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Fail Again. Fail Better.FounderOS / A personal AI operating system

FounderOS / A personal AI operating system

Your AI forgets.
Your work shouldn't.

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
Illustrative FounderOS morning briefing
Illustrative product screen / The day, with the context behind it.
The buildFour weeks
The libraryYou own it
The AIReplaceable by design

01 / The idea

A second brain.
With a librarian.

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

Raw material.
Useful context.

Capture once. Put it to work again.

Yourlibrary 01Capture 02Connect 03Use 04Keep

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.

02 / Connect

A library around your work.

The AI files, summarises and links your material. Projects, areas and decisions become a knowledge base you can use.

03 / Use

Bring the context back.

Briefings, meeting prep, first drafts and answers from your own material. Your accumulated knowledge returns to the working day.

04 / Keep

The library stays yours.

Your knowledge is portable and exportable. The model that maintains it is replaceable by design.

03 / Inside the system

A few ordinary moments.
A different working day.

Explore the illustrative screens. Each build is adapted to your material and workflow.

04 / Beyond the desk

Your knowledge.
Within reach.

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.

Illustrative mobile capture inboxIllustrative mobile answer with source notes

05 / The build

Four weeks.
Then it is yours.

A one-to-one build, with support through the sprint.

01

Map

Your projects, areas, working habits and writing voice.

02

Build

Set up the base, connect the librarian and bring in the existing knowledge.

03

Tune

Run it against real work. Add briefings, preparation and the proactive layer.

04

Hand over

You own the system, data and method. A monthly health check keeps it sharp.

The design decision

Swap the librarian.
Keep the library.

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

Built around
your work.

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.

FAQ

Frequently asked.

If something else is on your mind, the contact page is the fastest way to get a useful reply.

Tell me about your work →
Q01 Do I actually own it, or am I renting it from you?

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.

Q02 What if I want to switch AI models later?

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.

Q03 Where does my knowledge live? Do I have to use Notion?

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.

Q04 Is my data private? What about sensitive material?

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.

Q05 How long does it take, and how involved do I need to be?

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.

Q06 What does it cost?

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.

Q07 What do I have to maintain?

Almost nothing. The librarian keeps itself current, and a monthly health check catches drift. You capture; the system does the filing.