This 1 hour workshop on context engineering will help you build agents that hold long conversations and cut your token cost by up to 90%. Last month we gave it live at the AI Engineer World's Fair 2026 in SF. Now it is free on their YouTube channel. And everything is open-source. Context engineering is deciding what your model sees every time you call it. What stays in the context window, what gets dropped, and when. Get it wrong and your agent forgets things, answers slower, and costs more with every message. My colleagues @omar_solano1, @samridhivaid and I from @towards_AI taught all of it using our AI Tutor App, the product our students ask questions in while going through our courses. Here is what we covered inside the workshop: → 11 ways to manage chat history, and which one won → Why summarizing the conversation often costs more than keeping all of it → How prompt caching cuts around 90% of your token cost → How we cut our bill by moving to a cheaper model → What broke when we tried running it on a laptop This is a complete masterclass on context engineering and after watching it you will know how to handle it in your own agent. Thanks @swyx and the @aiDotEngineer team for having us (once again) 🙏 Workshop video: