Loop is an AI assistant integrated into Braintrust, designed to streamline the process of identifying and resolving production issues in AI development. It enables users to ask questions in plain English and provides actionable insights by surfacing patterns and recommendations, generating realistic test cases, and creating custom charts based on production data. Loop simplifies complex queries through semantic searches and offers features like generating BTQL queries, bootstrapping scorers, and compiling datasets from logs for regression testing. It supports cross-functional teams, allowing product managers to analyze production behavior and engineers to debug issues efficiently. Loop's error handling and retry logic ensure a 99.97% success rate in model calls, and its most popular model, gpt-5-nano, accounts for a significant portion of its usage. Loop is widely used across Braintrust's interface, including Logs, Datasets, and Experiments pages, and is particularly effective at querying, analyzing, and taking action on production data.