Part 8/11:
Instead of tackling a large problem in a single step, the agent decomposes it into smaller, manageable tasks. This approach enhances accuracy and efficiency—for example, breaking down a complex development task into designing, coding, testing, and deploying phases.
4. Multi-Agent Collaboration
This pattern mimics human teamwork, where multiple agents with specialized roles work together toward a shared goal, such as software development. For example, a CEO agent might assign tasks to design agents, coding agents, and QA agents, which interact, exchange information, and collectively produce the final output.
Real-World Frameworks Demonstrating Multi-Agent Capabilities
Ash examines two cutting-edge frameworks showcasing multi-agent collaborations: