Key design points for implementing an eval gate include: setting a tolerance for each metric rather than requiring it never to drop; distinguishing hard metrics (safety, compliance, tool-call legality) from soft metrics (tone, conciseness); tiering evaluation costs so a small dataset runs on every PR and the full dataset runs before merge or overnight; and writing the scores, judge version, and dataset version of each run into the experiment record.