AI product development presents unique challenges compared to traditional software development, primarily due to difficulties in measuring the impact of changes, leading teams to rely on intuition rather than data-driven decisions. Braintrust addresses these challenges by integrating evaluation directly into the AI development loop, allowing for systematic and measurable improvements. By transforming production traces into test cases and using automated scoring, teams can quickly assess the impact of changes, resulting in significant improvements in development velocity, as demonstrated by Notion's AI team. The platform provides a cohesive environment where both technical and non-technical team members can collaborate seamlessly, enabling product managers to participate actively in the development process. Braintrust's model-agnostic approach and integration with CI/CD pipelines ensure flexibility and efficiency, facilitating rapid iteration and deployment of AI products.