There’s a lot of noise around “learning AI.” New tools, new frameworks, and new model releases appear constantly. It can feel like you’re always behind! But when you look at how many modern AI systems are actually built today, a clear pattern emerges. Many real-world AI applications involve some combination of: • agents that can take actions • access to external data • evaluation loops to improve reliability • alignment with human intent • interaction with real interfaces and…