Building Practical AI Agents

Peter Hanssens walks through building a functioning agent from the ground up, then breaks down the reasoning loop, tool calling, and memory patterns that actually separate agents from the chatbots most teams are still shipping. You'll see the core architectures that work, learn when agents solve your problem versus when they don't, and come away with a realistic sense of what's involved in implementation. This is a technical session with hands-on code, so bring a laptop and basic Python comfort helps, but the focus stays on practical patterns you can use immediately rather than theory. If you're exploring where agentic AI fits into your roadmap, this two-hour session gives you the foundation to make that call.