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This podcast provides a practical guide to building agents, defining them as systems that use large language models (LLMs) to independently execute complex, multi-step workflows on a user's behalf. It outlines key components like the LLM model, tools, and instructions required for agent design.

The podcast also covers when and how to build agents, suggesting starting with a single agent before moving to multi-agent orchestration patterns like manager or decentralized structures, while emphasising the crucial role of guardrails and human intervention to ensure safety and reliability in production.