Glossary

What is agent orchestration?

Agent orchestration is coordinating multiple AI agents — or multiple steps of one agent — toward a goal: routing each task to the right agent, running them in parallel or sequence, and combining their results. It is how a system does work too big or varied for a single model call.

In depth

Understanding agent orchestration

A single agent loop handles one line of work. Orchestration handles many: a coordinator decomposes a goal, dispatches sub-tasks to specialized agents (research, code, design), runs independent ones in parallel, and merges what comes back — often with a verification pass before committing.

Good orchestration is mostly about control flow and context: which agent gets which slice, what each one can see, and how results are checked and combined. Done well, it turns a fleet of narrow agents into one capable system.

A design platform orchestrates agents that each generate, perceive, or drive a canvas — grounded in the same shared brand — so a team scales creative work across many agents at once.

See it in Clearly

Software for agents

Give a fleet of agents a design workspace they can operate.

The design workspace where these ideas are real

Agents that generate, a canvas they can see and drive, and a brain that keeps every asset on-brand. Free to start.