// solo entrepreneurs · AI systems

Every tutorial shows you the setup.
Almost none show you how to run it.

I teach solo entrepreneurs how to build an AI employee — and how to actually keep it running. Planning, building, and the part everyone else skips. Every step. No gate.

start here see the build →

// 20+ years in tech · ex-AWS · building in public

// the stuck state

You bought the course. You built the workflow. It's been sitting there for three months.

That's not your fault.

Every AI tutorial ends right where the real work starts. They show you how to install the tool. They show you the workflow turning green. Then they stop — or they point you at a paid community for the rest.

The setup is the easy part. Nobody teaches you what week four looks like.

Not building stuff.

Still being stressed.

Still running everything by hand.

Here's what's actually going on — and how to fix it.

// the system

An AI employee, explained like a recipe.

Three steps. In order. No steps gated.

step 01 / 03

Plan it.

Think through what you're trying to build before you touch a tool. Write it down — a one-page plan, a feature list, a clear goal. AI accelerates a plan. It doesn't replace one. (I learned this the hard way — I rebuilt the same app multiple times because I skipped this step.)

step 02 / 03

Build it.

Set up the system using real tools — Claude, n8n, whatever fits your stack. I'll show you the actual build: the tools, the connections, the costs, and the parts that break. Not just the green-light moment.

step 03 / 03

Run it.

This is the part everyone skips. What does week four look like? What breaks silently? What does it cost to keep running? AI handles ~80% of the execution. You do the final 20% — the decisions, the judgment calls, the things only you can do.

see how I'm building mine
// who's teaching this

20 years building systems. Now building in public.

I'm a solutions architect. I've done sysadmin, engineering, DevOps — all of it, for 20+ years. While I was at AWS, I helped build a global internal AI application that served the entire company.

That's when I realized: every business is going to need this. And most of the people teaching it have never actually built anything at scale.

So I left. And I'm building the system I teach — right here, in public, with real numbers including the ugly ones.

// credentials 
career arc:
  sysadmin → engineering
  → DevOps → solutions architect

highlight:
  built a global internal AI app at AWS
  (served the entire company)

stack I've personally built with:
  Claude · n8n · AWS
  Postgres · Docker

currently:
  $0 revenue
  ~$800–1,000/mo burn
  $2K/mo goal
// real numbers · updated as they change

This brand runs on the system I teach.
Here's what that actually looks like.

I'm not going to tell you this is easy and show you a screenshot of a Stripe dashboard I can't verify. I'm going to show you the real build — what it costs, what breaks, what works, and what I'd do differently.

The ledger is in the build log. Every entry. Including the ones where things went sideways.

// brianbenwah.com · AI employee build running
Revenue $0
Monthly burn ~$800–$1,000
12-mo goal $2,000/mo minimum
Stack Claude · n8n · AWS
// no gate

The whole thing. Not half of it.

  • How to plan an AI employee before you build it (the step everyone skips)
  • Which tools to use and why — real names, real costs, real trade-offs
  • How to wire the system together so it actually runs
  • What the operation layer looks like: week one, week four, month six
  • What breaks silently and how to catch it before it costs you
  • How to let AI handle ~80% of the work while you make the decisions

"They gatekeep the real stuff and sell you the little bullshit because they want you to buy more."

— that's the thing I refuse to do.
// right fit

This is for solo builders who are willing to do the work.

// this is for you if

  • You're a solo entrepreneur, solo founder, or small business owner
  • You've watched other creators in this space and thought "I need to do this"
  • You've bought a course on AI or automation and stalled at implementation
  • You're willing to put in the time to build something that actually runs
  • You want to run your own business — not sell automations to clients

// this is NOT for you if

  • You want someone to do it all for you
  • You're looking for passive income with no effort
  • You're an enterprise team (wrong scale, wrong content)
  • You want motivation — I don't do that. I do systems.
// next step

Start with the orientation page. It'll tell you exactly what this is, who it's for, and what to do first. No email required.

start here