Intent and taste, for the age of agents

Stop relaying work between agents. Start directing it.

Electronic Brain gives every person a layer that learns their intent and taste from their real decisions and data, then directs a governable swarm of agents on their behalf, with approvals, per-person limits and an auditable record.

PR #482 · merge to staging Example
Approved by Maya’s twin
matches 96% of her past calls

Agents became the workforce. People became their relay.

Agents finish the work in minutes. Then it waits on a person to approve it, choose between options, or pass it to the next agent. The eng lead comes back to 40 pull requests opened overnight. The sales lead finds a dozen discount requests queued by the outbound swarm. The more agents you run, the more your best people turn into routers.

01 · The core

Agents can do the work. They can’t tell what you’d want.

Models lack taste and struggle with true intent. Not because they can’t learn it, but because no one has given them the labels, and every decision you make is one. Electronic Brain learns from what you actually do: the reviews you approve, the discounts you grant, the options you pick, the data behind each call. Over time it learns more than single decisions. It learns how you decide.

Each twin runs on a fast decision model built from that person’s own choices. It answers instantly, so agents keep moving instead of waiting on a human.

02 · Shadow learning

It watches first. Then it earns the right to act.

  1. 1Shadow.It observes and predicts every decision, and scores itself against what you actually did. Nothing changes in production.
  2. 2Suggest.Your answer arrives pre-filled, ready to confirm in one tap.
  3. 3Act with undo.It makes the call and tells you, and you can reverse it.
  4. 4Act.It clears the routine calls you’d rather not think about, and hands back only what really needs you.

Autonomy is earned one decision type at a time. Your twin can merge to staging on its own while it still only watches discount approvals. You approve every promotion, and an override sends it back a step.

Three steps ahead. Once it knows how you decide, it lines up what comes next, preparing the next approvals and choices before your agents have to ask.

Opt-in, always. Each person turns on their own twin and decides its limits: what it may touch, what it may decide, and who it never answers for.

You decide what it may touchExample
PR merge → stagingAct
Discount under 15%87% agreementShadow
Spend approvalsNever
Never answers for:legalHRpricing
03 · What it directs

A governable swarm, in your own cloud.

Your layer directs a swarm that plans the work, builds the agents and tools it needs, and runs them in your private cloud, on the models and harness you choose. Built by the Electronic Brain team and running in production for enterprises.

04 · SimulationNext

From one person to the whole company.

One twin learns one person. Hundreds of them, each shaped by real decisions and data, become a mirror of your organization. Run scenarios against it before they’re real: a launch, a pricing change, a reorg, your Head of Sales leaving mid-quarter.

  • Human to human, not just human to computer.It models how people decide with each other: who pushes back, who defers, where a decision stalls.
  • Grounded, not synthetic.Every simulated person comes from a real twin, not an invented persona.
  • The same agents.The agents in the simulation are the ones you run in production.

Simulations read from your company and never write to it. Every real outcome makes the next run sharper.

05 · Your team’s judgment

Every call makes every twin sharper.

Every approval, review and override becomes a label, across every tool your team uses: code, CRM, billing, chat. An assistant inside one tool sees one slice of how you decide. Electronic Brain sees all of it, and gets better with every decision your team makes.

06 · Accountability

People direct. People stay accountable.

  • Every action, attributed.An auditable record shows whether a human, a twin or an agent did it.
  • Your twin, your rules.Per-person limits, and a list of things it never answers for.
  • Back to shadow anytime.Send any decision type back to watching with one switch.

It’s not replacing your team. It’s giving everyone a stand-in for the parts of the job that shouldn’t need them.

What we believe

Models lack taste and struggle with true intent. Yet intent is the key to AI’s next chapter: personal agents acting on behalf of their people, and simulations of how people decide.

Agents are becoming the new working class, and people have become their relay. We’re removing the relay, not the person. Every person will need a personal layer that knows their intent and taste, acts with their approval, plans three steps ahead, and models how people decide with each other, not only with computers.

Start in shadow mode.

Your twin watches for two weeks and shows you how often it would have decided like you. Nothing changes in production until you say so.