Explainers
Things you can poke at until they make sense.
Interactive explainers on the systems behind modern AI. Drag, toggle, and step through the ideas rather than just reading about them.
01 How agentic work works The whole mental model in one place: the three capabilities, what an agentic workspace actually is, and the building blocks you will hear about, skills, CLIs, and MCP. 02 The 6 Levels of AI Maturity From chatting with GPT to running a team of agents. Most companies are stuck at Level 1 or 2. Walk the ladder and find where you actually are. 03 Git and GitHub A save system for your work, and a time machine. When agents are changing your files, Git is how you stay in control: commit what is good, go back when it is not, and sync across machines. 04 Inside OpenClaw An operating system for agents, not a chatbot. One gateway, many agents, every channel. See how the pieces fit and how a message flows through them. 05 A good agent-native setup Most AI products are UI-first: screens calling a database. Agent-native flips it: model the domain, expose every action as one audited tool layer, and let humans and agents drive the system through the same door. See how the pieces fit.