In 2024, the development and implementation of narrowly scoped, highly controllable AI agents gained momentum, with LangGraph emerging as a leading framework for building these systems. Unlike earlier autonomous agent models, LangGraph offers a low-level, transparent approach that appeals to companies seeking more control over their agents' cognitive architectures. Several organizations successfully leveraged LangGraph for various applications, including Unify in account qualification, Komodo Health in healthcare, and AppFolio in property management. Noteworthy examples include LinkedIn's SQL Bot, which enhances data accessibility, Elastic's AI assistant, and Replit's human-in-the-loop and multi-agent system. As these companies shared their insights and experiences through diverse platforms, they contributed to the broader adoption and evolution of AI agents, demonstrating their potential in diverse domains and hinting at further advancements in 2025.