What's in the video

• What Loop Engineering actually means: building an agentic system that retries toward a definable goal
• Failure #1 - runaway loops: you need a hard stop rule because tokens cost real $$$.
• Failure #2 - unverified autonomy: why letting an agent grade its own work is like asking a kindergartner to grade its own homework, and why you want agent A checking agent B's work instead
• Failure #3 - vague or uncheckable goals: why "make this better" breaks an LLM, and how to write criteria that are actually non-negotiable
• Failure #4- complexity overflow: when a single loop chokes on a big task, and why that's the moment to move from Loop Engineering to Graph Engineering