This is how one person runs everything
Your AI gets its own computer in the cloud. Tell it to ship a feature, draft your newsletter, or prep you for that interview on Thursday — it figures out what it needs and keeps working while you sleep.
You've been babysitting your AI
The models are smart enough to run your whole operation. But the tools around them aren't — so you're stuck managing permissions, fighting setup, and working around limitations instead of getting things done.
Your computer, your risk
Your agent runs on your personal computer, so you either approve every action or let it loose on your files, your credentials, your environment. Either way, it's your problem.
A text box or a black box
The chat apps look polished but can't actually do anything. The terminal tools are powerful but you're staring at scrolling text. No file explorer, no live previews, no real workspace.
Close your laptop, lose your agent
Your AI lives on your computer. Walk away and it stops. The "remote access" drops half the time. The "cloud mode" barely exists. You shouldn't have to babysit your computer so your computer can work.
You're debugging the framework
Permission prompts that don't stick. Cron jobs that stop firing. Connectors you toggle off and on every session. You signed up to build things, not troubleshoot your AI's infrastructure.
What it actually looks like
01
Its own computer
Your AI runs on its own computer in the cloud. It installs what it needs, builds what it needs, does what it needs. Come back two weeks later and everything's exactly where you left it. Nothing resets. The model is already smart — the computer is what was missing.
02
Your whole operation
Create channels for however you work — #eng, #content, #career, #dating, whatever. Each one has its own context and instructions. Same AI, different modes. One channel builds your product. Another drafts your newsletter. Another helps you write the perfect text back.
03
A workspace for both of you
The agent creates a file and it appears in your file explorer. It finds what you're looking for and links you to the exact line — click and you're there, scrolled and highlighted. You edit something and the agent sees your changes. Not a black box you delegate to. A shared space you work in together.
04
Always running
Sign up and your agent is running. No Docker, no hardware, no config files. And it works whether you're there or not — schedule tasks, kick off long jobs, come back in the morning to finished work.
05
Yours to shape
Define your agent's identity — who it is, how it works, what it knows about you. Skills extend what it can do. Connections give it access to your tools. Extensions give it a UI. The more you use it, the more it becomes yours — not a generic assistant you re-brief every session.
What's in the box
File explorer with live rendering
Browse, edit, and preview files alongside the chat. HTML renders live. Markdown renders with syntax highlighting. Images, PDFs, spreadsheets, audio, video — all native. The agent creates a file and you see it immediately.
Public file links
Share files from your workspace with public links. The recipient sees the current version in a clean Printhouse viewer — whether it's a report, demo, document, spreadsheet, or prototype.
Connections
Gmail, GitHub, Notion, Slack, Google Calendar, and dozens more. One-click OAuth. Your agent reads, writes, and acts across your services — without ever seeing your credentials.
Skills & marketplace
Skills are reusable instruction sets — just markdown files — that extend what the agent can do. Invoke them with slash commands. Browse and install from skills.sh, a security-scanned community marketplace, or write your own.
Your workspace builds its own features
Need a UI for something? Your agent builds it and it shows up as a panel in Printhouse — private, authenticated, already connected to your tools. A GitHub dashboard that tracks your PRs across repos. A recruiting pipeline that reads your inbox. No deploy, no API keys to wire up. It's already connected because your agent already is.
Scheduled tasks
Cron jobs, intervals, one-shots. Not just reminders — full agent capabilities on a schedule. Your agent triages email every morning before you wake up.
No model lock-in
Use whatever model is best right now — Anthropic, OpenAI, DeepSeek, Kimi. Switch mid-conversation. Connect your ChatGPT subscription and OpenAI models run on it instead of your usage balance.
Shared terminal
Same computer the agent runs on. Run commands directly from chat or open a full terminal — either way, you're working on the same machine side by side.
Everything is linked
The agent doesn't just tell you — it links you there. A specific line of code, a past conversation, a scheduled task. Click and you're looking at it. Ask "where did we discuss that?" and it links you to the exact message.
Security that doesn't require trust
Giving an AI agent access to your tools is a bold move. Here's why it's not a reckless one.
Your keys never touch the agent
A sidecar proxy intercepts every outbound request. The agent works with dummy placeholder keys. The proxy swaps them for real credentials at the network level. Your agent literally cannot access your API keys — they only exist in the proxy's memory.
Isolated containers
Each workspace runs in gVisor — the same container runtime Google uses for Cloud Run. Process-level isolation, not just namespace separation. Your environment is yours alone.
Network access controls
Allow all external access, lock the agent to only the services you've connected, or cut off external access entirely. You decide what your agent can reach.