An AI agent can loop when extracting product requirements due to several factors. Primarily, ambiguous or vague source documentation often lacks clear stopping criteria, leading the AI to continuously re-evaluate or seek clarification for poorly defined specifications. Conflicting information across multiple sources can also cause a loop, as the agent attempts to reconcile contradictory details without a clear resolution mechanism. Furthermore, a lack of a well-defined termination condition in the AI's extraction logic means it might never determine when enough relevant data has been collected. The agent might also enter a loop if it engages in recursive inquiry for implicit requirements, constantly generating new questions based on partial answers without progressing towards a conclusive output. Finally, limited contextual understanding can prevent the AI from discerning the relative importance of requirements, leading it to endlessly process minor details or irrelevant information.