What happens when we stop thinking of AI agents as tools—and start thinking of them as teammates? In this session, we’ll explore the shift from traditional, linear workflows to community-led, autonomous systems where agents and humans collaborate in shared leadership models.

You’ll learn:
• The philosophical and practical differences between delegating to humans vs. agents
• How autonomous agents can take initiative, adapt, and contribute to team goals
• The role of community-led orientation in designing agents that align with collective values and goals
• Real-world patterns for task delegation, feedback loops, and trust-building with AI agents

We’ll also discuss how to design agents that are not just reactive, but proactive—capable of participating in a team’s mission, not just executing instructions. This session is ideal for developers, designers, and leaders interested in the future of collaborative AI.