What an event-driven agent pipeline looks like when you trace it end-to-end

In an earlier post I argued that event-driven agents reduce scope, cost, and decision dispersion because they narrow the decision space before the model starts reasoning. This article is the empirical follow-up to that idea. It does not try to re-argue the thesis. It tries to show what it looks like when the architecture is wired end-to-end, running on a real case and instrumented enough that the behavior of the system can be observed instead of inferred after the fact. The point here is not jus