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OpenClaw AI Agent 实战训练营课程
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养细胞不如养龙虾!OpenClaw让科研进入AI智能体时代,龙虾成为最强科研助手
生物世界· 2026-03-13 03:33
Core Viewpoint - The article emphasizes the transformative potential of AI Agents in research workflows, moving from simple question-answering to fully delegating tasks to AI, thereby enhancing research efficiency and productivity [1]. Course Features - The course focuses on teaching participants how to enable AI to perform tasks rather than just asking questions, allowing AI to engage in critical research processes [2]. - It is designed around real research scenarios, covering common and time-consuming tasks such as literature retrieval, data analysis, and paper writing, enabling immediate application in participants' research [3]. - Utilizing OpenClaw as a practical tool, the course aims to provide a comprehensive understanding of AI Agents and how to build personalized research workflows [4]. - The course promotes a workflow mindset, encouraging participants to break down tasks into manageable parts, automate processes, and create reusable personal research systems [5]. - It aims not only to improve efficiency but also to reshape competitive advantages in research by equipping participants with advanced AI skills [6]. - The course is structured to be accessible for beginners while also providing deeper insights for those with prior knowledge, ensuring all participants can effectively learn and apply the content [7]. Course Schedule and Content - The course will take place from April 3 to April 5, with multiple sessions available for those who miss the initial live class [9]. - The curriculum includes practical sessions on OpenClaw installation, integration with various models, automation of repetitive tasks, and assistance in writing and data analysis [10][11][12][13][14]. Course Outcomes - Participants will progress from merely using AI to effectively employing AI Agents in research execution [24]. - The course aims to transform frequent research tasks into reusable intelligent workflows, reducing the need to start from scratch each time [24]. - It seeks to significantly decrease repetitive labor, allowing researchers to focus on critical thinking and innovation [24]. - Participants will gain early access to next-generation research efficiency tools, establishing a competitive edge in their field [24].