Peter Werry

This talk introduces the concept of a "context engine" for AI agents, which aims to provide agents with the necessary information to perform tasks effectively without overwhelming them with irrelevant data. The core idea is to move beyond simple access to information and achieve true understanding, enabling agents to operate with the efficiency and insight of a seasoned team member. The presentation debunks common myths about context engines and shares lessons learned from building and implementing such systems.