Data generation via AI distillation

Could we draw inspiration from the Mixture-of-Experts (MoE) architecture to design multiple agent workgroups—each comprising eight distinct models—that simulate the various specialized teams found in human software development? By assigning unique “souls” to activate specific model weights, and integrating mechanisms like loops and goals alongside some human oversight, we could generate high-quality, efficient, and elegant code and documentation at scale. For instance, we could configure specialized teams for UI, UX, and backend development—each consisting of a mix of powerful and smaller models—to mirror actual software departments and generate the data needed to alleviate data scarcity.