Multi-agent orchestration means coordinating more than one specialized AI agent inside a workflow. One agent may research, another may draft, another may validate, and a coordinator may decide when the task is complete.
When It Helps
Multi-agent systems help when the job has distinct phases that benefit from separate instructions, tools, or checks. For example, a sales workflow may use a research agent, a messaging agent, and a compliance reviewer.
When It Hurts
Do not use multiple agents just because the architecture sounds advanced. More agents create more handoffs, more cost, and more places for errors to compound. A single focused agent with strong validation is often better.
Practical Rule
Start with one reliable agent. Add a second agent only when a separate role improves quality, safety, or maintainability. Orchestration is a management pattern, not a magic performance upgrade.
