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An AI employee is a Naïve-scoped agent that belongs to one Company— its own identity, inbox, phone number, and whitelist of primitives it may call. - ›One giant 'do everything' agent fails for the same reason a one-person company fails. Specialized employees keep work bounded and auditable.
- ›Work flows through a CEO agent on Hermes: a stated objective becomes kanban tasks dispatched to the right employee every 15 seconds, with persistent memory across runs.
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Each employee has a real audit trail— every email, card swipe, and post is attached to its identity, not anonymized to 'the agent.' - ›
Operators stay in the loop for KYC, checkout, OAuth, and explicit approvals— the workforce handles operating work between those moments. - ›Start with one objective, one CEO, and two specialized employees; add more as you see where workload concentrates.
A company is its people. That sentence used to mean a building full of humans doing specialized work, reporting to a few coordinators, each carrying a piece of the operation. The work does not stop being specialized just because the people running it are not human anymore — if anything, it gets more specialized, because an autonomous company does not get tired and does not compromise on focus.
Naïve is the autonomous company infrastructure that turns this from a thought experiment into a workforce you can hire. The unit you hire is an AI employee: not a chatbot, not a prompt — a scoped role inside the runtime. For the hub narrative, read What is an autonomous company?.
What an AI employee actually is
In Naïve, the canonical model is Company → Employee → Primitive.
- The Company is the legal entity — a US LLC formed through
/formation. - An Employee is an AI agent identity scoped to that one Company.
- A Primitive is one of the 100+ real-world capabilities the Employee can call (per published docs).
The Employee is the seat in the org chart. It has its own identity, email, phone number, deliberate whitelist of primitives, and an audit trail that ties every action back to it. When the marketing employee sends email, it sends from the marketing employee — not from "the agent." When the finance employee swipes a virtual card, the swipe is tied to that employee's identity.
Why specialization beats one giant agent
There is a recurring temptation to want one model that does everything. A solo founder who writes marketing copy, runs sales, builds product, and handles support is — for about three weeks — extremely productive. After that, the seams show. A growing company hires specialists for bounded context, bounded blast radius, bounded responsibility.
The same is true of an AI workforce:
- A marketing employee owns brand voice, publishing, and social accounts — not the books.
- A sales employee owns outbound and inbound reply — not content production.
- A finance employee owns spend and has card primitives on its whitelist that marketing does not.
- A research employee has
/researchon its whitelist and feeds cited facts back to the others.
Specialization is how you keep work auditable. When something is wrong — a missent email, a bad post, an unexpected charge — you want to know which seat did it.
How work flows through the workforce
The workforce runs on /orchestration:
- A CEO agent on Hermes plans and delegates — you give it an objective in plain language.
- A kanban board the CEO populates: tasks move
ready → in_progress → done. - A dispatcher polls every 15 seconds (per published docs), assigns ready tasks to employees.
- Persistent memory carries Company context across runs.
- Cron for repeating work — daily posts, weekly digests, monthly close.
You set the objective, hire the employees, and let the CEO dispatch. The Company runs as a workforce, not a chat thread.
What each employee owns
When you create an employee, you set up a real seat:
| Asset | What it means |
|---|---|
| Identity | Own ID, API key, logs by name |
| Primitive whitelist | Marketing gets /social, /image, /video; finance gets /cards |
| Contact surface | Own /email inbox and /phone number |
| Audit trail | Every primitive call logged against this employee |
| Scope | Belongs to one Company — cannot cross Company boundaries |
An employee is a seat, not a person. Replace the model behind the seat without losing history, inbox, or audit trail.
Where the human stays in the loop
Some steps require a verified person:
/kyc— founder verification before formation and cards/formation— Stripe Checkout for the formation fee ($249 per published docs — see pricing)- Connecting accounts — operator completes OAuth once; the employee reuses the connection
- Operator approvals — optional gates before irreversible actions
Everything between those moments runs on the employees.
How a founder actually hires
- Form the Company —
/formationfor LLC, KYC, EIN. - Create the CEO —
/orchestrationwith Hermes, kanban, memory; one concrete weekly objective. - Hire one specialized employee — content, sales, or ops; whitelist the right primitives.
- Let the CEO dispatch — watch kanban move.
- Hire the next employee once the first seat runs cleanly.
You are not building an army on day one. You hire the way a sane founder hires: one role at a time.
Where to go from here
- What is an autonomous company? — hub article
- Orchestration docs — CEO agent, kanban, cron
- Formation docs — form the Company first
Developers embedding agents into a multi-tenant SaaS should read the multi-tenant playbook — a different lens on the same runtime.
What is an AI employee on Naïve?+
How is this different from one giant 'do everything' agent?+
How do AI employees get work done?+
Can I hire as many employees as I want?+
What still requires a human?+
Where do I start hiring?+
Building the autonomous company infrastructure.
An autonomous company is a real legal entity run by AI employees instead of humans. Here's what one looks like, what it can actually do today, and how a non-technical founder can start one.
AI workforce orchestration with a CEO agent, kanban task board, strategic objectives, cron scheduling, and persistent memory — so your agent can plan, delegate, and execute multi-step workflows without manual supervision.
Form a US LLC from your AI agent via KYC, hosted checkout, and end-to-end LLC filing. Registered agent, state filing, and EIN application are included in the published formation fee; the Company becomes the substrate for cards, domains, and email.
Provision a real email address for every AI Employee with DKIM, SPF, and DMARC configured automatically. Send, receive, schedule, and triage — with deliverability built for agent-volume sending.