Computer use gives AI agents a workstation. Browser use gives them reach across the web. But there's a ceiling to what any single agent or any single employee can do alone. The most sophisticated enterprise work happens across teams. It requires coordination, specialization, and the ability to manage complexity at scale.

That's what multi-agent teams unlock.

How It Works

A sub-agent system has a manager and a team. The orchestrator agent receives a high-level objective, breaks it into component tasks, delegates each to a specialized sub-agent, reviews the outputs, and synthesizes everything into a final deliverable. Depending on the request, the orchestrator agent may choose to use different sub-agents on different runs. Each sub-agent maintains its own context window, so the system handles workflows of arbitrary complexity without the constraints that limit a single model.

What This Looks Like in Practice

Take a market intelligence agent. A single agent would need to research competitors, extract financial data, analyze trends, and write everything up sequentially, under significant load. A multi-agent team handles it differently. Based on what the user needs, the orchestrator delegates research to one agent, data extraction to another, analysis to a third, writing to a fourth. Each focuses on what it does best. The orchestrator reviews, reconciles, and assembles the final output. The human receives one polished deliverable. An entire team produced it in parallel, in a fraction of the time.

The Full Picture

When computer use, browser use, and multi-agent orchestration work together, the result genuinely resembles a human workforce. An orchestrator assigns a computer use agent to analyze internal data, a browser use agent to gather external intelligence, a writing agent to synthesize findings, and a formatting agent to produce the output. It reviews everything, checks quality, and delivers.

That's a team. It has a manager, specialists, a workflow, and quality control. It produces outputs that used to require real headcount.

Building on StackAI

Multi-agent architectures on StackAI let you build workflows that match the actual complexity of your business — not simplified versions of it. You define the objective. The orchestrator handles the rest.

The era of AI employees isn't coming. It's here. The question is how quickly your organization is ready to put them to work.

See your first multi-agent team on StackAI by getting a demo.