· Amit Kothari
· AI Workflows and Operations
When AI agents loop forever, the process didn't have an exit
When you ask an AI agent to loop over a list and manage its own progress, it misses items, retests things it already finished, and burns ten minutes on a three-minute job. The model can't reliably track state across a long loop. A deterministic process can, which is why the loop belongs to the harness.