Untangling Web3

#103 Untangling: AI Agents


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In this episode of the Untangling Web3 podcast, we explore one of the most game-changing developments in modern Artificial Intelligence—the rise of AI agents.

No longer just simple chatbots or assistants, these autonomous systems can reason, take action, and interact with tools and data in real-time. We also break down the buzz around Model Context Protocol (MCP), the newly emerging standard that’s revolutionizing how AI agents connect to the world.

If you’re trying to understand where AI is headed next, this is the episode for you.

Key highlights:

  • What Are AI Agents and Why Do They Matter? AI agents are more than just advanced chatbots. They combine reasoning, memory, and tool usage to autonomously carry out complex tasks. From managing customer support workflows to making purchasing decisions on your behalf, agents represent the next evolution of AI—shifting from simple input-output systems to dynamic, goal-oriented intelligence. The hosts break down what sets agents apart and how they’re transforming industries ranging from e-commerce to healthcare.
  • How Agents Work and the Role of MCP (Model Context Protocol): At the heart of every AI agent is a reasoning-and-action loop—taking an input, breaking it down into steps, and executing tasks using connected tools. The game-changer here is MCP, a new open protocol that acts like a universal USB-C for AI. Developed by Anthropic and quickly adopted by OpenAI, MCP enables seamless communication between agents, models, and external systems. This interoperability is critical for scaling AI use across businesses and consumer applications alike.
  • The Future of AI Agents: Integration, Specialization, and Robotics: As foundational AI models stabilize, the real innovation lies in the tools and platforms built on top. Startups and big tech alike are racing to create flexible agent frameworks that can be tailored to specific jobs—from customer service bots to autonomous research assistants. The discussion also explores how agents might evolve into robotic systems, bringing AI from digital workspaces into the physical world. Combined with MCP and rapid improvements in model performance, we’re on the cusp of a world where AI doesn’t just suggest ideas—it acts on them.

AI agents are the next major leap in Artificial Intelligence, offering businesses and individuals scalable, intelligent systems that can think and act autonomously.

With Model Context Protocol setting the standard for integration, and global players like OpenAI and DeepSeek leading innovation, we’re entering a new era of digital autonomy.

Whether you’re building with AI, working alongside it, or simply trying to understand what’s next, AI agents are a trend you can’t afford to ignore.

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This episode is sponsored by the VeChain foundation. Learn more about VeBetterDAO here:

https://vebetterdao.org/

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Learn more about Web3 at:

https://untanglingweb3.com/

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Untangling Web3 is brought to you by hosts Jack Davies and Alec Burns, with music by Daniel Paigge. Got a question or topic suggestion? Send us an email at [email protected].

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The views we express here are our own, and do not represent the views of our employers. Nothing discussed or stated in the show should be considered advice.

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Untangling Web3By Jack Davies & Alec Burns