Analyzing traffic on the monitoring line to identify error points in the AI agent.
three.dev is a tool designed to help identify and troubleshoot issues in already deployed AI systems. It integrates with your production environment, evaluates each actual conversation, automatically identifies problematic responses, and provides supporting evidence for these issues.
Scattered issues are categorized under “failure patterns.” For example, if a customer service bot states that the refund deadline is 14 days while the actual policy specifies 30 days, the system will count how many times such errors occur across thousands of requests, helping you identify the most critical problems first. The repair process can be directly entrusted to programming agents. After the repairs are completed, data from the week before and after the changes are implemented is compared to determine whether the errors have truly decreased or if new issues have emerged.
This solution is ideal for AI product teams specializing in customer service or sales assistance that already possess a certain level of traffic. There is a free trial option available, and teams that register before the end of November will also receive a six-month Starter package.