Ever felt that traditional AI chats were a one-way street? Modern AI platforms are evolving from single-turn, one-sided interactions into collaborative, multi-agent dialogues where users are active participants. These systems don’t just respond; they reason, coordinate, and engage, creating dynamic conversations that feel more like teamwork than Q&A.

In this session, we’ll explore how to design and implement an Agentic Group Chat system that includes the user as an active participant in the conversation. You’ll learn how Semantic Kernel enables orchestration of multiple AI agents and how SignalR powers real-time user interactions. We’ll demonstrate these concepts using an open-source project focused on development effort estimation, showcasing how agentic systems can collaborate with humans to solve complex problems.

This talk is rated Level 300 and is ideal for developers, AI practitioners, and architects who have a solid understanding of .NET AI stack.