Agent Fleet

Many models. One employer.

Big and specialist AI models do the work. I own the plan, the context, what they can touch, the budget and the check. That order matters more than which model you pick.

Problem

A wrapper with vibes, or a demo.

Give an agent your whole database and hope? A wrapper with vibes. Agents with no access to anything real? A demo. The industry keeps shipping one or the other.

Mechanism

From mission to checked work, drawn plainly.

MissionDispatcherCapability RouterProvider AdapterIsolated RunMCPOutputVerify

AI providers show up as small, equal worker badges. They’re great workers. They don’t run your company.

What's recorded

A run record.

Run record

the job
the mission's task, and only that
what I knew
frozen when the run starts
which model
whichever fit the job
each tool used
checked against its access
checkpoints
recorded as they happen
cost
in AI credits
how long
recorded
the check
from Verify

Worked example

Aster’s launch: five workers, one employer.

BrainisEMPLOYERReasonerRESEARCHCoderBUILDWriterCOPYVerifierEVIDENCEREVIEWFounderPARTNERCALLS

Drag sideways to see the rest

ResearchReasoning agent
BuildCoding agent
CopyCreative agent
Evidence reviewA separate checker (a different AI family)
Partner callsThe founder

No Brainis staff doing the work.

hover a worker · it slows, the line holds

Software missions

Your coding agents just got an employer.

Claude Code, Codex: the agents you already trust with your code take jobs from Brainis. Each gets a task pack with the spec section, what done looks like, and the code it may read. The agent works in its own space. The work comes back as a pull request on the review desk, with your tests running as a check. Deploys and merges to main wait for your yes. Done means merged and green, or handed to a person, on the record.

Software mission · handoff → review

Sample

Task capsule

  • spec section
  • what done looks like
  • code it can read

Pull request · review desk

onboarding flow — agent branch

  • CI · tests
  • CI · build
  • Verify · what done looks like

merge waits for your yes

The same rules that run your marketing missions run your software missions. One employer. Any worker.

Coming

What ships today: running the coding agents you already use. A built-in sandbox, where I write and run small pieces (scripts, connection glue, edits to a site section) inside Brainis, stays labeled until it’s real. This page never claims more than what’s shipped.

Our one rule

No agency inside.

Your team and my agents do the work, end to end. No one at Brainis does customer work, so nobody backstage is quietly fixing what the agents made to make it look good. When I can’t do something yet, you tell us and we build it into the product. We count those requests, and we aim to bring them to zero.

Each kind of task runs in its own sealed space (data, code, browser, messages, finance). A run either finishes exactly once or is safely tried again. And AI providers keep no lasting access.

And if every worker is rented, what do we own? The judgment underneath them. Foresight - the Business World Model decides what to ask, predicts what an action will do, and writes that down to check against what happens. Unlike the workers, it isn’t rented from anyone. See the stack →

UnderstandDecideDeliverVerifyLearn

Agents do what missions set out. Verify checks what they make.

The hard question

What if a provider goes down — or gets worse?

I move the work to the next model that can do it. How I rate each model comes from checked results, not their marketing. Any provider can be swapped out; that’s the point of making models the workers, not the system. Your company’s data, missions and history never live with a provider.