01 / Capture
Put it in, as it comes.
Links, voice notes, transcripts and half-formed ideas. Capture the raw material without stopping to organise it.
FounderOS / A personal AI operating system
Your knowledge in a base you own. An AI that maintains it, briefs you and answers from the context you have already built. Shaped around your real work in four weeks.
Build mine
01 / The idea
Your knowledge is scattered across notes, files, meetings and chats. Re-explaining it takes time. Organising it by hand takes more.
FounderOS puts that context in a library built around your projects and areas. The AI does the upkeep: filing, linking, summarising and keeping the index current.
Your material can live in dedicated folders, cloud drives, Notion or a mix. The system is shaped around your work, not handed over as an empty template.
02 / The working loop
Capture once. Put it to work again.
01 / Capture
Links, voice notes, transcripts and half-formed ideas. Capture the raw material without stopping to organise it.
02 / Connect
The AI files, summarises and links your material. Projects, areas and decisions become a knowledge base you can use.
03 / Use
Briefings, meeting prep, first drafts and answers from your own material. Your accumulated knowledge returns to the working day.
04 / Keep
Your knowledge is portable and exportable. The model that maintains it is replaceable by design.
03 / Inside the system
Explore the illustrative screens. Each build is adapted to your material and workflow.




04 / Beyond the desk
Capture a note from your phone. Ask a question on the way to a meeting. The knowledge base stays connected to the work wherever it happens.
The name says founders, but the fit is wider: CEOs, solo experts, fractional leaders and teams whose work depends on shared context.


05 / The build
A one-to-one build, with support through the sprint.
Your projects, areas, working habits and writing voice.
Set up the base, connect the librarian and bring in the existing knowledge.
Run it against real work. Add briefings, preparation and the proactive layer.
You own the system, data and method. A monthly health check keeps it sharp.
The design decision
Your history stays in tools and formats you control. The AI on top can change without giving up the knowledge you have built.
The system is intended to keep working after the handover. You own the data, the structure and the method.
Your next step
Tell me what your work runs on. I'll tell you honestly whether this fits and what a build would look like.
Or write on LinkedIn ↗I read every message myself and reply within two working days.
If something else is on your mind, the contact page is the fastest way to get a useful reply.
Tell me about your work →You own it. The system, the structure, and every piece of data. After handover it runs without me. Everything exports to plain files, so you are never trapped.
That is the whole design. The AI is the librarian and the librarian is replaceable. Today it is Claude. If something better ships, you swap it and keep your library. No migration, no rebuild.
Wherever your work already happens. Dedicated folders on your computer, cloud drives, Notion, or a mix. I shape it around your use case, not around one tool.
You decide what goes in. Processing runs through GDPR-compliant services, and anything you do not want in the cloud can run locally on your machine. The data is yours, start to finish.
Four weeks for the full build. You are involved at kickoff and testing; the heavy lifting is mine. Most of the setup runs in the background while you keep working.
It depends on scope, so I price it per build after we talk. It is a done-for-you build, not a subscription to me. You also run a small monthly tooling cost that you own directly, and I am upfront about that on the call.
Almost nothing. The librarian keeps itself current, and a monthly health check catches drift. You capture; the system does the filing.