Explore the reality behind AI agents in this keynote conference talk that examines what large language model agents can truly accomplish versus the illusion of their capabilities. Delve into the fundamental limitations of current AI systems that rely on prediction rather than genuine understanding, while learning to identify common failure patterns and design strategies that work around these constraints. Discover practical evaluation techniques and tools for building genuinely useful agents through real-world examples of both successes and failures. Gain insights into the future evolution of agent-powered development and actionable steps to stay competitive as these technologies become mainstream, presented by Deepchecks co-founder and CTO Shir Chorev at PyCon Israel.