This episode offers an overview of AI agents, starting with a fundamental definition and contrasting them with non-agentic AI workflows. It explores the benefits of agentic design patterns, including reflection, tool use, planning, and multi-agent systems, explaining how these approaches improve AI performance. The explanation highlights various multi-agent design patterns like sequential, hierarchical, and hybrid systems, discussing their structures and applications. Finally, it demonstrates how to create practical AI agents, even with no-code tools, and suggests future opportunities for AI agent development, particularly in creating agent-based equivalents for existing software services.

Link to video: https://www.youtube.com/watch?v=qU3fmidNbJE

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