
Join us as we sit down with Bruce Henderson, CTO of Sage-Tech.ai, to get an in-depth look at their platform and the #technology driving it. This conversation provides valuable insights into the technical operations and #leadership involved in their enterprise #aistrategy. Stay updated with the latest AI news and gain a deeper understanding of how AI is explained in practical applications. Bruce built his career maintaining, upgrading, and retiring the massive legacy systems that sit at the heart of the global economy. In this conversation, he pulls back the curtain on how Sage Tech actually works — from the queryable context graph and cognitive model to the AI inference layer, ephemeral environments, and why vector RAG failed them before they built something better. This is one of the most technically honest conversations about enterprise AI you will hear anywhere. No hype. No sales pitch. Just a veteran engineer telling you exactly what works, what does not, and what every CTO needs to understand before 2030. Learn more about Sage Tech: https://sage-tech.ai Miss Part 1? Watch the business track with Deepak Sharma here: [link] CHAPTERS 00:00 Introduction — Why Bruce Built Sage Tech 04:01 From Code to Knowledge — The Pivot That Changed Everything 08:07 The Queryable Context Graph Explained 10:15 Why Vector RAG Failed and What Replaced It 14:03 How the Graph Gets Built From a Real Code Base 17:14 Outputs, Documentation, and Self-Service Intelligence 24:04 Scaling From 500K to 15 Million Lines of Code 28:44 Ephemeral Environments and the Future of AI Coding LIGHTNING ROUND 38:33 Most Overrated Thing in Enterprise AI 39:16 The Underrated Risk Nobody Is Talking About (De-skilling) 40:09 Bruce's Favorite Tool Most People Have Never Heard Of 41:12 What He Would Do Differently Building Sage From Scratch 42:42 The One Thing Most CTOs Still Do Not Believe About AI in 2026 Subscribe so you never miss an episode. Please Like, Comment, Share, and Subscribe We sit down with Bruce Henderson, CTO of Sage-Tech.ai, for an in-depth discussion on their platform and its core technology . This episode offers key insights into technical operations and the enterprise ai strategy driving their work. Discover how their innovation is shaping the future of AI.
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