We design AIOps to monitor everything except the human. What if our systems could perceive cognitive load, stress, or focus, and adapt not just their alerts, but their entire interface to support the operator? In this session, I’ll deconstruct KUMA, a real-time neuroadaptive platform that closes the loop between human physiology and generative environments. Using lightweight EEG, quantum-inspired emotion mapping, and adaptive soundscapes, KUMA demonstrates a fundamental shift: from notifying to resonating. We’ll extract three core architectural principles from KUMA: Resonant Feedback, Stateful Translation, and Intentional Modulation and translate them into actionable design guidelines for AIOps. Imagine dashboards that simplify under pressure, alerts that use subtle sonification to convey urgency without anxiety, and systems that learn not only from log files, but from the psychophysical signals of their users. This is not a distant future. It’s an engineering paradigm available today. Join me to explore how building systems that feel can reduce cognitive friction, prevent burnout, and turn operators into empowered partners.