Core Insights - The article highlights the shift in AI applications from merely answering questions to executing tasks effectively, with a focus on desktop agents that can manage multiple applications and perform real-world tasks seamlessly [21][23]. Group 1: Desktop Agent Applications - The emergence of desktop agents signifies a transition in AI capabilities, moving from being assistants in dialogue boxes to executing tasks directly on the desktop [21]. - Notable applications include "阶跃 AI 桌面伙伴," which integrates local tools and offers features like screenshot queries and task scheduling [7]. - "WorkAny" is an open-source desktop AI that can execute scripts in a secure environment, facilitating file management and document generation [9]. Group 2: Learning and Knowledge Management - "智谱清言 AI 学习搭子" focuses on transforming educational materials into knowledge maps and cards, promoting a companion-style learning experience [11]. - "Thetawave AI" supports multi-source content transcription and generates structured notes, suitable for students and knowledge workers [13]. Group 3: Content and Video Creation - "道影 AI" is a comprehensive video production platform designed for content creators, emphasizing integrated processes from script to final product [12]. - "Notebook LM" by Google aids in research by summarizing and organizing user-uploaded materials, enhancing understanding and interaction [13]. Group 4: Development and Programming Collaboration - "OpenCode" is an AI programming tool designed for Vibe Coding, integrating chat, code editing, and terminal functionalities in one interface, making it user-friendly for beginners [15]. Group 5: Trends and Future Directions - The current trend indicates a movement towards sustainable productivity tools that emphasize structured understanding and complete workflows rather than isolated generation [21][23]. - Applications that can embed themselves into user workflows and handle continuous, verifiable tasks are likely to succeed in the evolving AI landscape [23].