Why AI Agents Go Rogue

AI agents face significant challenges when scaling from prototype to production. LLMs with access to many tools often struggle with decision-making and staying on track—models like Kimi K2 can handle hundreds of tool calls but tend to use every available tool indiscriminately. Production deployment requires frameworks to constrain agent behavior, but these solutions demand developer expertise and aren't available out-of-the-box, creating a maturity gap in the agent ecosystem.