Deep research agents are notoriously fragile in production environments, but this post shows how Temporal and Braintrust together make them resilient using Durable Execution, evaluations, and distributed tracing. Temporal handles retries and state persistence while Braintrust provides evals and observability for the AI components. The combination allows teams to build long-running research agents that can recover from failures and produce verifiable results.