Agentic AI: The Future of Intelligent Systems

• Episode 71: Why LLM Model Upgrades Are Becoming the Hardest Problem

  In this episode, we explore a quiet but profound challenge emerging across the artificial intelligence landscape: model upgrades that no longer behave like software updates. Newer versions of large language models often shift reasoning patterns, change output formats, and break carefully-designed workflows, leaving organisations struggling to maintain consistency, trust, and reproducibility.Drawing from real-world evidence and industry research, this narrative uncovers why behaviour changes between versions are inevitable, why backward compatibility is nearly impossible, and why engineering discipline — not just better models — will determine who succeeds in the era of agentic systems.A deep dive into a problem every AI team will face, and one that will shape the future of intelligent systems.

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• Episode 70: Building Production-Ready Agentic AI Systems — AI Life Coach Application

  This episode explores what it truly takes to build a production-ready agentic AI system — the architecture beneath it, the behavioural and contextual logic that gives it depth, and the engineering discipline required to move beyond clever demos into systems that evolve with real users. It reflects on where AI coding copilots fall short, why domain understanding matters, and how practical constraints shape every design decision.Humanity has been trying to understand itself long before machines existed. Astrology, the Chinese and Vedic systems, numerology, cultural archetypes, and behavioural science have all attempted, in different ways, to decode why people think, feel, and act the way they do. If you strip away the labels, they are simply frameworks for interpreting human tendencies. Reimagining these systems — not as prediction tools, but as structured behavioural lenses for the modern world — became one of the foundational ideas explored in this episode.The discussion includes my journey of building the AI Life Coach system from scratch as a practical example. Do check it out, support it, and share it — the app is available on both Android and iOS at https://ailifecoach.in/.

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• Episode 69 : Ten Principles of Modern Architecture for the Agentic AI Era

  In this episode of Agentic AI — The Future of Intelligent Systems, we explore the architectural foundations that determine whether Agentic Artificial Intelligence becomes powerful… or unmanageable.Modern architecture is being rewritten as agents plan, act, reason, trigger tools, and evolve faster than traditional systems can keep up. This episode breaks down the ten core principles every organisation must master—modularity, simplicity, scalability, reusability, maintainability, security, sustainability, economical design, ethical considerations, and responsible architecture.These principles are no longer optional. They define how autonomous systems behave, how they scale, how they stay safe, and how they remain sustainable.Because the future of Agentic AI will not be shaped by how fast agents think, but by how well we design the foundations beneath them.Tune in for a deep, practical, and forward-looking conversation on building systems that endure in an era where artificial intelligence doesn’t just generate output… it acts.

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• Episode 68: When Story Overtakes Systems: The Artificial Intelligence Bubble

  This episode breaks down a quiet shift happening beneath the excitement surrounding artificial intelligence. The technology continues to advance rapidly, but the systems, processes, and expectations around it are not keeping pace. The result is a growing gap between what artificial intelligence can demonstrate in isolation and what organizations can reliably run at scale.We explore why inflated expectations are beginning to correct, why prototypes fail when they meet real-world environments, why costs and constraints are forcing more grounded choices, and why engineering discipline—not model size—will determine who succeeds. This isn’t collapse. It’s a structural reset, pushing the narrative back toward fundamentals: efficiency, integration, reliability, trust, and sustainable design.Tune in to understand why the narrative bubble has burst and why the real journey of artificial intelligence begins now.

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• Episode 67 : When AI Acts for You: The Thin Line Between Freedom and Control

  This week’s episode dives into one of the most critical questions shaping our digital future — what happens when AI stops assisting and starts acting?As AI agents become capable of executing real actions — from shopping to scheduling, from browsing to managing — we find ourselves at a crossroads between freedom and control. Who truly holds the power when an AI acts on your behalf: you, the assistant, or the platform that hosts it?The recent debate between Perplexity and Amazon captured this growing tension. Perplexity believes users should be able to let their AI assistants act freely using their data and accounts. Amazon, on the other hand, worries that such autonomy challenges years of trust, governance, and security carefully built within its ecosystem.Neither side is wrong — they’re simply defining different parts of the same evolution. This isn’t just about two companies; it’s about the world’s shift toward agentic systems that blur the line between automation and authority.In this episode, I explore why innovation must respect what platforms have built — their infrastructure, governance, and trust models — while still challenging the limits of what’s possible. History has shown us how conflict can become collaboration: when web automation raised similar fears years ago, it led to OAuth — a standard that balanced safety and innovation. AI now needs its own version of that balance.Because real progress won’t come from breaking rules; it will come from redefining them responsibly.Innovation should challenge limits, not disregard them. And the future of AI will depend on platforms and pioneers evolving together — with trust at the core.Tune in to When AI Acts for You: The Thin Line Between Freedom and Control — and join me as we unpack how to keep innovation moving forward without losing the balance that makes it meaningful.

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