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 local ...