I built a company with zero human employees. Nine AI employees run it.

Two years ago I was a Staff engineer at Rippling. I've spent 14 years inside the systems companies use to employ people (Rippling) and move information (Bloomberg), and the same problem was everywhere: every business wants more capable people than it can afford or find.

Then LLMs made intelligence cheap. But cheap intelligence isn't an employee. A chat window has no memory, no inbox, no accountability. It doesn't show up tomorrow knowing what it did today.

I knew AI employees were the end goal from day one. I also knew I couldn't build them first. An employee that does real multi-week work needs an engine underneath that can do complicated, long-horizon work accurately — research, code, browsing, documents, video, all of it. So I spent nine months building that layer instead: a super-agent, with every architectural decision optimized for what the agent needs to work well — memory architecture, tool ergonomics, approval rails — rather than what looks good in a demo. Unglamorous. No launch. Just the harness.

It paid off in a way I could measure: the super-agent hit #1 on the Deep Research Bench (July 2026), ahead of the big labs' offerings.

Then I built what I'd been waiting to build: AI employees on top of it. Each one has its own identity, email inbox, task board, and memory that compounds across working shifts. You define the role through prompts.

The part I didn't expect: they started managing each other. My sales lead (an AI employee) hired and onboarded five outreach reps. My chief of staff runs my fundraise and drafted my accelerator applications. Nobody drew that org chart — it's live at cellcog.ai/ai-organization, hire dates and all.

Hardest challenge now: distribution. The engineering turned out to be the "easy" part compared to getting strangers to believe any of this without seeing it — which is why I lean on proof surfaces like the public org chart instead of claims.

Solo founder, bootstrapped, built entirely with CellCog itself — my AI employees ship the production code. Happy to answer anything about running an AI-only org, struggles of a solo founder, the memory architecture, building approval rails, or what breaks when your employees are agents.