500 cards
This deck walks you through the core ideas behind autonomous AI agents — from what makes them different from a regular chatbot, to how they observe, reason, and act in a loop. You'll explore foundational concepts like tool use, grounding, and autonomy, then move into more architectural ideas such as single-agent versus multi-agent setups, orchestration patterns, and widely used frameworks like LangGraph and AutoGen. It's a great way to build a clear mental model of how modern agentic systems are designed and put together.
The deck is well suited for developers getting started with agentic AI, computer science students exploring applied AI topics, or technically curious professionals who want a structured vocabulary for discussing agents. If you're new to the field, the cards start with the basics and build up gradually, so you don't need prior hands-on experience to follow along. If you've already built a few agents, the deck can still serve as a handy refresher on terminology and patterns.
To get the most from these cards, try to connect each concept to a concrete example or system you know — for instance, thinking about where the observe-think-act loop shows up in a real workflow. Space out your review sessions over a few days rather than cramming, since the ideas build on each other and benefit from spaced repetition. When you hit framework-related cards, it can also help to peek at the official documentation in parallel, so the term sticks alongside a real tool you can experiment with later.