Hex Technologies has enhanced its Notebook Agent by utilizing error clustering to better understand and address the agent's reasoning processes, rather than just its errors. Initially relying on feedback and internal testing, the team realized the need for a more structured analysis as the agent's adoption grew. By clustering similar errors and using natural language labels, they identified key areas for improvement, particularly in handling Python and SQL errors, cell timeouts, and vague error messages. These insights led to refinements such as improving the agent’s comprehension of Hex tools and altering its response to cell timeouts, thereby enhancing its ability to recover from errors gracefully. This approach not only optimized the agent's performance but also facilitated the creation of an internal tool that continuously updates with new data, helping engineers prioritize future enhancements. The development process itself was aided by the Notebook Agent, which wrote queries and analysis code, demonstrating the tool's capability in real-world applications.