control: every agent across the workspace, its runs, verdicts waiting, and review state
Mission control — every harness, one view.

Old world · 04

Your judgment walks out the door.

  • Expert taste lives in heads, not systems
  • Generic evals don’t know your domain
  • Day one looks nothing like day 365

New world · 04

Private evals your company owns.

Every verdict becomes a reusable private eval — intellectual property that compounds, so a day-one teammate works like a day-365 one.

Bank reviewed judgment

Try it — judge a real run

MER-508 Chargeback evidence packet — assembled from the dispute timeline

Old world · 05

Your data can’t leave the building.

  • Third-party memory means third-party risk
  • Locked to one model, or one cloud
  • Yet another observability stack to adopt

New world · 05

Your company brain lives in your walled garden.

Self-hosted: a Postgres database in your own cloud. Model-agnostic, cloud-agnostic, and bring your own observability — if your traces already live somewhere, the harness meets them there.

Keep knowledge within your boundary

Speed without compounding is just expensive slop.

The promise

Every verdict compounds.

The harness closes the loop: capture the run, deploy the agent, review with a verdict, learn from the correction. Today's annotation is tomorrow's default. Week one feels like review. Week six feels like leverage.

  1. CaptureEvery run recorded, receipts attached
  2. DeployThe agent runs your workflow
  3. ReviewYou give the verdict in minutes
  4. LearnCorrections banked into the next run

The promise

Every verdict compounds.

The harness closes the loop: capture the run, deploy the agent, review with a verdict, learn from the correction. Today's annotation is tomorrow's default. Week one feels like review. Week six feels like leverage.

Clarity Loop

Capture

Every run recorded, receipts attached

Deploy

The agent runs your workflow

Review

You give the verdict in minutes

Learn

Corrections banked into the next run

Continuously improving

Proof

We've helped real businesses with AI — from YC startups to $2B companies.

We can help you too.

The Harness direction · coming soon

Clarity Harness. Free OSS, coming soon.

harness_ui

The full harness UI

Mission control, run views, judgment queue — the exact interface in the screenshots above.

run_capture

Runs with receipts

Every run recorded: source input, agent chain, tool calls, decisions taken and not taken.

verdicts

The verdict system

Approve, edit, reject, defer — annotations persist as structured data, not Slack threads.

datasets

Versioned datasets

Corrections become a dataset with lineage — dev, staging, prod — that regenerates your agents better.

mcp_serve

MCP serve

Point Claude Code or any coding agent at your harness — orchestrator calls the agent, agent calls the skill.

setup_guide

Our setup playbook

The internal guide we used to stand up our own harness. Release scope and timing are not yet announced.

Free OSS Clarity Harness is coming soon. AI-native services start at $100k+. Clarity API enterprise pilots for company brain and hyper-personalization are custom quoted. Explore company brain.

Built in the open

A community for builders who believe agents deserve better than vibes.

The harness ships free and open source because the thesis is bigger than a tool. This is the Clarity bet — and we're building a community of AI builders who share it:

◆

Subjectivity is the missing primitive

Autonomy doesn’t come from bigger models. It comes from knowing whose goals, whose judgment, and whose context a run answers to.

◆

Alignment is layered

Individual, team, and organization goals aren’t the same thing — a real harness reconciles all three instead of pretending one prompt covers it.

◆

Closed loops beat bigger prompts

True autonomous agents are grown, not prompted: run → verdict → learn → run again, with the human judgment banked every cycle.

If that's your thesis too, don't just star the repo — come build the loop with us.

Scaling past your own harness? Company-wide harnesses are the layer we build with design partners — see the company brain →

Clarity API enterprise pilots · Custom quote

Join the company-brain pilot waitlist.

Explore a scoped company-brain API pilot for your people and agents. Scope, integration and evaluation criteria are agreed for the pilot.

Discuss a custom-quoted API pilot →

Clarity API pilots are custom quoted