In the journey of building multiple production AI agents, a significant realization emerged: the primary limitation was not the intelligence of the agents, but rather their understanding of context.
Context plays a crucial role in how AI agents interpret data and make decisions. Without a proper grasp of the surrounding circumstances, even the most advanced AI can falter.
This article delves into the challenges encountered during the development of these agents and the insights gained regarding the importance of context in enhancing their performance.