Abstract

In an era where AI is evolving from a passive tool into an active andadaptive companion, we introduce AI for Service (AI4Service), a new paradigmthat enables proactive and real-time assistance in daily life. Existing AIservices remain largely reactive, responding only to explicit user commands. Weargue that a truly intelligent and helpful assistant should be capable ofanticipating user needs and taking actions proactively when appropriate. Torealize this vision, we propose Alpha-Service, a unified framework thataddresses two fundamental challenges: Know When to intervene by detectingservice opportunities from egocentric video streams, and Know How to provideboth generalized and personalized services. Inspired by the von Neumanncomputer architecture and based on AI glasses, Alpha-Service consists of fivekey components: an Input Unit for perception, a Central Processing Unit fortask scheduling, an Arithmetic Logic Unit for tool utilization, a Memory Unitfor long-term personalization, and an Output Unit for natural humaninteraction. As an initial exploration, we implement Alpha-Service through amulti-agent system deployed on AI glasses. Case studies, including a real-timeBlackjack advisor, a museum tour guide, and a shopping fit assistant,demonstrate its ability to seamlessly perceive the environment, infer userintent, and provide timely and useful assistance without explicit prompts.