AI Master Podcast
AI Master Podcast
Podcast Description
🎙️ AI Master Podcast – Your gateway to mastering the world of Artificial Intelligence.
Hosted by Dariusz Kalbarczyk, Google Developer Expert and founder of NG Poland, JS Poland, and AI Poland, this podcast is dedicated to frontend and fullstack developers who want to harness the power of AI in real-world applications.
Each episode brings you deep dives into cutting-edge tools, practical use cases, and hands-on techniques — from building AI agents and integrating LLMs to RAG (Retrieval-Augmented Generation), fine-tuning models, and more.
Podcast Insights
Content Themes
The podcast focuses on understanding and utilizing artificial intelligence in practical applications, covering topics such as AI agents, large language models, retrieval-augmented generation, and model fine-tuning. For instance, the inaugural episode features insights on open-source models like Gemma and Gemini, offering listeners a blend of technical knowledge and real-world advice.
🎙️ AI Master Podcast – Your gateway to mastering the world of Artificial Intelligence.
Hosted by Dariusz Kalbarczyk, Google Developer Expert and founder of NG Poland, JS Poland, and AI Poland, this podcast is dedicated to frontend and fullstack developers who want to harness the power of AI in real-world applications.
Each episode brings you deep dives into cutting-edge tools, practical use cases, and hands-on techniques — from building AI agents and integrating LLMs to RAG (Retrieval-Augmented Generation), fine-tuning models, and more.
Building an AI agent is relatively easy. Building one that is reliable, secure, measurable, and useful in a large company is much harder.
In this episode of the AI Master Podcast, I talk with Greg Radzio, who has spent almost two years designing and deploying AI agents for real business projects, including a large enterprise platform.
We examine the complete path from identifying a business problem to running an agent in production. Greg explains why improving the speed of individual employees does not automatically improve the performance of the whole organization.
We discuss:
✅ How an AI agent differs from a chatbot
✅ How to select a business process that is suitable for automation
✅ Why many AI projects remain proofs of concept
✅ The architecture of a production AI agent
✅ Models, tools, context, memory, and orchestration
✅ The role of an agent harness
✅ Testing systems that can return different results for the same input
✅ Evaluations, quality metrics, and business KPIs
✅ Preventing hallucinations and low-quality output
✅ Permissions, data access, and security boundaries
✅ Human approval for important operations
✅ Logging, tracing, monitoring, and incident handling
✅ The difference between a local coding assistant and a production agent
✅ How to introduce agents without automating a broken process
✅ What a company should achieve during its first 90 days
We also consider a fundamental question: can AI repair an inefficient business process, or will it only make that process fail faster?
At the end, Greg explains what developers, technical leaders, and business teams should understand before giving an AI agent access to company systems, code, and data.
Greg will continue this topic at AI Poland 2026.
Join us at our 2026 conferences:
🔴 NG Poland: https://ng-poland.pl
🟡 JS Poland: https://js-poland.pl
🟣 AI Poland: https://ai-poland.pl
A special thank you to Michał Łukawski and the entire SYZYGY team.
SYZYGY is the official partner of this episode. Thank you for supporting the AI Master Podcast and helping us create valuable technical conversations for the community! 🙏
#AIAgents #AgenticAI #EnterpriseAI #LLM #SoftwareArchitecture #AIEngineering #AIMasterPodcast #AIPoland
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