Annabell Schäfer

This talk addresses the critical need for domain expertise in AI self-improvement loops. It argues that without a deep understanding of the specific domain, automated improvement processes can be inefficient or ineffective. The core thesis is that the most efficient path to a continuously improving agentic system involves a collaboration between domain experts and automation, with clear handoff points.