What most community practitioners are missing isn’t exposure to the tools. It’s a clear decision framework for their specific role, one that tells you when an agent is the right call, when an MCP changes everything, and when the most powerful thing you can do is stay human and trust your instincts.

We go use case first, tool second, decision framework third. Every concept gets introduced through a community problem you already recognize. We’ll also walk through MCP use cases built specifically for community teams … what they connect, what they do for you, and why they change what’s possible when your community data actually talks to the rest of your org.

Whether you want to build deeper on what you’ve already started or finally get a strategic framework underneath your experiments, this session meets you where you are.

You’ll walk away with:

• A use-case-first breakdown of agents, MCPs, and AI workflows and when each applies to community work
• A first look at MCP use cases built for community teams and a workflow to try immediately
• A workflow map: what belongs to AI, what belongs to you, what you’re going to stop doing entirely