An eval platform provides the technical infrastructure to run evaluations at scale and track the results over time — storing test cases, running them against models, recording scores, and enabling comparison across versions. Tools like LangSmith, Braintrust, and Promptfoo offer various combinations of this functionality. Without a dedicated eval platform, teams typically cobble together scripts and spreadsheets that are hard to maintain, difficult to share, and unable to track trends over time. For behavior architects, adopting or building an eval platform is an enabling investment: it makes evaluation something that can run automatically on a schedule rather than manually when someone remembers to do it, which is what makes continuous quality monitoring practical.