https://video.ut0pia.org/videos/watch/b1b0e8de-7b34-4d06-9908-cca959a8cb76 Dumb loops beat clever workflows. Most teams building with AI agents reach for multi-agent orchestration, planning graphs, and elaborate tool chains. Then they spend months debugging them. A single loop that processes one ticket at a time, evaluates its own output, and improves on the next run will outperform all of it. In this hands-on workshop you will build three things. First, a working Ralph Loop that processes real tickets end-to-end. Second, a synthetic feedback loop so you can test and iterate locally without waiting on production data. Third, a self-improving cycle where the loop's output quality gets better with every run without you touching the prompt. Speaker info: https://x.com/chrismdp, https://www.linkedin.com/in/chrisparsons/, https://github.com/chrismdp Tue, 05 May 2026 12:24:42 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/b1b0e8de-7b34-4d06-9908-cca959a8cb76 All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.