Artificial intelligence operating systems require special attention in design and implementation due to their dynamic nature and constant changes in operational environments. Neglecting certain anti-patterns in building these systems can lead to problems and reduced efficiency.
Understanding and preventing these common mistakes plays an important role in improving the performance and stability of AI agents, and developers should always keep these points in mind.