มาลองทำ AI Multi-agent Orchestration กันน

This week on Long Mic, we'll explore and experiment with "AI Multi-agent Orchestration," a system for distributing and directing multiple AI agents to work together. We'll delve into the underlying mechanisms behind task distribution from one AI to another, focusing on Agent CLI tools (such as Claude Code, Codex, Antigravity, Open Code) to improve performance and separate session/context windows. Let's find out more in today's Long Mic session! This topic includes: Understanding the concept of Agent Orchestration, the underlying principles of task distribution, and the benefits of context separation. Learning how to implement Orchestration. This video demonstrates how AI agents can communicate with each other using headless mode. Showcase of experiments with Claude Code, including cross-agent command execution, creating sub-agents, and task assignment decisions. Topics: 00:00 Introduction 02:05 What is Agent Orchestration? 05:35 Method 1 - Performing Agent Orchestration with Sub-Agents 11:10 Method 2 - Having each AI agent communicate with each other using headless mode 18:49 Example Case 1 - Using Claude Code to assign tasks to other agents and summarize the work. 23:45 Example Case 2 - Using Claude Code to create sub-agents and summarize the work. 30:47 Example Case 3 - Using Claude Code to decide on task assignments for agents. Hopefully, this video will help everyone understand the overview and get ideas for easily applying or adapting the Agent Orchestration concept to their own work. For those who have tried designing or commanding AI agents to work together in this way, please feel free to comment and share your experiences! 😆