Stop Prompting, Start Loop Engineering: Build Self-Iterating AI Agent SystemsThe script explains why “loop engineering” is replacing manual prompting: instead of iterating with an AI yourself, you define what “done” looks like, let an agent act, and use an independent judge model to verify results and repeat until the goal is met. It cites industry figures and examples (including Anthropic and NVIDIA’s GTC keynote) to argue that better loops, not better prompts, will power future self-iterating agent systems. The speaker describes a doer/judge loop structure and shows four implementations inside an “agent operating system”: a Fusion loop with configurable rounds and separate builder/judge models, an agent Kanban board with planner/builder/reviewer roles, a Fusion “boardroom” combining multiple model outputs via a judge, and a Sakana/Fugu council approach. It also describes an Obsidian-based memory system and promotes the AI Profit Boardroom community and resources.00:00 Why Loops Beat Prompts00:48 What Loop Engineering Means03:39 Prompting vs Looping04:44 Doer and Judge Framework05:37 Fusion Loop Walkthrough06:26 Agent Kanban Loops07:21 Fusion Boardroom Method08:31 Sakana Fugu Council09:05 Agent OS Bundle Overview10:01 Memory Feedback Loop11:26 Getting Started and Proof12:01 Join the Community12:35 Final Wrap Up
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