Multi-Agent Apps
The biggest shift in Helium: you no longer give a task to one agent. You give it to a team. Describe a single goal and a whole crew of specialised AI agents organises, divides the work, and collaborates to deliver it — end to end.
In one line: one prompt in, a coordinated team of agents out. These are real, runnable multi-agent apps — not a single model pretending to be many.
How a team forms
When you set a goal, a lead agent reads it, breaks it into roles, and recruits specialist Bees for each one. They work in parallel, hand off to each other, and the lead synthesises everything into a single finished result you can review and ship.
What that unlocks
Division of labour
Each agent does the one thing it's best at — research, writing, design, code, QA.
Parallel work
Steps that don't depend on each other run at the same time, not in a queue.
Hand-offs & review
Agents pass work down the line; a reviewer agent checks before it reaches you.
A worked example
Ask for something that would normally take a team of people:
Launch a product page for our new cold-brew line —
research competitors, write the copy, design the hero,
build the page, and QA it before you hand it over.
Behind the scenes the team self-organises:
| Agent | Does | Hands off |
|---|---|---|
| Researcher | Pulls competitor positioning & pricing | → Writer |
| Writer | Drafts headline, benefits, CTA copy | → Designer |
| Designer (Prism) | Creates the hero visual & brand assets | → Builder |
| Builder | Assembles the live page | → Reviewer |
| Reviewer | Checks links, copy, and consistency | → You |
Keep the rules clear. A team that acts across your tools needs guardrails. Set scope and approval steps before activating one — see User Boundaries.
Ready to build your first team? Build a Multi-Agent App →