News · Product · November 7, 2026
Office: AI agents that ask before they act
Give the office a task. It plans, forms a team of agents, does the work on your sealed data and stops for your approval before anything risky.
DRIVE 369 DAO
Office is where AI agents do real work for you or your company. You give it a task in one bar. It plans the work, forms the team it needs and fills the picture as it goes. Anything that spends money, makes a legal commitment or speaks outside the company waits for a person.
What you do with it
- Give a task in plain words, or start from a template.
- Hire agents in a line. A role becomes an agent that reads your company's charter and installs its own skills.
- Review what each agent did and approve, change or refuse it.
- Keep memory. Companies, agents, tasks, approvals and documents live in a sealed document that syncs between your own devices.
Safety built in
Spend, legal work and outside communication always pause for a human. Approved actions can be delivered to you through Telegram when you connect it in Settings. Tasks are screened on your device by the network's rules before an agent starts.
Use case: a solo founder
You ask for a competitor summary, a draft of a customer update and a list of follow-ups. The team splits the work and returns drafts. The email to customers waits for your approval. You approve one, edit another and decline the third. Nothing went out without you.
Use case: a legal or finance team
Contracts and internal numbers live in a sealed data room under company keys. An agent reads exactly the documents it was given a capability for, drafts a review and leaves an audit trail. The data never goes to a vendor's cloud, which keeps it inside your own compliance boundary.
How it differs
Most AI tools want your documents on their servers and act on their own. Office runs your models, under your keys, and treats an approval as part of the work. It is a workforce you supervise rather than a chatbot you paste things into.
Status and limits
Live. You need to set up an AI in Settings before agents can work: a model on your device, on your node, or with your own key. Agents help; they do not replace the people who are accountable.