Agentic AI: The Future of Intelligent Systems

Naveen Balani

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.

  1. 4 DAYS AGO

    Episode 61: Agentic AI is 90% Engineering

    Agentic AI demos often look like magic — agents planning, reasoning, and solving tasks on the fly. But beneath the surface, the reality is clear: building agentic systems is ninety percent engineering. In this episode, we unpack what that really means. From planning and memory to tool use, orchestration, and monitoring, the hardest challenges are not in the model itself, but in the systems built around it. Just as cloud adoption matured through disciplines like DevOps and FinOps, Agentic AI will demand its own engineering maturity. I believe a surge is coming — where the real differentiator will not be who uses the biggest model, but who engineers the most reliable, efficient, and sustainable systems. The magic of Agentic AI lies not in the demo, but in the discipline of the build.

    4 min

  2. 21 SEPT

    Episode 60: Mobile Agentic AI Agents — Intelligence in Your Pocket

    In this episode, we shift the lens from the cloud to the palm of your hand. Mobile Agentic AI Agents, in my view, represent the next big leap — not abstract copilots in distant data centers, but intelligent collaborators that live on your phone. With sensors, context, and constant connectivity, mobile devices are uniquely positioned to host AI agents that reason, plan, and act. Imagine an agent that organizes your day based on carbon-aware scheduling, manages your health insights on-device, or translates conversations in real time while protecting your privacy. But this revolution comes with challenges. Leaner models, efficient memory, and secure design will be critical. And because adoption will spread fastest through smartphones, the impact will be social as much as technical — shaping lives across communities, cultures, and continents. The question is not whether mobile AI agents will arrive, but how quickly we design them to be smarter, greener, and more responsible.

    6 min

  3. 14 SEPT

    Episode 59 : From Copilot to CoThinker

    In this episode, we move beyond the familiar role of AI as a coding assistant and explore its evolution into a reasoning partner. Starting with code may feel fast, but it often leads to building the wrong thing, beautifully. Copilots accelerate typing, but they do not challenge assumptions or highlight trade-offs. CoThinkers, on the other hand, help define intent, weigh options, and model choices before a single line of code is written. They collaborate on design, prioritize security, reliability, and sustainability, and ensure that clarity comes before execution. The future of AI is not about typing faster. It is about thinking better. This episode unpacks what that shift means for how we design, build, and collaborate with intelligent systems.

    4 min

  4. 7 SEPT

    Episode 58 : 10 Actionable Strategies for Sustainable AI

    In this special episode, we pause the pace to reflect on what it truly means to build responsible AI. Beyond the buzz of agents and copilots lies a growing environmental cost — from energy and water use to emissions at scale. So how do we unlock AI’s full potential without compromising the planet? We walk through 10 practical, actionable strategies — from prompt optimization to carbon-aware scheduling, local execution, model right-sizing, and lean agent workflows — all designed to help you build AI that’s not just powerful, but sustainable by design. 🌱 A must-listen for developers, architects, and AI leaders looking to scale responsibly.

    7 min

  5. 31 AUG

    Episode 57 : Escaping the AI Content Loop: Compression Without Context

    We scroll. We consume. We share. But how much of what we engage with is truly original thought—and how much is just a reflection of a reflection? In this episode, we explore the AI content loop: how insights are compressed, repackaged, and rephrased until meaning fades. From policy reports to scientific research to thought leadership, we unpack what gets lost in translation—and how to break free from the cycle. Tune in to discover why thinking clearly and creating with intent is the new edge in an age of automated compression.

    6 min

  6. 24 AUG

    Episode 56 : Reasoning in Agentic AI: Open-Ended Thinking vs. Closed-Ended Execution

    This episode will explore how Agentic AI systems “think” and “reason”—examining the difference between open-ended exploration (creative, generative, speculative) and closed-ended reasoning (focused, deterministic, goal-specific). We’ll discuss: When to use each type of reasoning in AI workflows. The risks of open-ended thought (e.g., hallucination, inefficiency) vs. the limitations of closed-ended logic (lack of innovation, rigidity). How to design agentic systems that balance both—using open-ended reasoning for ideation and exploration, and closed-ended reasoning for execution and precision. The role of prompt design, planning agents, and model selection in shaping how “thought” happens inside AI systems. The podcast will also touch on environmental impact—how sprawling open-ended reasoning can drive up compute unnecessarily if not constrained—and how to architect for leaner, purposeful thinking.

    5 min

  7. 17 AUG

    Episode 55 : Designing Lean Agentic AI: Principles for Sustainable Autonomy

    In this episode of Agentic AI: The Future of Intelligent Systems, we explore the practical principles behind designing sustainable agentic AI—focusing on goal clarity, planning depth, tooling, and retry strategies. How can we create autonomous systems that are not only intelligent but also efficient, responsible, and mindful of their environmental impact? Join us as we break down actionable strategies for embedding sustainability into the core of agentic AI workflows. For a deeper dive, check out the detailed white paper - https://github.com/navveenb/lean-agentic-ai/tree/main/research/Sustainable%20Agentic%20AI —available for free.

    6 min

  8. 10 AUG

    Episode 54 - Sustainable Agentic AI: Designing Intelligent Systems that Care

    As agentic AI becomes central to how organizations innovate and automate, sustainability must move from the sidelines to the core of AI design. In this episode of Agentic AI: The Future of Intelligent Systems, we explore how to build AI systems that are not only smart and autonomous but also efficient, scalable, and environmentally responsible. Learn how early design choices—from goal definition to model selection and memory management—shape the cost, carbon, and long-term impact of AI systems. This episode introduces the mindset of Lean and Green Agentic AI and sets the stage for deeper exploration of sustainable principles in future episodes.

    5 min
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About

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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