AI OS · AI operating system interfaces

Your AI workspace,
in view.

Turn folders of notes and projects into a visual workspace. Explore six graph views and adapt the editable AI OS dashboards to your own setup.

Classic + Current · editable files · $15/month on Patreon

AI OS / CURRENT / 1.0.4↗
AI OS Current interface: visual map of fictional sample notes and projects
Released interface · sample data13-second demo
Previous data & analytics experience

Built on a decade of experience.
Now building the next workspace.

10+
Years in data & analytics
5,000+
YouTube subscribers
250K+
Views on the AI OS video
2
Dashboard editions

Audience figures approximate, as of 15 October 2026. Brand logos refer to previous professional experience.

Tools behind my builds

AI OS / The dashboard interfaces

A visual starting point
for your AI operating system.

Start with the interface layer of your own AI workspace. Get the released Classic and Current dashboards, explore the sample workspace, then bring in your own folders. Connect your AI tools and workflows separately.

Two editions / One starting point

See the structure.
Find the connections.

Two editable dashboard editions, ready to explore with fictional sample data. Import selected Markdown or text folders, see how your files connect and make the interface your own.

  • Classic + Current dashboards, release 1.0.4
  • Six graph views in Current, including 3D Orbit
  • Editable source, sample data and setup instructions
  • Read-only import of Markdown and text folders
  • Package setup questions and bug reports
Read the free MAPS setup guide ↗Watch the full AI OS walkthrough ↓
Patreon / Builder membership

$15/ month

Get both dashboard editions.

Get both dashboards on Patreon ↗

These are interface packages. My connected personal system, voice, automation runners, live sync and email/calendar connections are not included.

The personal setup / YouTube

See the full AI OS
in action.

Watch how I bring Claude Code, working context and a visual workspace together.

This walkthrough shows my connected personal system. Builder includes the editable dashboard interfaces.

Open on YouTube ↗
Turn Claude Code Into Your AI Operating System: Pav's YouTube walkthrough

From download to your own workspace.

  1. Join Builder on Patreon and download Classic, Current or both interface packages.
  2. Read START-HERE and install Python 3.9+ if needed. Run the supplied setup.py launcher.
  3. Explore the fictional sample workspace and switch between graph views.
  4. Import selected Markdown or text folders to map their file relationships. Imports are read-only.

Build the underlying workspace with the free MAPS guide ↗

What do I get, and can I keep it if I cancel?

Download the editable interfaces, sample workspace and setup guide. The free MAPS guide stays free. Downloaded versions remain usable for personal or internal business use after cancellation. Future releases require active membership. No resale or redistribution.

What do I need to run the dashboards?

Python 3.9+ and a browser. The manual interface needs no API key or AI subscription. Local agent assistance is optional and requires filesystem access. Installation and permissions may require additional setup.

Is this the complete connected system from the YouTube video?

No. Builder includes the released dashboard interface packages. My personal voice beta, automation runners, live sync and email/calendar integrations are separate. Watch the personal AI OS walkthrough ↗.

What is an AI workspace system, and how does AI OS fit?

An AI workspace system brings your working context, notes, projects and AI tools into a shared workflow. AI OS provides the editable visual dashboard layer for your own workspace. Classic and Current run locally; AI tools and automated workflows are connected separately. The free MAPS guide explains how I organise a Claude Code workspace around Memory, Agent, Pulse and Screen.

What is an AI operating system?

I use the term for a workspace that brings notes, context and AI tools together. AI OS is my approach to organising that work. The released dashboards provide a visual interface; connecting tools and building automated workflows is a separate step.