Synopsis

You have probably used an AI chatbot for a research task by asking one question at a time, and you have likely hit the ceiling of what that approach can do. This workshop shows you something different: how to move from simple prompting to building a team of AI agents that works alongside you. 

Instead of treating AI as a single assistant, you query one question at a time, and you will learn to orchestrate a multi-agent system: a coordinated team where each agent takes on a distinct role in your research process. One agent brainstorms and refines hypotheses, another drafts and structures a proposal, another scans and summarizes the literature, and another sharpens the clarity and coherence of your academic writing. Working together, they handle research tasks that a single chatbot simply cannot. 

The first session presents the principles: how these tools actually work, when to use which platform, and how to direct a system of agents so that the output is accurate, rigorous, and genuinely yours. The second session is hands-on, where you operate a multi-agent system yourself and put it to work on your own research, leaving with a workflow you can keep using.