Evolution of AI Agents

This chapter delves into the progression of AI agents, showcasing their transition from basic tools to advanced autonomous systems capable of self-reflection and problem-solving. With a focus on real-world applications like Formula One and examples such as Kiro, it highlights the transformative impact of reasoning LLMs in various industries.

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Want our guide to master AI Agents? Get it here: https://clickhubspot.com/bka

Episode 76: What actually makes something a real "AI Agent"—and how close are we to AI handling complex work entirely on its own? Matt Wolfe (https://x.com/mreflow) is joined by Deepak Singh (https://x.com/mndoci), Vice President at AWS and leader of Amazon’s Agentic AI infrastructure teams. With over 17 years at Amazon and a PhD in theoretical chemistry, Deepak brings unparalleled insights into the development and future of AI agents, from early neural networks to today’s autonomous multi-agent systems.

In this episode, the conversation breaks down the hype vs. reality of AI agents. Deepak shares how AWS is pioneering true agentic AI—systems that use LLM-powered reasoning, autonomy, and reflection to tackle everything from Formula One race analytics to massive code migrations and breakthrough drug discovery. You’ll also learn how even small businesses can start leveraging agentic tools today, the rise of new agent standards like MCP and A2A, and why skills in articulating and breaking down problems are more valuable than ever for future-proofing your career.

Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd

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