This episode covers reasoning models, the shift from manually guiding a model's thinking to letting the model reason through complex problems on its own before responding. It explains the concept of test-time compute, why reasoning models take longer but perform dramatically better on hard tasks, and how they change the way you should prompt. It walks through when to reach for a reasoning model versus a standard one, and closes by framing the full prompt engineering toolkit in context, from few-shot examples through reasoning models.