The Challenges of AI Agents

AI agents face fundamental issues that hinder their effectiveness in real-world applications. One major concern is their inability to be debugged effectively when involving multiple agents working together, resulting in challenges with unpredictability. Unlike traditional software where each component can be controlled and tested, AI agents often do not have true agency, meaning their responses can be inconsistent and unanticipated. Ultimately, these limitations raise significant questions about how reliable AI agents can truly be in various practical scenarios.