Most AI talks tell you what agents can do. This workshop gets you to actually running one.

You don't need to know how to code an agent from scratch. You just need a laptop and the willingness to play with something new. By the end of this session, you'll have a working autonomous agent configured and running: not a demo, not a slide, something you built.

Here's what we'll do: start with nothing (seriously, no setup required. We'll use existing platforms), configure your first agent with specific goals and boundaries, connect it to tools (email, calendar, tasks, whatever you need), set up verification so the agent proves its work, add memory so it remembers across sessions, and define failure handling so you know when things go wrong.

You'll leave with a working agent that does something useful for you: Not a toy, something you can actually use. I'll share the same setup patterns I use running my own agents, including what breaks, what I wish I'd known first, and how to scale from one agent to many.

Prerequisites: basic terminal comfort, a laptop, a Github account, Claude/ChatGPT/LLM sub of your choice, and an IDE account on whatever platform you use. No coding required. If you've ever configured a Slack bot or a Zap, you can do this.