  The advent of Generative AI and Large Language Models has not only enhanced
the intelligence of interactive applications but also catalyzed the formation
of communities passionate about customizing these AI capabilities. FlowGPT, an
emerging platform for sharing AI prompts and use cases, exemplifies this trend,
attracting many creators who develop and share chatbots with a broader
community. Despite its growing popularity, there remains a significant gap in
understanding the types and purposes of the AI tools created and shared by
community members. In this study, we delve into FlowGPT and present our
preliminary findings on the domain, output modality, and goals of chatbots. We
aim to highlight common types of AI applications and identify future directions
for research in AI-sharing communities.
