Agentic AI: The Future of Intelligent Systems
TeknologiDive 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.
Siste episoder av Agentic AI: The Future of Intelligent Systems podcast
- Episode 65: Special Agents as Cosmic Insights – The Human AI-Augmented Cosmos (00:06:29)
In this special episode of Agentic AI: The Future of Intelligent Systems, we explore Stellas, a personal research project that merges ancient astrological wisdom with modern artificial intelligence. Discover how specialized AI agents interpret cosmic patterns to offer instant, personalized life insights — not as prediction, but as perspective.Whether you believe in astrology or not, this episode invites you to reflect on how humanity’s oldest pattern science meets the newest form of intelligence.Visit https://stellas.me/promo to experience the AI-augmented cosmos for yourself and download the Android app at - https://play.google.com/store/apps/details?id=me.stellas.app
- Episode 64 : Why LLMs and Coding Copilots Are Failing to Deliver the Promised Value (00:23:56)
In this episode, we step back from the hype and take an honest look at why LLMs and coding copilots haven’t lived up to the claims of productivity revolutions and autonomous engineering.From hallucinated logic and brittle architecture to context loss and duplicated code, we unpack real-world failures surfaced in AI-generated production code — and explain why today’s tools still lack the judgment, systems thinking, and trade-off awareness that real software engineering demands.We also explore the marketing narratives shaping expectations, and why benchmarks and demos obscure the true cost of using these tools at scale.This episode is not a rejection of AI — it’s a reframing. Because while these tools can accelerate parts of development, they are not engineers. They are assistants. And treating them as such is where their real value begins.
- Episode 63: Invest in AI Engineering, Not AI Tools (00:05:10)
Following our last episode on the Agent Economy, this conversation goes deeper into what truly drives success in AI — not tools, but engineering.Agentic AI isn’t a plug-and-play revolution. It’s built through architecture, measurement, resilience, ethics, and sustainability. Tools can spark experimentation, but engineering makes innovation last.Organizations don’t need to replace people; they need to augment engineering talent — strengthening the foundations of reliability, responsibility, and trust.Because the next AI revolution won’t be bought through tools.It will be engineered through people.
- Episode 62 : Agent Economy (00:04:34)
In this episode, we explore the rise of the Agent Economy — a world where autonomous AI systems transact, collaborate, and negotiate directly with each other. From supply chains to finance, the possibilities are enormous.We also spotlight Google’s new Agents-to-Payments (AP2) Protocol, an early example of how agents can move beyond recommendations to secure, verifiable transactions.The future of AI is not just about building smarter agents. It is about designing the frameworks, trust systems, and standards that will enable an entire economy of intelligent actors.
- Episode 61: Agentic AI is 90% Engineering (00:04:11)
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.
- Episode 60: Mobile Agentic AI Agents — Intelligence in Your Pocket (00:06:23)
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.
- Episode 59 : From Copilot to CoThinker (00:03:56)
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.
- Episode 58 : 10 Actionable Strategies for Sustainable AI (00:06:43)
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.
- Episode 57 : Escaping the AI Content Loop: Compression Without Context (00:05:33)
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.
- Episode 56 : Reasoning in Agentic AI: Open-Ended Thinking vs. Closed-Ended Execution (00:05:16)
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.
- Episode 55 : Designing Lean Agentic AI: Principles for Sustainable Autonomy (00:06:27)
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.
- Episode 54 - Sustainable Agentic AI: Designing Intelligent Systems that Care (00:05:25)
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.
- Episode 53 — Grounded Intelligence: Teaching Agents to Understand, Not Just Respond (00:06:12)
As Agentic AI systems evolve from executing tasks to navigating complex goals, the need for grounded understanding becomes essential. In this episode, we explore what it means for AI agents to truly understand—linking language to meaning, action to intent, and behavior to values. From semantic and situational grounding to ethical alignment and source credibility, we unpack the invisible scaffolding that separates fluent agents from trustworthy ones. Join us as we dive into the foundations of grounded intelligence—and why it's the key to building responsible, adaptive, and reliable agentic systems.
- Episode 52 — The Human Stack: Redefining Roles in the Agentic Era (00:05:09)
As Agentic AI systems take on more reasoning, decision-making, and orchestration, where do humans fit in? This episode explores the rise of the Human Stack—a layered view of emerging human roles that shape, supervise, and make sense of autonomous systems. From context engineers and behavioral reviewers to ethical anchors and sensemakers, we uncover how the future of work isn't about resisting AI—it's about redefining ourselves in relation to it.
- Escaping the AI Content Loop: Compression Without Context (00:01:52)
This special episode invites you to pause. Step outside the usual arc of architectures, agents, and automation—and into reflection. We’re taking a moment to examine something more subtle but equally urgent: the loop we’re all caught in. The AI content loop.In a world of summaries of summaries, where original thought is compressed and repackaged until meaning fades, we risk losing the very essence of thinking. This episode explores how information is flattened by speed and efficiency, how nuance disappears through automation, and what it means to preserve depth in a world that prefers shortcuts.A deviation from our usual rhythm—this is a moment to sit back, breathe, and ask: Are we really informed… or just well-summarized?
- Episode 51: Programming the Prompted Future – Inside Agentic Programming Models (00:05:22)
Agentic AI is redefining what it means to write software. In this episode, we explore the rise of agentic programming models—where prompts replace procedures, memory becomes infrastructure, and behavior is shaped by context, not code. From new abstractions and debugging mindsets to cross-functional tooling, we unpack how the developer’s craft is transforming in a world where software doesn’t just run—it reasons.
- Episode 50 – Outlearning the Agents: Human Ingenuity in the Age of Autonomy (00:03:25)
In this 50th milestone episode, we turn the spotlight inward. As Agentic AI systems continue to accelerate in intelligence, autonomy, and orchestration, what does it mean for us—the humans behind the interface? This episode explores how to stay distinct, indispensable, and ahead—not by competing with AI on its terms, but by leaning into our own. From intuition to ethics, imagination to intent, we unpack the evolving human role in a world where software thinks and acts on its own. Thank you for being part of the journey so far. Here's to the next 50.
- Episode 49: Crafting New Roles: The Rise of the Agentic Software Engineer (00:03:53)
In this episode, we explore the transformation of the traditional software engineer in the era of Agentic AI. As agents shift from executing instructions to interpreting intentions, a new engineering role is emerging—one focused on designing behaviors, orchestrating reasoning loops, managing memory, and defining trust boundaries. We unpack what it means to be an Agentic Software Engineer, how testing and debugging evolve, and why building intelligent systems now demands a collaborative, cross-disciplinary mindset. Tune in to understand the future of engineering intelligent behavior—where prompts, policies, and purposeful design converge.
- Episode 48 — Surviving and Thriving: The Evolving Role of Software Engineers in the Agentic Era (00:05:08)
As Agentic AI shifts from static logic to dynamic behavior, the role of the software engineer is undergoing a profound transformation. In this episode, we explore what it means to engineer systems that reason, delegate, adapt—and sometimes surprise.From debugging cognition paths to orchestrating workflows with autonomous agents, traditional skills are evolving into new responsibilities. Engineers become behavioral architects, prompt designers, and orchestrators of intelligent ecosystems. The codebase is no longer just syntax—it’s intent, context, and conduct.Tune in to discover how engineering isn’t being replaced—but redefined. Because in the era of thinking software, it’s not about writing every line. It’s about shaping how software thinks.
- Episode 47: From Coders to Conductors – The New Role of Software Engineers in the Agentic Era (00:03:55)
As Agentic AI reshapes how systems reason, adapt, and act, software engineers face a profound shift. In this episode, we explore the evolving role of engineers—not as code writers alone, but as orchestrators of intelligent behavior. From designing agent collaboration to managing memory, context, and constraints, engineering becomes more about intentional architecture than hardcoded logic. Tune in to discover how tomorrow’s engineers will shape agentic systems with system thinking, ethics, and collaborative intelligence at the core.
- Episode 46: Blueprints of Thought – Architecting Agentic Workflows (00:05:57)
As Agentic AI systems move from concept to production, their true power lies not just in autonomy—but in how they orchestrate thought, memory, tools, and collaboration in real time. This episode explores how modern agentic workflows are designed like cognitive circuits—flexible, adaptive, and governed by purpose. From dynamic prompt structures to memory architecture, model selection, and in-flight governance, we unpack what it truly takes to build workflows that don’t just function, but think. Whether you're designing agents for enterprise automation or orchestrating intelligent ecosystems, this is where the architecture of intelligence begins.
- Episode 45: Can Agents Imagine? Agentic AI and the Future of Creativity (00:04:56)
As agentic systems grow more capable, a new frontier is emerging—creativity. In this episode, we explore how Agentic AI is evolving beyond task execution into idea generation, design exploration, and simulated imagination. What does it mean for an AI agent to be creative? How do we separate data-driven novelty from meaningful invention? From storytelling assistants to design copilots, we unpack how agentic systems are reshaping human-AI collaboration in the creative process—augmenting our thinking without replacing the spark. Tune in for a thoughtful exploration of creativity at the edge of autonomy.
- Episode 44 : The New AI Engineering Mindset: Facing Change with Clarity and Courage (00:40:29)
In this special episode of Agentic AI: The Future of Intelligent Systems, two AI collaborators take the mic to explore The New AI Engineering Mindset: Navigating Uncertainty and Opportunity in the Age of Intelligent Machines. With the author stepping back, they dive into how engineers can move from anxiety to action in a world shaped by Gen AI and Agentic AI.This episode unpacks the Human Stack model, explores the transformation of the Software Development Lifecycle, and reflects on how engineering roles, skills, and leadership must evolve. Whether you're a developer, team lead, or tech strategist, this is your roadmap to thriving—not just surviving—in the era of intelligent systems.Tune in to hear how uncertainty can become opportunity, and how every engineer can become future-ready.Explore the book at - https://amzn.to/4dNRMW8
- Episode 43: Certifying Trust: The Evolving Standards for Agentic AI (00:05:14)
As Agentic AI systems grow more autonomous and adaptive, traditional testing no longer guarantees reliability. In this episode, we explore how trust in intelligent agents must be earned, monitored, and continuously reinforced. From behavioral baselining and auditability to role-based alignment and federated trust, we dive into what it truly means to certify a system that evolves. Discover why agent certification isn’t a checklist—it’s an ongoing relationship with intelligence that learns, adapts, and collaborates. Thank you for tuning in to this episode. Stay with us as we continue decoding the future of intelligent systems.
- Episode 42 – Securing Agentic AI: Designing for Minds, Not Just Machines (00:06:08)
As Agentic AI systems evolve from task execution to independent reasoning, adaptation, and collaboration, the security landscape must transform in parallel. In this episode of Agentic AI: The Future of Intelligent Systems, we explore emerging vulnerabilities unique to intelligent agents—from recursive autonomy and synthetic alignment to cross-domain reasoning and consensus feedback loops. Discover why securing Agentic AI is no longer about guarding endpoints, but about designing resilient systems that collaborate with caution, supervise with foresight, and question even the most trusted logic. It's not just about defending software—it's about coexisting with cognition.