How alphaOS happened
Nobody was building the faucet.
I run a remote agency. Twenty people, three to four hours of my own work a day.
That number is not a flex. It is the result of one decision I made early: automate everything beneath my intelligence so my mind stays fresh for what only I can do.
AI should have made that easier. Instead I spent a year as a human router between tools.
Then it clicked. Models are water. Whoever has the best water this month is a fair fight and I don’t care who wins it.
What I care about is the faucet. The thing that decides how much comes out, from where, in what order, and where it goes when it lands.
Nobody was building the faucet. So we did.
alphaOS is a harness.
One interface on top of every model you use. It holds your context, your memory, your documents and your agents, and it hands them to whichever model is right for the task. Claude for the writing. OpenAI for the code. A local model for anything that should never leave your machine.
Switch models mid-conversation. Nothing about your work changes. The water changes. The plumbing stays yours.
It reads what you read.
Your Notion pages open beside the chat. Your Drive files are one mention away. When the agent updates a document, you watch it happen on the right side of the screen and you can correct it in place.
It browses the web.
Ask about this week, not last year. The agent goes out, reads, comes back with sources. No tank of stale training data pretending to know.
It runs without you.
Agents have background jobs, not office hours. Set the task, close the lid, check the result from your phone.
It follows the frontier so you don’t have to.
New model drops, you swap it in. New skill, new connector, new protocol, it slots in. Your setup keeps getting better without you rebuilding it.
It fits in your pocket.
alphaOS Control is a native iPhone app. Every thread, every agent, every running job, from wherever you are. Currently in TestFlight for beta members.