An AI agent drafting contracts can enter a loop primarily due to ambiguous or conflicting input instructions, where the system struggles to find a definitive path forward. This often combines with a lack of clear termination criteria, preventing the AI from recognizing when a draft is complete or meets all implicit requirements. Another significant factor is cyclical self-correction; if the AI's internal validation repeatedly flags its own output as incomplete or incorrect in a way that leads back to a previous state, it gets stuck in an iterative loop. Furthermore, the inherent complexity of legal language and interdependencies within contract clauses can overwhelm the model, causing it to endlessly attempt to satisfy conflicting constraints. Lastly, insufficient contextual understanding of specific legal nuances or limitations in the AI's underlying architecture for long-context generation might prevent convergence, trapping the agent in a repetitive drafting cycle. More details: https://www.gayballero.com/tp/out.php?fc=1&p=60&url=https://infoguide.com.ua/