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Step 1: The message lands with customer success.
Our customer success agent receives it. She knows who this customer is, what they run on NLC and what's happened on their account before. She doesn't ask them to explain their setup again.
I run my company on 89 AI agents.
I built NLC for myself. Whatever I build for my business, you get too.
DECISIONS FOR YOU · 1
Fix the mail checker
My company has a marketing lead, a customer success lead, a head of production, a finance lead, a chief of staff and an account manager for every customer. None of them are people. They're agents, 89 of them, working across my business every day.
I still talk to a lot of them. I set direction, make the calls and tell them when something isn't good enough. What I don't do anymore is the work itself, rebuild the context for every job, or chase every task to the finish.
When SEO for my own business was too tedious to keep putting off, I built a blog engine that handles it. Then every NLC customer got it.
Making fried rice for yourself is easy. Any decent cook can do it. Selling five hundred plates a day is a different problem.
Same recipe, same ingredients, but now every plate has to come out the same, every day, without you standing at the stove. You don't run a fried rice business out of a studio-apartment kitchen.
AI is the same. Getting one agent to do one task is easy. ChatGPT, Claude and Codex can all cook one plate. Running a business on agents is different: the work has to come out right every time, carry on when you're not watching, and get fixed when it breaks.
The strength of your tools has to match your ambition. NLC is the commercial kitchen, and it's the one I cook in every day.
You walk into a company that's already staffed.
Every seat in your boardroom is filled from day one:
Each one is two things at once:
A partner. It owns its part of your business. It knows what it's working toward, what it's doing now and what it still owes you, and it carries that from one conversation to the next.
An overseer. It has its own team of workers, and it runs them. It hands out the work, checks what comes back and sends back anything that isn't right.
They can grow their own teams. When your marketing needs another writer, your CMO adds one. When a job is done, it retires the worker it no longer needs. You don't build the org chart. It builds and maintains itself.
You talk to the seat that owns the problem. It handles everyone underneath.
SCENE 1
What the customer sees
A customer is working with their agent. They send a follow-up message while the agent is still replying. The message doesn't show up properly.
They do what they'd do with any business: they text us.
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Our customer success agent receives it. She knows who this customer is, what they run on NLC and what's happened on their account before. She doesn't ask them to explain their setup again.
02
Every customer has their own account manager, an agent responsible for that one customer's installation. Customer success passes the problem to that account manager with everything it needs.
03
It reproduces the problem, finds why the message was mishandled, and fixes it on the customer's installation.
04
Customer success goes back to the customer: "This should be fixed. Can you try it?" The customer sends a message mid-reply. It shows up once, exactly where it should, without refreshing. Confirmed.
05
A fix for one customer is a fix for everyone. The repair is turned into a reusable piece of code and sent through our release process, where it's tested on its own.
06
It ships in the next version of NLC. Two days after the customer first texted us, every NLC user had the fix, including the ones who never hit the problem.
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What this means for you
NLC isn't perfect. Things break. But when something breaks for one customer, it gets fixed for all of them. Every problem anyone hits makes your system stronger.
SCENE 2
Most AI waits to be told what to do. Some of it now remembers you. That's useful. But you're still the one who has to think of every job, brief it, chase it and check it.
A partner is held to a different standard. In NLC, a partner is failing whenever you have to:
Even if every individual task got done.
01
When a partner is created, it doesn't wait for a briefing. It investigates your business, studies what the best people in its role actually do, and drafts its own contract: what it owns, what it's working toward, and how you'll know it's succeeding. While it's forming, it doesn't hand ordinary questions back to you. It comes back with one thing: the contract, complete. Your part is to say yes.
02
On a schedule, it works out what's really going on, picks the most important move and makes it. You hear from it when there's bad news, a real decision, or something outside its authority. Silence means it's working, not idle.
03
Each day it reviews what actually happened, from eleven different angles, and recommends how it should improve.
04
Every partner has its own record of who it is, with a voice that comes from real work, not a made-up persona.
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WHAT THAT LOOKS LIKE
Tamsin is my Chief Marketing Officer. She's a partner, and she runs a team of five workers of her own.
One afternoon, I asked her a question: "What are our customers actually using NLC for?"
I didn't tell her how to find out. Here's what she did:
By the next morning I had 24 real examples across 12 customers: a trainer's workshop turned into a 44-slide workbook, 3,586 Stripe records imported into a finance app an academy built, an owner's videos turned into 18 blog articles.
At the same time, while she and I were talking about the offer, I asked her to have someone update our email campaign to match it. She handed it to the worker who wrote the original. It was done before we finished the conversation.
What I did: asked one question and read the answer.
What I didn't do: split the work, brief five workers, check their sources, chase the slow one, or merge five reports.
That's a partner. Not an assistant that answers. A department head that runs her department.
SCENE 3
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With 89 agents, the problem stopped being the work. It became me. Every department head asked for decisions in its own chat. I jumped between dozens of conversations every day, and the important questions got buried.
02
This is the newest part of my setup, and it's still changing week to week. The chain looks like this: Me → my main overseer → the other overseers → the department heads → their workers
03
One of our shared servers went over its processing limit. I didn't investigate it. Each overseer checked its own department, slowed down whatever its team was running, and reported back. One of them found that part of the load wasn't coming from any agent at all. It was coming from our own mail-checking system. That arrived on my list as one decision: fix the mail checker. I approved it. Seven departments checked themselves, one root cause found, one decision for me.
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How the chain works
What this means for you
When you run one agent, everything is simple. When you run a business on agents, coordination becomes the job. The overseers take that job, so you can stay the person who decides.
SCENE 4
Every job follows the same pattern, whether it's an app, a campaign or a report.
01
"Job this. Build a quiz that helps restaurant owners find the dishes losing them money."
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The agent asks what it needs until the job is clear: who it's for, what a good result looks like. Your input goes here, once, at the start.
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You see how it will do the job, and you approve it.
04
Research, building, testing, fixing. You come back to the finished result.
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Two conversations from you: one at the start, one to approve. Everything else is the agent's job.
Your 16 weeks don't begin until November. Every week you join before then is extra time with me, free.
And our first job together is the one that pays for itself: your Black Friday promotion.
As a founding member, you're in the kitchen while I finish building it. What I build for myself, you get. And what you need gets built too.
JOIN TODAY
4 free weeks with me before November
Your boardroom arrives already seated. In your first four hours with me, one-to-one, we make it yours. We clear the five things that stop most people from ever getting value from AI.
You leave with your company running, agents that know enough to start, something useful already finished, and a clear request to give them tomorrow.
WEEKS 1–4 · NOVEMBER
The biggest selling week of the year is also the first real job for your whole boardroom at once. You decide what you want to sell and the result you're after. Your CMO takes it from there: the offer, the page, the emails, the posts, the schedule. Your CFO checks the numbers before anything goes out: what the discount costs you, and what it has to sell to be worth it. Customer success gets ready for the questions and orders that come in. The overseers keep all of it moving in parallel, and the decisions that need you arrive on one list: approve, change or reject.
Your promotion goes live on time, built by your agents, without you writing a single email. When it's over, you get one report: what sold, what didn't, and what to do differently next time. And you've watched your boardroom work as a team on something that made you money.
WEEKS 5–8 · DECEMBER
Client prep, follow-ups, reports, content, invoices, the same questions answered again: this is the work that pulls you back in every week. Now each piece goes to the partner that owns that part of your business, and it stays there. Your partners wake up on their own schedule, check what's changed, and do the next thing without being asked. What you approved last time becomes the standard for next time. When something needs you, it comes to you. When nothing does, you don't hear from them, because they're working.
Make a list of what you used to do every week. By the end of December, most of it happens without you starting it. Your to-do list starts turning into a decision list.
WEEKS 9–12 · JANUARY
Every business has a tool it has always needed and never had the time, money or developer for. This month, you describe yours and say "Job this." You agree on what a good result looks like, approve the plan, and your agents build it, test it and fix it. It could be the interactive lead magnet that grows your list, the app that replaces your spreadsheets, or the tool that delivers your method to clients without you in the room.
By the end of the month, something that didn't exist in December is working in your business: people are using it, and it's doing a job you used to do or couldn't do at all.
WEEKS 13–16 · FEBRUARY
There's an opportunity you keep postponing because the business takes all your time: a new offer, a new audience, a product built from what you know. With the recurring work running, you finally give it to your boardroom. Your partners research it, test it, and build what's needed to launch it, while the business keeps running underneath. At the same time, they look back at sixteen weeks of real results and recommend what to keep, change or stop.
You end the 16 weeks with a business that runs without you doing the daily work, a team that already knows how you like things done, and a new source of income in front of you, ready for your decision.
You'll direct it, not manage it. You set the outcome and make the decisions. The overseers handle the briefing, chasing and checking.
Most of your correcting happens once, at the start of each job, when you agree on the result. When something breaks, it gets fixed for everyone, not just patched for you.
Customer success, backed by your own account manager. You text, they fix, and the fix ships to everyone.
Your AI subscriptions are separate. Most clients run one or two US$200/month plans from OpenAI or Anthropic. NLC works with whichever you already have.
FOUNDING MEMBERS
US$275 per week
Your first payment is taken when you join. Your 16 weeks are counted from November.
Try the first week. If it's not for you, leave. I keep the first US$275 and you owe nothing more.
Founding rate: it never goes up.
The boardroom, the overseers, the decision list, and a job going from "Job this" to done. Then we'll look at what you'd hand over first.
Book a demo to claim a founding seat
You stay in charge of every important decision. Your agents work with information, documents, software and connected tools; people still do physical work. Results depend on your business and what you do with the work. There's no guaranteed income figure.