An AI agent attempting to summarize runbook steps can loop due to several factors. Often, ambiguous or contradictory instructions within the runbook itself force the agent to repeatedly re-evaluate the same information without reaching a definitive summary. A common cause is also the absence of clear termination criteria in the agent's internal process, preventing it from recognizing when a summary is complete or sufficient. Furthermore, repetitive or slightly rephrased content can lead the AI to process the same concepts multiple times, while context window limitations might cause it to re-examine previously summarized sections as new information enters its working memory. Another reason could be an agent's failure to properly understand the scope of the summarization task, leading it to endlessly extract excessive detail rather than synthesize. Finally, a loop can stem from overly aggressive or miscalibrated self-correction mechanisms, where the AI continuously tries to "fix" a summary based on flawed internal metrics, even when the output is already adequate. More details: https://www.lutrijasrbije.rs/Culture/ChangeCulture?lang=sr-Cyrl-RS&returnUrl=https://infoguide.com.ua/