10-week live build - Founders only
Your Business Doesn't Have an AI Problem. It Has an Operating System Problem.
You've got the tools. ChatGPT, Claude, a dozen open tabs. What you don't have is AI running anything inside the company. In 10 weeks, you install the operating system that turns scattered experiments into deployed workflows, clear ownership, and leverage you can measure on the P&L.
12 seats. Application only. Cohort 1 starts TBD.
7 figures
Bootstrapped SaaS revenue. No venture cushion.
8 years
Operating the business, not teaching from the sidelines.
3 businesses
Running on this AI operating system, in public.
12 seats
In Cohort 1. Every application read by Craig.
This isn't AI theory from someone watching the wave from a stage.
I'm rebuilding my own companies AI-native while I teach this. The wins, the misses, the costs, the workflows, the agents, the numbers - all of it is the curriculum. You don't get a polished keynote. You get the operating notes from inside real businesses, while the paint is still wet.
Castos
My seven-figure podcast hosting SaaS. I'm rebuilding support, growth, operations, and team workflows around AI - then showing you exactly what moved in the business.
FounderLevel
A media and education business growing on AI-assisted production, research, distribution, and audience systems. You see the engine, not just the output.
This cohort
The program itself is built in public - offer, pricing, curriculum, delivery. You watch an AI-native business take shape while you build yours.
AI is everywhere in your tabs. Almost nowhere in your company.
You've tried ChatGPT. Your team has poked at a few tools. There's a clever prompt saved somewhere. And yet the business still runs exactly like it did a year ago: manual handoffs, founder approvals, slow marketing, overloaded calendars, and too much of the company trapped inside people's heads.
- 01Every AI win I find disappears the moment a busy week hits.
- 02I'm still the routing layer for decisions, content, sales, support, and ops.
- 03My team has the tools. What they don't have is a system for using them.
- 04We improve one workflow at a time - when someone remembers to.
- 05I couldn't tell you what should stay human, what should be AI-assisted, and what an agent should own.
- 06Competitors are compounding speed while my business waits for AI to 'click.'
"That's not an AI problem. It's an infrastructure problem. Prompts don't compound. Systems do."
Craig Hewitt
Founder, Castos & FounderLevel
Teaching from the operator's chair - running Castos and FounderLevel every week, in public.
Still operating. Still shipping. Still accountable to the numbers.
I'm Craig Hewitt. I've spent 8 years bootstrapping Castos into a seven-figure SaaS business. No venture money. No oversized team. No room for advice that sounds good on a podcast but falls apart by Monday morning.
For years, I was the system. The business ran on my memory, my judgment, my follow-up, and my willingness to push work over the line. AI helped - but not because I stumbled onto one perfect tool.
The shift came when I stopped treating AI like a personal productivity trick and started treating it like business infrastructure: mapped workflows, clear ownership, agents with guardrails, and a weekly rhythm for making the company sharper.
That's what we build together in this cohort. You install your AI operating system while I keep installing mine - same weeks, real businesses, numbers on the table.
From AI tools to an AI-native operating system.
The goal isn't to get better at using AI. The goal is a business that gets faster, sharper, and less dependent on founder force every single week.
Diagnosis
Tool sprawl->Leverage map
You stop chasing the feed and see exactly where AI can pull drag out of the business.
Execution
Manual work->Deployed workflows
The work you do by hand gets rebuilt into documented workflows and agents the business actually runs on.
Ownership
Founder routed->Team owned
Every workflow that matters gets a human owner, a defined AI role, and a way to tell if it's working.
Cadence
Random experiments->Operating rhythm
AI improvement becomes a weekly habit instead of a side project that dies the first busy week.
What leverage looks like once the system is installed.
Cohort 1 is the first group, so these are composite scenarios built from the outcomes this system is designed to produce - not verified customer results. Real founder stories land here as they ship.
I was the bottleneck on every proposal, every brief, every QBR. A few months in, AI drafts the first version of our proposals - and our win rate is up sharply - plus client reporting and meeting prep. I let two contractors go, revenue climbed, and I haven't worked a Saturday in months.
Our content engine used to take two weeks from idea to live. Now it's closer to a day and a half. Email revenue is climbing because we finally test as fast as we ideate. The real unlock: I had enough time back to make my first Head of Ops hire in five years.
What changes when AI becomes infrastructure
Not inspiration. Not a longer list of tools. A visible before-and-after in how the business actually runs.
Where you are now
- AI scattered across tabs and private chats
- Still approving and routing too much yourself
- Marketing and sales follow-up done by hand
- No shared map of where AI should go
- A team unsure what AI is allowed to own
- Every busy week erasing your best experiments
Where Week 10 leaves you
- An AI operating system documented and running
- 5-10 workflows or agents deployed in the business
- One AI-leveraged growth channel live
- A clear human / AI ownership map
- A weekly rhythm for finding and shipping AI wins
- A 90-day plan for the next layer of leverage
What you walk out with
Your AI Operating System
A practical map of how AI fits into your business: what stays human, what becomes AI-assisted, what can become agent-led, and who owns each part.
5-10 deployed workflows
Real systems shipped into the places where your business leaks time: support, content, sales follow-up, ops, reporting, research, or finance.
One AI-leveraged growth channel
A live channel that uses AI to increase speed, consistency, or output - content, outbound, retention, partnerships, or product-led growth.
A team adoption rhythm
A simple cadence for surfacing AI opportunities, testing them, documenting what works, and turning wins into repeatable company behavior.
A 90-day leverage roadmap
A concrete plan for the next quarter: which workflows to deepen, which agents to improve, and where AI can create the most business value next.
How the 10-week build works
Three phases. Each one installs a piece of the operating system. You're not watching lessons - you're shipping inside your own business.
The goal
AI That Runs in the Business
Move from scattered personal AI use to company infrastructure: mapped workflows, deployed agents, shared ownership, and a rhythm that keeps compounding after the cohort ends.
Milestone 01
Diagnose the Constraint
Find where manual work, founder routing, and slow handoffs are costing the business most.
Founder Constraint Audit
Map the work that still depends on you: decisions, reviews, approvals, content, sales, support, ops, and follow-up.
AI Leverage Map
Rank the highest-value places to apply AI by time saved, revenue impact, risk, and ease of deployment.
First AI Win
Ship one useful workflow early, so the program starts changing the business before the strategy gets fancy.
Milestone 02
Build the Workflows
Turn the best opportunities into systems that produce reliable output without founder force.
Workflow-to-Agent Ladder
Decide what stays human-led, what becomes AI-assisted, and what is ready for an agent with guardrails.
Agent Design Sprint
Design the first real agent around inputs, triggers, quality checks, failure points, and the human owner.
Agent V1 Build
Deploy a working version into the business. Small enough to trust. Real enough to measure.
Milestone 03
Install the Rhythm
Make AI improvement part of how the company operates, not a founder side project.
AI Adoption Rhythm
Create a weekly cadence for surfacing use cases, reviewing wins, improving workflows, and assigning ownership.
Team Playbooks
Document the workflows your team will actually use, with clear roles for people, AI, and review.
90-Day Leverage Roadmap
Leave with the next quarter planned: which systems to scale, which agents to harden, and which bottleneck to remove next.
The usual AI fixes don't solve this
"We already use ChatGPT."
Good - the raw material is there. But individual tool use isn't an operating system. The work is mapping where AI belongs, assigning ownership, and turning one-off wins into workflows the business runs on.
"There are too many tools. I don't know where to start."
We start with the business, not the feed. The AI Leverage Map ranks opportunities by pain, value, risk, and speed. Then you build from the highest-leverage constraint first.
"I don't trust AI to do real work yet."
You shouldn't trust it blindly. Every workflow gets a human owner, guardrails, review points, and a rollout path. We're after useful leverage, not reckless automation.
"My team won't adopt this."
Adoption dies when AI gets handed down as a mandate. We build the rhythm so your team helps find, test, document, and improve the workflows they'll actually use.
"I don't have time for another program."
That's exactly why this is a build, not homework. The early work targets hours you're already losing. If the system isn't giving time back, it isn't doing its job.
This is a small room for serious operators
Cohort 1 is intentionally narrow. The work only works when founders show up with a real business, real constraints, and a willingness to deploy.
This is for you if
- You're a bootstrapped founder running a real business at $100K-$2M+ in revenue.
- Your model can be anything: SaaS, agency, ecommerce, productized service, brick-and-mortar, or info business.
- AI is already on your radar, but it hasn't become company infrastructure yet.
- You're still too central to decisions, marketing, sales, support, ops, or delivery.
- You want leverage before you default to another hire.
- You'll ship, test, and document - not just collect ideas.
This is not for you if
- You're pre-revenue or still validating the idea.
- You want passive AI education with no implementation.
- You want someone to transform the company while your team watches.
- You're after prompt tricks with no connection to running the business.
Cohort 1 pricing
Cohort 1 is the first installation group, and the price reflects it. It goes up as the system gets sharper. This is the lowest this program will ever be.
Cohort
The full 10-week implementation build.
$2,000
one-time - Cohort 1 beta
- 10 weeks of live group coaching
- All three installation phases and nine build projects
- Weekly working sessions + office hours
- Private cohort community
- Session recordings for one year
- AI-Native Founders alumni network
Cohort + VIP
The build, plus direct access to me.
$4,500
one-time - Cohort 1 beta
- Everything in Cohort
- 3 private 1:1 strategy sessions with Craig
- Priority hot-seat every week
- Direct async line for the full 10 weeks
- First-year access to the Boardroom tier when it launches
An honest promise instead of a hype one: a truly AI-native business isn't built in a weekend. In 10 weeks you install the first operating system - map, workflows, agents, ownership, rhythm, and roadmap. Deployment isn't a bonus here. It's the graduation requirement.
The same shift, measured in time and money.
Composite scenarios based on the kind of results this system targets, not specific customer outcomes. The numbers move with the business - the pattern is what we build for.
I replaced my entire Tier-1 support seat with an AI agent that handles it better than the seat ever did. CSAT went up, resolution time dropped from hours to minutes, and the swap paid for itself many times over. Tickets never queue overnight anymore, and I sleep better for it.
I took my first three-week vacation in seven years. Sales calls kept booking themselves through an AI SDR I built in week 4 of the cohort. Revenue grew while I was gone. The cohort didn't teach me about AI - it showed me that I was the constraint.
Everything else you're wondering
What's the time commitment?+
Plan on 3-5 hours a week between live sessions, office hours, and build time. Most of that build time replaces work you already do by hand, so within a few weeks it should start paying you back in time.
Is this live or self-paced?+
Live. This is group coaching and implementation, not a passive course. Sessions are recorded if you miss one, but the value comes from building in rhythm with the cohort.
Does my business type matter?+
No. The AI operating system is portable. Cohort 1 is open to SaaS, agencies, ecommerce, productized services, brick-and-mortar, and info businesses. We build around your actual constraints.
Do I need to be technical?+
No. You need to understand your business and be willing to build. We design workflows and agents around how the work happens, and no-code and low-code tools are plenty for a strong V1.
What if my team is not ready?+
Then we start small. The system gives your team a way to see real wins, document what works, and adopt AI through useful workflows instead of abstract mandates.
What do I actually walk away with?+
An AI operating system map, 5-10 deployed workflows or agents, one AI-leveraged growth channel, a team adoption rhythm, and a 90-day leverage roadmap.
Install the AI-native operating system your business is missing
Cohort 1 is 12 founders. It's application-only because the room needs operators who'll deploy, not spectators collecting ideas. Tell me where the business is stuck and what you want AI to change.
I read every application myself.