Architect of a Zero-Human Company

Hand operations over to AI agent teams and keep control for yourself

Agents take on marketing, sales, support and financial reporting — the repetitive work that has rules. Strategy, brand voice and key decisions stay with you.

Who it's for: business owners with customers and processes who don't want to grow headcount for routine work, yet aren't ready to give up control.

Up to 50 founders per cohort 13 weeks plus a prep week 4 checkpoints

We'll send the participation terms and offer a time for a short call

Situations

When you need this program

The program is especially useful if you recognise your company in at least one of these situations.

01When leads go cold because no one can reply and you're distracted.
02When reports, invoices and reminders are assembled by hand.
03When the team stalls on routine questions they've answered before — while the hard decisions still rest on you.
04When you've already tried AI tools but they don't add up to a system you can trust.
05When the business grows but hiring people for routine work gets more expensive — and harder to manage.
06When all knowledge about your processes lives in your head, and any holiday or urgent trip puts work on pause.

The program gives you order: what to hand over, what to keep, and how to check the result.

Result

What you take away

By the end of the program you'll have six working elements of the system — from a process map to a dashboard and a 90-day plan.

A working server with a system of agentsThe system lives on your server and moves with you, with no tie to the course platform.
A process map and an applicability scoreThe answer to which of your processes can really go to agents — and which cannot.
A decision matrixClear rules: what an agent does on its own, what it does with your approval, and what it never does.
An AI model-choice matrixChoosing a model by testing it on your own tasks, not by leaderboards.
A compliance matrix for your clients' marketsAn understanding of the rules in your clients' markets. It helps frame questions to check and does not replace legal advice.
A board report, a dashboard and a 90-day planA regular review of operations and a clear next step after the program.

Instead of constantly switching between tasks, you get a single control loop: what happened, where a human is needed, and how much the system spent.

Method

How the program is built

Agents are not trusted with all the work at once. Autonomy is granted after the result is verified at each checkpoint. That way you see the system works before it gets more authority.

1wk 2
The process map and the decision matrix
Get clearance to deploy the first agent
2wk 4
A working agent in reporting mode, an action log and limits switched on
Low-risk actions in reporting mode
3wk 8
Model choice, spend control and audit
Actions within approved boundaries
4wk 13
The compliance matrix and the project defence
A plan to expand autonomy

If you miss it the first time, there is one revision within a week.

Trust step by step
Practice on your own operations
The laws of different countries
Control over the server and keys
Ownership: the server, accounts and keys are under your control. We discuss the terms of data processing by external AI providers separately when choosing a model.
Comparison

Why not hire or build it yourself

OptionWhen it's betterWhat remains a problemOur approach
Hire an employee or assistant
When it's betterWhen you need empathy, live judgement and a personal presence with the client.
What remains a problemHeadcount grows for routine work; hiring, managing and controlling stay with you.
Our approachWe teach you to build a system where agents execute operations and decisions stay with you — without growing headcount for repetitive work.
Outsource to a freelancer or agency
When it's betterWhen you need one-off expertise for a specific task.
What remains a problemDependence on one person; the system and knowledge don't accumulate in-house.
Our approachYou get the system and the skill to run it yourself, instead of buying a service for a period.
Build the automation yourself
When it's betterWhen you have deep technical experience and plenty of time.
What remains a problemHigh risk of quitting halfway; no process map and no checkpoints.
Our approachWe give you a 13-week route with four checkpoints and practice on your business.
Take another AI course
When it's betterWhen you need a general understanding of the technology.
What remains a problemThe course doesn't assemble your operations or verify results on your processes.
Our approachThe program ends with a working server, a decision matrix and a project defence in front of the cohort.
Content

Five modules

Weeks 1–13: modules, practice and the project defence.

5 modules · 63 lessons · weeks 1–13
01Module 1. Foundation: what to hand over to agentsWeeks 1–211 lessonsWhat you can hand over: the decision on which processes to hand over and which to keep

You break your company down as a system of processes, measure what the routine actually costs, and decide what can go to agents and what must stay with you.

Result: a process map, an applicability score and a decision matrix.
01What a zero-human company is made of
02Where the model works and where it breaks
03Scoring: is your business a fit
04How to read cases: proven, claimed, unknown
05Flow map: how work moves through your company
06Who does what and where manual work hides
07Measurement: how much time routine really takes
08Agent economics: what a completed task costs
09What always stays with a human
10Decision matrix: what an agent does on its own vs with your approval
11Minimum compliance: AI disclosure, data, consent
02Module 2. Core: your first agent, memory and model choiceWeeks 3–516 lessonsWhat you can hand over: reporting mode and a company knowledge base for your first agent

You launch your first agent in Paperclip, give it your company knowledge base, and choose an AI model by testing it on your own tasks — not by leaderboards.

Result: an agent in reporting mode, a regulation base and a model-choice matrix.
01An automation scenario or an agent: which fits you
02Triggers, conditions, actions
03The four files an agent is made of
04The loop: assess — decide — execute — measure
05First agent: Hermes in Paperclip
06Why agents make mistakes without context
07The regulations an agent works by
08Knowledge base: where your company knowledge lives
09Decision log: the memory of the whole company
10How to make an agent answer from your documents
11Which AI model to pick: an overview
12Testing models on your 30–50 real tasks
13Where your data lives and who sees it
14Model routing and the cost of a completed task
15What to do if a model is unavailable in your country
16Agent budget: limits, the 80% threshold and the kill switch
03Module 3. Departments on agentsWeeks 6–818 lessonsWhat you can hand over: the client department and financial reporting under a decision log

You put two processes into production: a client department for your vertical and financial reporting. In parallel you launch an acquisition channel and see how our own operations are built.

Result: the module goal — launch two processes under a decision log and prepare a weekly report for the board.
Client department — lessons picked for your vertical
01Where leads get lost
02Lead capture and auto-qualification
03The customer path from payment to first result
04The first front-agent in chat: boundaries and tone
05Clean escalations to a human
06Early warning on risky customers
07AI disclosure to customers and multilingual support
08The human exception: when to hire people
Finance
09A weekly report for the board
10Invoices and payment reminders
11An anomaly-detection agent
12Taxes and customers paying from different countries
Acquisition
13Choosing a channel for your market
14A content pipeline under the founder's control
15Positioning and honesty about AI
16Your first 10 customers: what not to hand to agents
LeadUp AI from the inside
17How our operations work: departments, agents, loops
18What worked, what broke, what we returned to humans
Additionally, the program also includes an optional library: administration and contracts, the founder's assistant, extended marketing and industry cases.
04Module 4. Control: stay in charge and stay compliantWeeks 9–109 lessonsWhat you can hand over: more autonomy for the system within approved boundaries

You learn to keep the system under control and understand what rules apply in your clients' markets, wherever you live.

Result: a compliance matrix and a requirements register.
01Reliability: retries, fallback models, emergency mode
02Incidents: how to investigate a failure
03Four axes of jurisdiction: client, data, provider, company
04EU: AI Act and GDPR — what applies to your company
05US and UK: the map of approaches
06Countries with data residency and AI-content labelling
07Deal and service restrictions: sanctions, export control, provider terms
08Workshop: the compliance matrix for your company
09Keeping up with changing laws: a requirements register in the knowledge base
05Module 5. Orchestration: assembling the whole companyWeeks 11–139 lessonsWhat you can hand over: the full agent org chart and a regular board report

You design the agent org chart, assemble a control centre and defend your project in front of the cohort.

Result: a dashboard, a board report and a 90-day plan.
01Org chart: board, CEO-agent, departments, executors
02Start with three to five agents
03Clean handoffs and shared context
04How several agents work together
05Control centre: metrics, spend, incidents
06A report for the board
07Growth without growing headcount
08A plan for the next 90 days
09Preparing for the defence
Stack

Stack and labs

Practice runs on the tools our own operations run on.

Orchestrator
Paperclip
Agent org chart, roles, budgets, action log, a single dashboard.
Primary agent
Hermes
Memory, skills, the lab's front-agent, the customer channel.
Comparison option
OpenClaw
Behaviour comparison in chats and messengers.
Executors
Claude Code, Codex, Grok
Connected via adapters; Grok uses the community adapter.
Processes
n8n
Integrations, CRM leads, reports.
Orchestration and the agent loop are built on a portable stack: the logic can move if a tool changes. Server and model API costs are separate; you set the spending limits.
Lab

Workshops inside live sessions

Seven workshops: you work on your own server and on your own business tasks.

Week0
Server
VPS, security checklist, Paperclip, Hermes, keys and spending limits.
Week3
First agent
Hermes in Paperclip in reporting mode, agent files, wake schedule.
Week4
Processes on n8n
A scenario from trigger to action: CRM lead, weekly report.
Week5
Adapters and model choice
We compare Claude Code, Codex and Hermes across providers, plus Grok via the community adapter, on your tasks. We set budget limits.
Week7
Hermes as front-agent: customer channel, boundaries, escalations, isolation
The key workshop of the cohort.
Week9
Control and failures
Log, audit, fallback adapters, emergency stop.
Week11
Org chart and dashboard
Agent org chart, CEO-agent, control centre.
Inside

LeadUp AI from the inside

LeadUp AI is run by a team of AI agents on Paperclip, Hermes, OpenClaw and n8n. This is our current operation: 26 agent roles are used in the company's day-to-day work.

What we automated

Role orchestration and budgets on Paperclip, memory and skills on Hermes, integrations and reports on n8n, and the front-agent in the customer channel.

What went wrong

Agent failures, incidents on provider loops, escalation errors in the customer chat — straight from the action log, without glossing over.

What control we added after an incident

We moved part of the routine back to manual control, expanded the action log and audit, and set up fallback adapters and an emergency stop.

Instructor

Who leads

Vladimir Nagin

Vladimir Nagin

CEO & Founder, LeadUp AI

Entrepreneur with 30+ years in business, including international projects. Expert in AI automation and multi-agent operating systems, with a management business education. Has run 50+ AI deployments and 1000+ participants across courses, intensives and corporate programs.

Helps business owners hand operations over to agents with clear boundaries, budgets and founder control.

30+
years in business
50+
AI deployments
1000+
program participants
After the program

After the program you're not on your own

12 months of access to the Neurosborka PRO community is included in the program. Inside:

weekly 75-minute mastermind
90-minute workshops on n8n and AI agents (2 per month)
a 45-minute hot-seat case review
60-minute Q&A with experts
a monthly challenge: “build X in 7 days”
a daily AI digest
a library of n8n templates and prompts
early access to Neuromasterskaya 2.0 materials
a closed PRO chat
There is no automatic renewal.
Format

Workload, costs and week 0

Workload

5–7 hours a week in total

Short lessons, one 90-minute live session and practice on your business. Week 0 needs another 3–5 hours.

Costs

The server (VPS), model API usage and integrations if needed. We'll give an indicative estimate before the cohort starts. You set the limits.

Live sessions

Weekly, 90 minutes, two time slots, the recording stays with you. Practice runs on your business tasks.

Week 0

Preparing the server together

Together we set up your working server in a live session, following a step-by-step guide. You'll need a provider account, a bank card and a key from an AI model provider.

For the technical — the security checklist and server guide
  • SSH-key login, password login disabled
  • firewall: only SSH and HTTPS exposed to the outside
  • agent panel local-only, via a secure tunnel
  • keys in environment variables, not in plain files
  • guide: the whole stack on one server — from 4 vCPU and 8 GB RAM; minimum for Paperclip — 2 vCPU and 4 GB RAM, for Hermes — from 2 GB RAM; exact parameters are confirmed on the pilot
Server guide: from 4 vCPU and 8 GB RAM
Paperclip — 2 vCPU / 4 GB
Hermes — from 2 GB RAM
Who it's for

Is this program a fit

A fit

If you own or lead a business with customers and processes, want to hand operations to agents, and are ready to make decisions like a board of directors.

No programming required: practice runs on two levels — no-code and technical.

Not a fit

If you're looking for a “switch it on and it runs without me” button, can't set aside 5–7 hours a week during the program, don't want to work with a cloud server even with step-by-step help, or don't yet have customers or processes.

For the last case there's a training company case, but real-business results will be smaller.

Frequently asked

Is it really “without people”?

Strategy, brand voice and key decisions stay with you. Agents take operations under your supervision. “Fully without you” doesn't exist — and we say so honestly.

How much does the program cost?

We announce the next cohort's price at the start of intake. The terms cover the program content, workload, server and model costs, and community access. We'll send the terms and offer a time for a short call — no pressure.

Do I need a technical background?

No. Practice runs on two levels — no-code and technical. We help with the server deployment in the week-0 live session, following a step-by-step guide.

What happens after the program?

The server, keys and data stay with you. You leave with the system, a decision matrix, a compliance matrix, a board report and a 90-day plan. Agent autonomy then expands at the next checkpoints.

What about community access after 12 months?

12 months of Neurosborka PRO are included in the program. After that, access does not renew automatically — the decision to continue is yours.

What data does the AI provider get and how do I control it?

Data is passed to an external provider when you choose a model — we cover the processing terms at the model-choice checkpoint. The server and keys are under your control, and you set the spending limits.

What if the AI provider I need isn't available in my country?

In week 0 you'll get a list of working options and a plan B. The model-choice matrix is built on testing models on your tasks, not on a single provider.

What if my business isn't a fit?

You can check this before paying. After the request we'll offer a short call and honestly say whether the program fits your business. If doubts remain, in the first lessons you'll build a process map and an applicability score: it shows which functions can go to agents and which are better left with people.

If your business only partly fits — for example, part of the work requires judgement or is regulated by law — you'll automate what you can and keep the rest with you. If you don't yet have processes or customers, you can take the program on a training company case, but real-business results will be smaller.

Don't want to build the system yourself?

We'll build it for you — done-for-you.

Zero-human company, done-for-you →
Application

Apply for the next cohort

Limited to 50 founders. Leave a request and we'll send the participation terms and offer a time for a short call.

We reply within one business day · no commitment

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