In this episode of Dynamics Corner, Kris, and Brad welcome back Dmitry Katson — a 20-year Business Central veteran, 10-year AI practitioner, and creator of CentralQ — for what might be the most eye-opening breakdown of how AI works that you'll hear this year. Dmitry walks through the mechanics piece by piece: what a large language model really does (predicts the next word — that's it), what an agent is (an LLM working in a loop with tools), and why your agent has zero memory between calls. His analogy is unforgettable — every time you send a message, the model is born, reads your conversation, answers, and dies. The next message? Born again with no memory of its past life. From there, the conversation takes fascinating turns: why the same prompt in GitHub Copilot and Claude Code can produce different results (it's the framework, not the model), how Dmitry built custom MCPs to dig through a decade of personal emails for a visa application, why voice mode is no longer speech-to-text but true audio-to-audio generation, and a mind-bending experiment where scientists digitally recreated a fruit fly's brain — neurons, connections, and all — and watched it come alive. Whether you're just getting started with AI or deep in the agentic development world, Dmitry's clarity will recalibrate how you think about every tool you use.


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