Agentic Loops Need Stops, Signals, and Ground Truth

Loops create value only when each pass can learn from something real. Why this pattern works A loop helps on tasks that genuinely need action-feedback cycles. Without feedback from the environment, the system only rephrases itself. What to design explicitly Define the evidence source, the evaluation criteria, the retry limit, and the human fallback before you launch the loop. What to avoid Do not confuse more iterations with better outcomes. If nothing new is being observed, the loop is mostly paying to sound busier.

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