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Ep. 5: Tool calling, orchestration, and agent development with Arcade

LLMs provide the brains of modern AI agents. But a brain alone doesn’t get users very far. The concept of Agency requires the ability to act in an environment, and that’s where tool-calling comes in: connecting the reasoning power of an LLM to real-world systems. In this session, we’ll explore how the right tools can make LLM-based agents more reliable, productive, and cost-effective. We’ll look beyond simple information retrieval to see how tools enable full productivity automation and even multi-agent systems.

Through live, incremental builds, you’ll see how to evolve an agent step-by-step from a single-LLM chatbot into a robust multi-agent system capable of tackling complex, real-world tasks. You’ll leave with a clear understanding of what it takes to unlock the full potential of AI agents through tool-calling.

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