Agents shouldn’t feel like magic—they should feel testable. In this session you’ll learn the core patterns behind agentic systems in C#: planning, tool use, memory, reflection, and evaluation loops. We’ll implement a small, real-world workflow (e.g., “triage → decide → perform action → verify”) using .NET and common AI SDKs, then add the guardrails that turn a demo into something you can ship: schema-based tool calls, scoped permissions, retry/rollback, and behavior evals in CI.

To make it stick, we’ll use a quick Minions metaphor—specialized “little workers” that each do one job well—but we’ll keep the focus on production code. You’ll leave with copy-and-pasteable patterns, a reference repo, and a mental model to scale from single-agent helpers to multi-agent teams without chaos.