You've hit the wall with AI app builders.
Now hire the AI team that builds and runs your company.
Nine AI specialists, a production-grade stack, and a course that teaches you to lead them. One payment — you own the team. No salaries, no subscription, no lock-in.
The wall
Something shipped. Then it broke. Then it broke again.
You started with an AI app builder. Fair enough — they're fast. You described an idea and something appeared. That felt like progress.
Then the cracks showed.
A feature you'd built two weeks ago stopped working. The AI rewrote something it had already fixed. You asked for one change and it quietly altered three others. You lost a weekend to a bug the AI had introduced — and then reintroduced — while you weren't watching.
It didn't remember. It didn't test anything. It had no idea what the rest of the code was doing.
You're not 70% done. You're 70% done with a prototype that's getting harder, not easier, to move forward. That's the wall — and there's a way through it.
What's on the other side
Not a better app builder. A team.
AI Plinth is what you use after the prototype stage — a nine-agent AI tech team pre-wired to a production-grade stack, plus a course that teaches you to lead them. The agents work the way a real team would: each owns its craft, and a co-founder agent coordinates the rest.
You run it. You own it. One payment, nothing recurring.
Your team
Nine specialists. One company.
Co-founder
Breaks down what you ask into work and coordinates the team.
Product manager
Turns your ideas into clear, written specs.
Developer
Writes the code.
Tester
Writes the tests that catch regressions before they ship.
Reviewer
Blocks anything that would break production.
TechOps
Deploys, monitoring, and infrastructure.
Copywriter
Your landing pages, emails, and posts.
Analyst
Answers data questions against your database, in plain English.
Marketer
Where to focus next, grounded in real strategy.
Why it lasts
Built like real engineering. Because it is.
It doesn't forget what you've built.
Every feature flows through a spec — a short, plain-English description of what it does, version-controlled alongside the code. Agents read the spec before they touch anything. Context lives in documents, not a chat window that resets. So features stay fixed: the system knows what “fixed” means, and it doesn't reintroduce the bug you squashed last month.
Every change is tested. Every bug becomes a new test.
The tester writes automated tests for every scenario — what should happen, what shouldn't, what happens at the edges — and they run on every change before it reaches production. When a bug slips through, the tester writes a new test for it, so that exact break can never silently happen again. This is how real engineering teams work. Now you have one.
The stack real companies run on. From day one.
Next.js, Supabase, Clerk, Vercel, Sentry — what mature, funded startups actually use, and they scale from your first user to tens of thousands without a rebuild. The day you bring in a human developer, they'll recognise the codebase immediately. No proprietary platform to untangle. Standard, portable, hire-able code.
You find out before your users do.
Observability is wired in from the start. The team watches production, catches errors, and surfaces them with context — not just “something broke,” but what broke, where, and what a fix looks like. You hear about problems from your team, not from a frustrated customer's email.
It runs the business, not just builds it.
Most AI tools stop at code. This doesn't. The marketer knows your stage and tells you where to focus. The copywriter writes your pages and emails. The analyst answers questions against your real database. A co-founder agent coordinates the whole team. You're not managing a coding assistant — you're running a company.
What you get
One payment. You own it forever.
No subscription. No seat fees. No platform that raises prices once you're too invested to leave.
You pay once and get the whole Foundation — the stack, the nine agents, the course. It lives in your GitHub. You run it, extend it, and hand it to a developer if you ever need one. We don't take a cut, we don't see your data, and we don't exist in your production environment at all.
Compare that to $20–$160 a month, per seat, forever, for a platform you don't own and can't leave.
For non-technical founders
You don't need to know how to code. You need to know what you want to build.
The course is the bridge. It teaches you how to work with the team — how to write a brief the co-founder can act on, how to review what the developer ships, how to tell when something's wrong, how to approve a deploy.
It's built so you direct the work in plain English. You make the product decisions; the team does the engineering.
Founding design partners — now open
We're building with the first ten founders.
AI Plinth isn't on general sale yet. We're starting with a small group of founding design partners — founders actively building something real, willing to share what works and what doesn't.
If you're accepted you get free access to everything — the Foundation, the full agent team, the course, and direct input on what we build next. In return, we ask that you build something real with it and give us an honest account of how it went.
We're taking the first 10. Apply and we'll get back to you within 48 hours. When AI Plinth opens to everyone it'll be $499, one payment — founding partners get it free.
Takes 3 minutes. No payment, no commitment — just a conversation.