You're right—many AI agent problems stem from improper data, lack of domain knowledge, or inadequate integration rather than the model itself. Issues like poor training data, insufficient fine-tuning, or misaligned objectives often lead to suboptimal results. Addressing these foundational elements usually resolves most challenges with AI agents.