Multi-Agent System

What Multi-Agent System is

Instead of one generalist loop, roles are split — planner, researcher, coder, critic — each with its own prompt, tools and permissions, coordinated by an orchestrator.

How it works

Patterns include supervisor-worker delegation, sequential pipelines, and debate where agents critique each other before a decision. Shared state, message passing and termination criteria are the hard engineering parts.

Why it matters

Specialisation and an explicit critic step improve quality on complex work, but the coordination overhead means a single well-scoped agent is often the better answer.

Common uses

• →Research and analysis pipelines
• →Software development workflows
• →Content production with review stages
• →Simulation of stakeholder perspectives