Enterprise teams spend a lot of time trying to guess what AI agents need to know. This workshop flips that around. Instead of curating context top-down, Raj Navakoti shows how to build a demand-driven context base by giving agents real problems, watching where they fail, and using those failures to reveal exactly what knowledge is missing. Using practical exercises and real examples from IKEA Digital, the session walks through how to grow a knowledge base problem by problem, structure it in Markdown, and us ...