Evals-Driven Development for a Mental Health AI Coach — Akele Reed & Dave Revere, SonderMind

Industry Background & Market Demand - Sondermind has served over 1,000,000 (one million) individuals across the country [2] - According to a survey by the American Psychological Association, 77% (seventy-seven percent) of psychologists reported that their patients use AI for mental health support [5] - Mental health support remains among the top use cases for AI, with users frequently seeking help for loneliness, depression, and anxiety [3][39] Product Innovation & Technical Architecture - Sondermind developed Sonder, a clinically grounded AI coach purpose-built for mental health, providing 24/7 conversational and voice support [3][5][6] - The company engineered a modular guardrail system featuring separate input and output LLM-as-a-judge calls to ensure clinical safety and reduce over-calibration [7][8][10] - The system incorporates analytics, alerting platforms, memory personalization, and closed-loop clinician annotations to maintain high accuracy and safety standards [12][26][27] Open Source & Community Contribution - Sondermind open-sourced its mental health datasets, providing 200 (two hundred) input guardrail scenarios and 100 (one hundred) output guardrail scenarios reviewed and calibrated by clinical experts [37][38]