Vertical AI agents are exhibiting a powerful approach to tackle dedicated tasks within defined domains. As the field of AI advances, scaling these agents optimally becomes crucial for maximizing their impact. This involves optimizing their architectures, training methodologies, and implementation strategies to handle increasingly complex and burden