Johan Lajili

This talk addresses the discrepancy between the perceived capabilities of AI agents and their actual performance in real-world applications. The core argument is that the difference lies not in the agent's inherent ability, but in the feedback loop and the agent's ability to verify its own actions. Without robust verification mechanisms, agents may produce seemingly correct output that is actually flawed, leading to user frustration and distrust.