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Eating disorder recovery is nonlinear, deeply personal, and often unsupported between sessions or after formal treatment ends. Many individuals in recovery seek ongoing, accessible tools that can help them stay engaged, manage setbacks, and continue building healthier patterns. This workshop introduces a novel solution: a clinically grounded, AI-powered digital companion that transforms evidence-based therapy into personalized, gamified support designed to meet users wherever they are in their recovery journey. The tool integrates cognitive behavioral therapy (CBT), dialectical behavior therapy (DBT), acceptance and commitment therapy (ACT), and unified transdiagnostic principles into micro-interventions-delivered as bite-sized, emotionally resonant 'quests.' These daily tasks are dynamically adapted to a user's unique coping style, emotional patterns, and core challenges. With over a thousand modular activities, the platform supports skill progression through layered, personalized paths that evolve as users demonstrate growth or encounter difficulty. Each user is guided by an AI accountability companion that offers positive reinforcement, reframing, emotion labeling, and values-aligned nudges in real time. The platform has been piloted with 100s of individuals recovering from a range of eating disorders including anorexia nervosa, bulimia nervosa, binge eating disorder, and ARFID. Participants engaged with the tool for a median of 7 minutes per day across four weeks. Preliminary data show an average 23% decrease in EDE-Q scores, with some highly engaged users seeing up to 65% symptom reduction. Patients showed significant improvements in subjective distress (SUDS), emotion labeling, meal structure, and interruption of disordered behavior patterns. Many users reported reaching personal recovery milestones for the first time, including reframing body image beliefs and navigating high-risk scenarios using the app's real-time interventions.
This session will include:
-A walkthrough of the clinical framework, core therapeutic mechanisms, and personalization engine behind the app
-A demonstration of key features, including skill progression and real-time adaptations based on user behavior
-A discussion of pilot data and user-reported outcomes
-An interactive experience where attendees explore several evidence-based tasks from the platform
Attendees will learn how this tool can serve as an adjunct to therapy, a scaffold for those transitioning out of higher levels of care, or a long-term recovery companion for individuals seeking sustained support. Special attention will be given to ethical considerations, diversity of clinical presentation, and how AI can extend the therapeutic alliance outside the traditional treatment room. This workshop is ideal for clinicians, researchers, and treatment center leaders interested in integrating technology into outpatient and post-treatment recovery support. It is also relevant to those exploring digital behavioral health, relapse prevention tools, or innovation in emotion- and behavior-focused care. By blending clinical rigor with user-centered design, this approach offers a scalable, low-burden way to enhance continuity, engagement, and recovery outcomes. By the end of this session, participants will understand how dynamic, personalized micro-interventions can complement existing treatment protocols, and walk away with practical insights into the future of digital recovery care.
