How I run a business with 181 skills and 0 employees
I don’t have a team. I have a system.
181 skills. 44 agents. One AI that handles strategy, sales, marketing, engineering, and operations.
This isn’t theoretical. It’s how I actually work.
The co-founder wall
Earlier this year, I hit a wall with a co-founder partnership. Different expectations. Different execution speeds. Different definitions of “ready.”
The conventional wisdom says: find a better co-founder. The execution bottleneck is a people problem. Solve it with people.
I tried a different approach: solve it with systems.
Two months
I spent two months building LeanOS Pro. Not as a product to sell — as a system to use.
The goal: handle everything a small team would handle, but without the team.
Strategy: Market research, competitive analysis, positioning. Sales: Prospect research, outreach personalization, pipeline management. Marketing: Content strategy, narrative creation, campaign execution. Engineering: Specs, code generation, testing. Operations: Goal tracking, decision frameworks, learning capture.
Each function became skills. Skills got orchestrated by agents. Agents got connected through a shared context — the Canvas that holds business strategy.
What it actually looks like
Monday morning. I need to write a blog post about AI transparency.
Old way: Open a doc. Stare at blank page. Research competitors. Draft something. Revise. Two hours minimum.
LeanOS way: Run the mkt-content-strategizing skill. It pulls from my positioning docs, my brand voice, my proof library. Suggests angles I hadn’t considered. Draft comes out aligned with everything else I’ve written.
Still need to edit. Still need my judgment. But the blank page problem is gone.
The functions
Sales. I don’t cold email manually anymore. The sls-prospect-researching skill finds relevant companies. The sls-outreach-personalizing skill drafts messages that actually reference their situation. I review, adjust, send.
Marketing. Content comes from the narrative-creator pipeline. It reads my positioning, my personas, my objection library. Outputs are on-brand because the brand is in the system.
Engineering. Product specs get generated from requirements. The intentir-agent transforms them into structured implementation plans. Code generation follows.
Strategy. Every decision goes through a 6-stage flow. Input → Hypothesis → Implication → Decision → Actions → Learning. The learning feeds back. The system remembers.
What I’m not saying
I’m not saying AI replaces human judgment. It doesn’t.
I still make every decision. I still review every output. I still do the work that requires taste, context, and relationships.
What AI replaces: the blank page. The context assembly. The repetitive research. The first draft that’s just organizing information.
The solo founder bottleneck
The conventional wisdom about solo founders: you can’t scale. You need a team. One person can’t do sales AND marketing AND engineering AND operations.
This was true. It might not be true anymore.
Not because AI is magic. Because AI + systems let one person operate at the velocity that used to require three or four.
The bottleneck isn’t capability. It’s context. Assemble the context correctly, and the capability follows.
Proof
I’m not asking you to believe me. I’m asking you to try it.
LeanOS Core is free. 14 skills, 2 agents. Clone the repo, copy .claude/ to your project, run a skill. See if it changes how you work.
For those who want more
LeanOS Pro is 181 skills and 44 agents. The complete system. $249 for early adopters (first 50), then $499. Not a subscription. Yours forever.
I built it for myself. Now it’s available for anyone hitting the same wall I hit.
Proof over promises. Execution over ideas. Transparency over black boxes.