AI agents are changing the way work gets done.
As agentic AI systems become more capable, our real advantage will not come from technical proficiency. Our advantage will come from knowing how to manage AI agents well.
The ability to scope agentic projects, manage autonomous systems, evaluate their performance, and design the information environments that make agents effective - these are the skills of the future.
This workshop is for proficient AI operators, team leaders, and decision-makers who want to understand the next layer of AI capability.
In this session, you will learn:
- what AI agents are, and how they differ from simple chat-based tools
- which new skills matter when agents start taking action on your behalf
- how organisations can identify useful agentic projects
- what tools can be used to build agent harnesses
- what it takes to manage, monitor, and improve AI agents in production
- why context engineering, system prompts, and performance evaluation are becoming core professional capabilities
A variety of AI agentic toolsets will be reviewed, including Claude Cowork, Copilot Agents, OpenAI's ChatGPT, and OpenClaw. We will discuss the different types of memory, how to manage and optimise them for performance, and what skills will make you stand out as a leader of an AI agent swarm.