The Hindu BusinessLine published a July 5, 2026 explainer on AI loops, describing autonomous-agent workflows that plan, check, and repeat work after an initial prompt. The piece frames loops as the execution layer behind agentic systems: an AI system or another agent keeps prompting, validating, and refining toward a goal instead of waiting for a human to type every next step. For practitioners, the useful point is not that prompting disappears, but that repeatable work needs stop conditions, objective checks, state management, observability, and cost controls before a loop can be trusted in production.
