Michael Jansen and Dr. Prasanta Bose join Evan Troxel and Randall Stevens to talk about what it takes to put an intelligence layer on top of a digital twin. Bose traces the idea back through reinforcement learning, Lockheed Martin satellites, and Starbucks before explaining why a real twin needs both a sensing layer and a cognitive one. They get specific about the decisions behind TwinMaster: refusing to build another design authoring tool and instead embedding their Arch-e copilot inside Revit, Archicad, and MicroStation; building a semantic, systems-oriented model so the AI can reason about a wall as more than two planes; and tuning existing models with context rather than training their own.
This episode is especially relevant for design technologists, BIM leads, and AEC software teams weighing how AI actually fits into established tools instead of replacing them. Jansen makes the case that architects, who create the original twin, could sell and maintain it as an ongoing service and move past one-time fixed fees. You will come away rethinking where the value sits after the drawings are done.
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The Confluence podcast is a collaboration between TRXL and AVAIL, and is produced by TRXL Media.
