A single prompt trying to handle planning, writing, researching, and testing will eventually exhaust its cognitive capacity. Multi-Agent Orchestration splits a complex workflow into specialized agents, each running a focused prompt and handing off structured payloads.
Instead of a monolithic prompt, you build an organizational chart. A 'Planner' maps the task; a 'Researcher' gathers data; a 'Coder' writes code; and a 'Tester' executes the code and feeds errors back. This modular approach keeps prompts focused, prevents context bloat, and enables feedback loops where agents critique and correct each other.