@Theo Boomsma thanks for sharing ! Also we should think in loops within constrains ... this video helped me: https://www.youtube.com/watch?v=7clJ8IH784Q&t=1158s I appreciate Ras Mic honesty and solution here... Key Points - A loop fires once from a human, then the agent generates, reviews its own result, and feeds it back to keep building. - Human-in-the-loop keeps you directing, governing, and approving each step while the agent builds. - Wide-open loops make heavy assumptions and burn serious tokens; Michael cites Peter's tweet about $1.3 million worth of tokens in one month. - Reserve slash goal and similar loops for the $200/month plan, since the $20 and $100 tiers burn through fast. - Loops shine in confined, fixed-feedback work: code review, SEO pages, and other binary tasks. - Mic’s daily win is a closed code-review loop with Cursor, GitHub, and Greptile that chases a 5/5 score.