AI, employed.

It takes a job off your plate, reports to someone on your team, and does the work itself.

Trust it like someone you trained.

Rachel briefed Ploutos in three sentences, the way she’d brief a new hire. It has done the job her way since.

Your rules, kept.

A good hire doesn’t check with you on every small thing, only on the ones that could cost you. A Worker is the same. You decide what those are, and it can’t talk its way past them.

When a rule says ask, it asks you in Slack and waits for your answer.

It has its own computer.

Every Worker has its own computer, with a browser, a terminal, and files that stay put between jobs. Add an email inbox when it needs one. From there it reaches the tools your team already uses, and every call still answers to your rules. Watch its screen anytime, or take over.

It’s in the meeting.

Send a Worker to a call and it joins under its own name. It says it’s AI and who sent it, and only you and invited teammates can read the transcript. After the call it lists what you promised and asks before following up.

Every action, on the record.

Workers act in your tools through Worker’s servers, so the keys to those tools stay with us and never reach the Worker. Every read and every change is checked against your rules and written down: what it saw, what it did, and who approved it. The log starts with the first Worker you hire.

It learns how you work.

Correct it once and it writes the lesson down. Its notes are plain documents you can read and fix, and earlier versions are kept. The lessons you approve go into your Company Brain, so every Worker you hire starts out knowing how your team works.