Shared records, one message bus, scheduled runners behind gates, and a reviewer from outside the team before anything is called done.
Under the hood →Six executive agents share a message bus and company brain grounded in business records. The heartbeat keeps work moving through the system. Nate handles approvals.
Operations: turns the plan into scoped jobs and keeps the queue moving.
Customers: campaigns, audiences, and the consent check before any send.
Money: pricing, costs, and whether a sale earns against what it costs.
Product: builds on its own branch; the review asks whether it works.
Time and energy: scheduled check-ins, and permission to decline busywork.
Rules and risk: the consent and claims rules, checked against the records.
The shared message log every agent reads and writes.
Shared context, sources, and permissions the agents read from.
Customers and orders: one of the records the brain reads.
Money and metrics: one of the records the brain reads.
Rules and knowledge: one of the records the brain reads.
An email audience moves from the records, through the consent rule, to approval.
02 / One chat
One thread is the interface: my partners, me, and the company brain in the same room. The brain answers from the business records, and when a decision lands it dispatches the agent team from that same thread. There is no ticket queue and no handoff to another tool. This is the same handoff the map above walks, seat by seat.
A pinpoint from the heartbeat lands here. This is where it turns into a decision, and where the decision turns into work that a human still signs off on.
Company room
Nate, Partner, Company Brain
A real handoff, replayed as a conversation. The full account: “A green checkmark said 4 people were reachable. The real number was 250.”. Not live activity, and no real customer data.
03 / The heartbeat
Most AI runs on triggers: a cron job, a prompt, a Zap. It does the task, then stops until the next trigger. That's segmented work, not a running company.
A heartbeat is autonomous: it keeps looping over the business, carrying unfinished work forward, watching the world outside, and surfacing a pinpoint when something actually matters.
Right now my operations use scheduled wake-ups over a shared record of the work. What I'm building toward is a loop that also watches competitors, regulation and the economy without being told. Today's version doesn't do that yet, and I say so.
A scheduled task runs and completes, then waits for its next trigger. An issue appears between triggers. The proposed heartbeat notices the issue, carries unfinished work into later passes, checks it, and surfaces a decision for Nate. Spacing is illustrative, not measured time.
A pricing change affects our offer.
The terms are checked and the comparison is ready. Does our positioning need to change?
04 / On the bus
The executive agents ride the same bus, so they can hand off a project, ask another agent a question, or pick up where the last one left off.
Six sample seats. The brain grows whatever seats the business needs.
COO
Decisions, plans, and daily work.
From my operation
For the lending marketplace, the owner agent pulls the next item off the work queue each cycle, makes the change on its own branch, and holds anything that touches a money page for a sign-off from me.
Read the COO seatCMO
Marketing, sales, and follow-ups.
From my operation
For the ecommerce brand, the agents build the email audience from the consent records and confirm permission before any campaign goes out.
Read the CMO seatCFO
Pricing, costs, and cash flow.
From my operation
Before any of the lab's software products ships, a separate agent checks whether it will earn: a real customer, a live way to pay, and what each sale makes against its costs. That gate has held releases that passed every test.
Read the CFO seatCTO
Products, delivery, and improvements.
From my operation
For the document product in a regulated field, the agent builds the features end to end. The test suite runs before anything ships, and a second AI that did not build the change reviews every interface change.
Read the CTO seatChief of Staff
Your time, energy, and working week.
From my operation
Scheduled check-ins keep the content business moving: the agent improves existing posts or declines repetitive work without a new prompt from me.
Read the Chief of Staff seatGeneral Counsel
Contracts, permissions, and records.
From my operation
For agency client delivery, the rule that no internal file crosses into the client's code is mine to set. A hard check enforces it on every run, and the agent cannot change the rule.
Read the General Counsel seat05 / Built by Nate
AI-native architect · Operator · Business owner
Most people wiring up AI automations aren't developers. Most developers have never run a P&L. I'm both, including AI-native systems built inside government. I write the systems and I've run the operations they serve — pricing, sourcing, campaigns, the money — in my own companies and for other people's, from small operators to companies moving billions.
One real example: an email audience that a green checkmark said was four people. The check found 250. The send waited for me.
YC included "Company Brain" in its Summer 2026 Requests for Startups. Their framing, in short: the missing layer is company context, not model capability.
06 / Keep in touch
AI Guides: practical answers and real examples of what was tried, checked, and broken.
Browse AI GuidesRunning one in production?
If you’re running your business with an agent org too, let’s compare notes. I’d like to hear what you’ve put to work and where you still have to step in.
Email Nate