3. Multi-Agent Systems and the Role of Sub-agents

Managing a large project alone is difficult and error-prone. Similarly, handing all tasks to a single AI agent can lead to context limits and logical confusion. Sub-agents help resolve this problem. **What is a Sub-agent?** Sub-agents are specialized assistants spawned by a main orchestrator to handle specific sub-tasks, similar to how a CEO delegates tasks to department managers. **How do Sub-agents Work?** For example, to build a web application: 1. Product Manager Agent (Main) analyzes requirements. 2. UI/UX Designer Sub-agent draws the mockups. 3. Frontend Developer Sub-agent writes the code. 4. QA Tester Sub-agent tests for errors. Each sub-agent focuses on its domain and returns results to the main agent. **Why use Sub-agents?** * **Specialization:** Sub-agents operate with dedicated prompts and tools. * **Parallelism:** Tasks are run concurrently to save time. * **Context Management:** Reduces hallucinations by limiting the information scope of each agent. Multi-agent architecture is the backbone of modern Agentic AI.