Instruments / I — VI

Six instruments for accountable AI.

Each one answers a question that AI leaves open when it stops suggesting and starts acting. One is shipped, the rest say plainly where they stand.

  1. IArchymedes CLIWhat did it change?
  2. IIArchymedes DesktopCan I see it, and take it back?
  3. IIIArchymedes CloudWhat did it cost?
  4. IVOrionWhy this choice?
  5. VJARVISIs my machine still mine?
  6. VIThe LabIs it true in the real world?
Plate I / The PressDrag to turn

BuildShipped · open source

Archymedes CLI

What did it change?

Archymedes CLI plans, edits, runs and verifies in your terminal, on any model. Every step is visible, every change can be reviewed and undone, and you set the most a task may spend before it starts.

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Plate II / The WorkspaceDrag to turn

BuildIn development

Archymedes Desktop

Can I see it, and take it back?

Archymedes Desktop puts the agent, your files, real terminals and every change side by side. Each edit is snapshotted, shown as a real diff, and reverts in one click.

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Plate III / The ExchangeDrag to turn

RoutePre-launch

Archymedes Cloud

What did it cost?

Archymedes Cloud is a prepaid balance that works across models. Each call reserves a hard cap before it runs, is routed by the policy you choose, and returns a receipt that explains the route and the charge.

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Plate IV / The BalanceDrag to turn

DecideLaunching soon

Orion

Why this choice?

Orion turns a hard choice into options, factors and trade-offs. The AI structures your words and explains the result. The answer itself is computed by plain, repeatable math: the same inputs always give the same answer.

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Plate V / The LatticeDrag to turn

ProtectWorking system · launching soon

JARVIS

Is my machine still mine?

Agents run code with your credentials. JARVIS watches the machine they run on: what is running, what could take or keep control, and what has quietly changed. It works locally, keeps evidence, and tells you what it cannot see.

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Plate VI / The SurveyDrag to turn

MeasureResearch

The Lab

Is it true in the real world?

Beyond the products, the lab works on two things: grounding AI in the physical world, and making intelligence cheaper to run. Both follow one rule: validate a source before you trust it.

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