1. Hire. Drop an AI Employee onto the canvas. That is the lead.
2. Build the team. Connect a few specialist agents to it and give each one the tools for its part of the job: email, browser, code, messaging, payments, and so on.
3. Start. The team runs in the background and wakes up when something happens: a new email, a customer message, a scheduled time.
4. Review. Watch it work on the canvas, read what it remembers, and change how it does things by editing its skills in plain text.

The Employees

Each of these is a team you can assemble from the pieces in the box. Rename them, swap the specialists, or invent your own.

Builder — builds and ships things. Writes and runs code, keeps dev servers alive, opens pull requests, deploys, and manages your cloud. The team: a lead, a coder, and a release specialist with GitHub, Vercel, Cloudflare, and Google Cloud.

Grower — grows the company. Publishes to your channels, keeps your community alive, and watches the market. The team: a lead, a publisher for X, WhatsApp channels, Telegram, and Discord, and an analyst with social-media data and web search. Runs on a schedule so the cadence holds without you.

Chief of Staff — runs your day. Reads and answers mail, keeps the calendar, files, sheets, tasks, and contacts in order, and hands you a summary each morning. The team: a lead and workspace specialists for Google Workspace and Microsoft 365. Wakes on every new email.

Front Desk — answers customers. Replies on WhatsApp, WhatsApp Business, Telegram, and Discord, in the customer's language and in voice if you like, and escalates what it cannot resolve. The team: a lead, a support specialist, and a language specialist.

Researcher — finds things out. Browses, searches, scrapes, reads documents and images, and files what it learned into a knowledge base the whole company can ask. The team: a lead, a scout with a browser and search, and a librarian who indexes.

Treasurer — handles payments. Runs payment operations through Stripe and reacts the moment a payment event happens. The team: a lead and a payments specialist.

How They Get Better

• They remember. An employee keeps facts, preferences, and decisions in a memory you can open and edit.
• They pick up where they left off. Every new message, task, or scheduled run continues the same conversation instead of starting from zero. When the conversation gets long, the employee writes itself a summary and carries on from it.
• They add tools when they need them. Mid-task, an employee can look at its own team, add a tool, attach a skill, or bring in another specialist, and the change stays.
• They check their own work. The lead reviews every result from the team and sends it back if it is not right, before it ever reaches you.
• You coach them. Skills are short plain-text playbooks. Edit one and the employee follows it on its next turn.

What Is in the Box

• Connections to Gmail, Google Calendar, Drive, Sheets, Tasks, Contacts, Microsoft 365, any email account, WhatsApp, WhatsApp Business, Telegram, Discord, X, Stripe, GitHub, Vercel, Cloudflare, Google Cloud, your Android phone, a browser, web search, scrapers, and a knowledge base: 148 tools in all.
• Models from OpenAI, Anthropic, Google, xAI, DeepSeek, Kimi, Mistral, Groq, Cerebras, Sarvam, and OpenRouter, or run local models with Ollama and LM Studio for free.
• Speech and translation, so employees can listen, talk, and work in other languages.
• 78 skills that ship ready to use, and a place to drop your own.
• Built to keep running. Employees survive restarts, pause and resume from the canvas, and catch up on missed schedules. Your API keys are stored encrypted on your machine. Add a login for shared or cloud use; one command deploys to Google Cloud.
• A canvas you will want to look at, with 12 visual themes.

For Developers

Adding a tool, a model provider, a skill, or an integration is one plugin folder on the backend; the interface renders it automatically.