Knowing When to Stop: The Art of Making a Loop Converge

The article argues that “done” is a judgment based on external signals rather than an intrinsic property, and that effective AI loops require reliable verifiers at each step. It shows how coding loops succeed because code is editable and testable, while weak verification can cause loops to converge on incorrect solutions.