Episode 40: Agentic AI Protocols – MCP vs A2A and the Future of Intelligent Interoperability
In this episode , we dive into two of the most important protocols redefining the Agentic AI ecosystem—Anthropic’s Model Context Protocol (MCP) and Google’s Agent2Agent (A2A). While MCP standardizes how agents access tools and data, A2A enables AI agents from different systems to collaborate seamlessly.We explore how these protocols differ in purpose and architecture, how they complement one another, and what it means for the future of AI design. From secure, plug-and-play integrations to dynamic multi-agent ecosystems, these protocols form the foundation for open, scalable, and collaborative AI infrastructure.As we move toward a world where agents don’t just process context but coordinate entire workflows, understanding MCP and A2A becomes critical. Tune in to learn how these open protocols might be the TCP/IP of the AI era—laying the groundwork for interoperable, intelligent systems.
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Episode 39: Lean Agentic AI – Rethinking Autonomy for Cost, Carbon, and Control
As agentic systems enter real-world production, many are facing the same pitfalls they were designed to avoid—rising costs, bloated memory, redundant workflows, and unsustainable compute demands.In this episode, we explore the Lean Agentic AI mindset—a discipline that redefines what it means to build intelligent systems. From model minimalism to scoped memory, self-evaluating agents, and purpose-bound orchestration, we unpack how agentic workflows can scale efficiently without compromising performance or principles.Discover how lean intelligence is becoming the true measure of smart AI—and why the future belongs to systems that know not just what to do, but when to stop.
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Episode 38: Agentic AI and Astrology
How might AI revolutionize astrology? This episode examines how Agentic AI could enhance astrological interpretations through real-time data analysis, personalized insights, and interactive education. We explore the possibilities of blending ancient celestial wisdom with cutting-edge technology, while addressing the philosophical and ethical questions that arise.
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Episode 38: Decoding Agentic AI: Comparing the Frameworks Powering Autonomous Systems
In this episode, we take a deep dive into the evolving landscape of agentic AI frameworks—essential tools for building intelligent, autonomous, and collaborative systems. Joined by two AI collaborators, we evaluate leading frameworks such as AutoGen, LangGraph, CrewAI, and Haystack, and explore rising contenders like PydanticAI and Lagent.From architecture and extensibility to security and real-world use cases, we unpack what makes each framework unique and how to choose the right one for your agentic AI journey—whether you're prototyping a solo agent or orchestrating complex multi-agent workflows in production.A must-listen for developers, architects, and AI strategists navigating the agentic era.
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Episode 37: ResponsibleOps – Operational Clarity for Autonomous AI Systems - How CIOs and digital leaders can embed responsibility into autonomous systems.
How CIOs and digital leaders can embed responsibility into autonomous systems.As AI agents evolve from supporting decisions to making them, enterprises face a new challenge: how to operate intelligent systems that are autonomous, scalable, and aligned with enterprise values.In this episode, we explore ResponsibleOps—a strategic framework and operational mindset that ensures AI systems remain accountable, transparent, sustainable, and efficient as they scale. From governance and compliance to environmental impact and human-AI collaboration, we unpack the seven foundational pillars CIOs and digital leaders need to guide AI with clarity and control.Learn how to align innovation with oversight, performance with purpose, and autonomy with responsibility in the age of Agentic AI.
About Agentic AI: The Future of Intelligent Systems
Dive into the fascinating world of Agentic AI—a podcast series exploring the cutting-edge evolution of intelligent systems. From plug-and-play AI marketplaces to transformative applications in smart cities, education, and creative domains, this series unpacks how Agentic AI reshapes industries, enables collaboration, and drives innovation. With a focus on ethical considerations, sustainability, and real-world applications, we navigate the opportunities and challenges of these autonomous agents. Whether you’re an AI enthusiast, a business leader, or simply curious about the future, join us.
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