When working on digital devices, people often face distractions that can lead to a decline in productivity and efficiency, as well as negative psychological and emotional impacts. To address this challenge, we introduce a novel Artificial Intelligence (AI) assistant that elicits a user's intention, assesses whether ongoing activities are in line with that intention, and provides gentle nudges when deviations occur. The system leverages a large language model to analyze screenshots, application titles, and URLs, issuing notifications when behavior diverges from the stated goal. Its detection accuracy is refined through initial clarification dialogues and continuous user feedback. In a three-week, within-subjects field deployment with 22 participants, we compared our assistant to both a rule-based intent reminder system and a passive baseline that only logged activity. Results indicate that our AI assistant effectively supports users in maintaining focus and aligning their digital behavior with their intentions. Our source code is publicly available at https://intentassistant.github.io

翻译：在数字设备上工作时，人们常面临分心干扰，这可能导致生产力和效率下降，并产生负面心理与情绪影响。为应对这一挑战，我们提出了一种新颖的人工智能助手，它能引导用户阐明意图、评估当前活动是否符合该意图，并在行为偏离时提供温和提醒。该系统利用大语言模型分析屏幕截图、应用程序标题和URL，当检测到行为偏离既定目标时发出通知。其检测精度通过初始澄清对话和持续的用户反馈得以优化。在一项为期三周、涉及22名参与者的受试者内现场部署中，我们将本助手与基于规则的意图提醒系统以及仅记录活动的被动基线进行了对比。结果表明，我们的AI助手能有效帮助用户保持专注，并使数字行为与其意图保持一致。源代码已公开于 https://intentassistant.github.io