  Managing rapidly growing decentralized gaming communities brings unique
challenges at the nexus of cultural economics and technology. This paper
introduces a streamlined analytical framework that utilizes Large Language
Models (LLMs), in this instance open-access generative pre-trained transformer
(GPT) models, offering an efficient solution with deeper insights into
community dynamics. The framework aids moderators in identifying pseudonymous
actor intent, moderating toxic behavior, rewarding desired actions to avoid
unintended consequences of blockchain-based gaming, and gauging community
sentiment as communities venture into metaverse platforms and plan for
hypergrowth. This framework strengthens community controls, eases onboarding,
and promotes a common moral mission across communities while reducing agency
costs by 95 pct. Highlighting the transformative role of generative AI, the
paper emphasizes its potential to redefine the cost of cultural production. It
showcases the utility of GPTs in digital community management, expanding their
implications in cultural economics and transmedia storytelling.
