How a multi-agent AI team works: the Chief of Staff pattern

A multi-agent AI team is a set of AI agents that each do one job and hand work to each other. The simplest version that works is the Chief of Staff pattern: specialist bots (email, calendar, sales, research) plus one coordinator that takes your request, splits it, asks the right specialists, and reports back. You talk to one bot; several do the work.

Why not just one agent?

One general agent with every tool sounds simpler. In practice it struggles:

• Too many tools. Models choose worse when they're offered dozens of tools at once.
• Mixed instructions. "Be brief with email, thorough with research, formal with clients" turns into a mushy average.
• Hard to trust. When something goes wrong, you can't tell which part of the job broke.

Specialists fix all three. Each AI agent has a short job, a few tools, and a model picked for that job.

How the Chief of Staff pattern works

Say you ask your Chief of Staff: "Get the launch ready for Tuesday."

1. It plans: launch posts, an email to the waitlist, and a heads-up to press contacts.
2. It asks Growth to draft the posts, Sales Outbound to draft the waitlist email, and Researcher to find the right journalists.
3. Each specialist works with its own model and tools, and answers back.
4. The Chief of Staff assembles a plan and tells you what needs your approval.

Every exchange is saved as a thread you can read, so you can see exactly who did what. In Stormi, when one bot asks another, the helper's irreversible steps still wait for your approval, and a helper can't ask a third bot, so work can't loop around your team unseen.

Setting up your own team in Stormi

Every Stormi account starts with a working team: Chief of Staff, EA, Inbox Manager, Sales Outbound, Talent Scout, and Researcher. To make it yours:

1. Edit each job. One sentence of what it's for, plus your rules.
2. Give each bot only its tools. Email for Inbox Manager, calendar for EA, CRM for Sales Outbound.
3. Pick a model per bot. Fast and cheap for triage; strong reasoning for research. See which AI model for agents.
4. Mention bots directly. In any chat, type @ and a bot's name to bring it in: "@Researcher, what did Acme announce?"
5. Let the Chief of Staff route the rest. For anything that spans jobs, just ask it.

Need a specialist you don't have? Add one from the marketplace, or ask your Chief of Staff to set one up; bots it creates show up in your team right away.

What makes a good specialist

• A job you could describe to a new hire in one breath.
• A clear output: a digest, a list of drafts, an updated record.
• A small set of tools.
• A schedule if the job repeats: routines run bots on the server, phone on or off.

When multi-agent is overkill

If you only have one job, use one bot. Teams pay off when you have three or more recurring jobs, or when one request regularly touches several areas, like a launch, a hiring push, or a weekly report.