To the Editor In JAMA Psychiatry, Castro and colleagues reported that ambient artificial intelligence (AI) scribe use during primary care visits was associated with higher large language model (LLM)–estimated Research Domain Criteria (RDoC) symptom documentation across all 6 domains yet lower odds of a documented psychiatric intervention (depression-related International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code, antidepressant prescription, or behavioral health referral). The study advances evaluation beyond clinician time and satisfaction to clinical content. A key implication, however, is that the symptom end point is text native, meaning it is inferred from note narratives that the ambient system helps generate.