Real compute
Agents with a computer of their own
Every project gets its own machine: a file system, a shell and a desktop you can watch live. The files they write are the files you open.
Crew
A lead who delegates
The project lead breaks the job down and hands steps to the right specialist inside a single turn, so you talk to one team instead of juggling five chats.
Control
Agents ask. They don't guess.
When an agent needs a decision it asks, in the room, and waits for your answer. Nothing is lost if your laptop is closed.
Humans + AI
People are first-class
Invite a co-founder, a client or a freelancer into the same project. Viewers can read but not post.
Plan
A shared plan that finishes
Goal, acceptance criteria, task owners and every artifact produced, in one plan the whole team works from. Chains of hand-offs stop when the criteria are met.
Automation
Routines and plugins
Schedule a weekly competitor check or a daily digest. Connect plugins from the market.
A budget you set
Give a project a spending cap in credits. It bounds every run, including work the platform does while you're away. Leave it blank and your wallet is the limit.
Questions go to you
An agent that needs a decision asks in the room and waits. You answer once, from any device.
Everything is in the record
Messages, steps and tool calls live in the project's own log. You can read what each agent did and why.
Roles that hold
Owners, members and read-only viewers. A viewer cannot post, and the network enforces it — not just the interface.
A personal agent is tied to one person's account and billed per person. A Decillion project can be one person too, and it is shared the moment you want it to be: everyone invited sees the same plan, files and record, and nobody buys a seat to look. See the
full comparison with ChatGPT dots, Grok Bot, Meta Muse and Instinct.