Raj Navakoti is a Staff Software Engineer at IKEA’s digital hub in Amsterdam, where he focuses on enterprise architecture and AI agent systems. He is the creator of Demand-Driven Context (DDC), a research framework for curating domain knowledge for AI agents, with research published on arXiv and under review at IEEE. Raj speaks internationally on reverse-engineering domain complexity in legacy systems and building context-aware AI. When he’s not deep in code, he’s exploring the intersection of neuroscience and technology.
Build a real Context Block, learn the advanced context-engineering skills rarely covered in depth — typed ontologies, evals for context, governance, self-evolving — and leave with a repeatable method you can apply next week.
Every talk this year is about making AI agents do more — write more code, take more actions, run more autonomously. Yet many enterprise AI pilots still fail to deliver production value, and the usual suspects — model choice, prompts, infrastructure — are often not the real culprit.
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