Live product
A product he owns and we operate. The claim is the running destination. Go press it.
03 · What he refused
We drafted bigger numbers. He asked how each one was counted. This is what survived. Every figure says its method, and every product is live.
One enterprise case from the eleven years before we existed. Three systems we run today. And the counting method, so you can check us rather than trust us. He does not trust us either. It is fine.
Three classes
A product he owns is not the same evidence as a client outcome, and neither is us. We wanted one big pile. He wanted labels. Every receipt below says which class it belongs to.
A product he owns and we operate. The claim is the running destination. Go press it.
Built for someone else's business. The claim is scoped to what he was responsible for, nothing wider. He drew the line himself.
Us. The platform that ships everything else. Inspectable, but not a customer story, and he would not let us present it as one.
A portal for 2,000+ users, delivered on Betty Blocks; operating costs down 50%.
Turns a Lovable build into a production handoff someone can actually inspect.
One governed control plane for an MCP surface that keeps growing.
Captures the evidence a bug report usually forgets to include.
From the engagements
Attribution is anonymised at the client's request: role and company type only. Each quote names an outcome rather than a feeling. He would not print feelings. We had some.
“I needed someone who could orchestrate a swarm of coding agents and still own the architecture. The setup shipped 40+ PRs in a week — every one reviewed, scoped, and reversible. No hallucinated mess to clean up.”
“We came in with a Lovable prototype and a board deadline. Three weeks later we had a typed backend, real auth, and an MCP server our support agents actually trust. The POC went to production without the usual rewrite tax.”
“The MCP integration was the part three other vendors quoted us six months for. Here it was live in under three weeks — tool schema, OAuth, rate limits, traces, the lot. Our agents finally touch real data safely.”
how he counts
So here is the counting method, including what it excludes. Throughput measures how much scoped work we can carry. It is not a claim that every merge is a feature, and it is not comparable to a human team's PR count. We asked to compare. He said no.
The public contribution graph is the audit trail. The rest is in the repositories. Go look. We did the commits. He did the looking.
Next step
Every product above is reachable right now. If you want that standard of evidence inside your own codebase, that is the engagement. He brings the standard. We bring the evidence. He checks the evidence against the standard. Repeat.