Who Listens to the Device that Listens? Automated Clinical Supervision in Psychoanalytic AI

This essay presents a three-layer architecture for the automated clinical supervision of psychoanalytically oriented AI systems, and proposes that supervision can be formalised as a continuous cycle that accumulates clinical knowledge without fine-tuning. The first layer is a supervision memory, an editable JSON file that transmits clinical knowledge through the prompt. The second is a supervisor agent that operates in après-coup between sessions, producing structured reports. The third is a pre-response reviewer that intercepts the response before it reaches the subject. The cycle is illustrated with development testing across a set of self-generated sessions, and the essay argues that supervision without an analyst is not supervision: it is quality control. It proposes four notions: supervision as transmission through the prompt, automated après-coup, a cumulative supervision memory, and a distinction between three regimes of supervision, retrospective, operational, and alarm, offered as a contribution to the theory of digital supervision.