The elusive nature of laboratory quality, likening it to a mythical unicorn. It emphasizes the relative nature of quality and the need to tailor indicators to specific lab contexts. Highlighting the role of Laboratory Information Management Systems (LIMS), it discusses how LIMS can help identify and address errors, ultimately optimizing quality management. The article concludes with steps for customizing LIMS to enhance quality, emphasizing the importance of active involvement, setting criteria, and implementing trigger warnings for error detection.