# 从设计师的收藏夹到第二大脑：AI如何重构个人知识库 - ID: 78 - URL: https://www.stoyard.com/viewpoint/78 - English URL: https://www.stoyard.com/en/viewpoint/78 - Category: 设计思维 - English Category: Design Thinking - English Title: From Designer's Favorites to Second Brain: How AI Refactor Personal Knowledge Base ## 中文主体 > 当AI开始参与知识整理与调用，设计师的知识库正在从信息仓库演变为能够持续产生洞察的第二大脑。 阅读时间 约 8 分钟 ###  ### ### ### ### 几乎每个设计师都有自己的收藏夹。 ### ### Behance、Pinterest、Dribbble、Awwwards、行业报告、产品体验分析、品牌案例、设计方法论……在职业发展的过程中，我们不断收集灵感、观点与经验，希望在未来的某个项目中再次使用它们。  ### ### 然而现实往往并不如想象中理想。收藏越来越多，真正被重新打开的内容却越来越少。那些曾经让人眼前一亮的案例、值得深入研究的文章以及精心保存的灵感截图，最终沉睡在浏览器书签、网盘文件夹或各种知识管理工具之中。问题并不在于信息不足，而在于我们缺少一种能够让知识持续产生价值的方式。 ### ### 随着AI工具的发展，越来越多设计师开始重新思考知识管理。相比建立一个庞大的资料库，他们更希望拥有一个能够帮助思考、建立连接并持续产生洞察的“第二大脑”。 ### 为什么设计师总在收藏，却很少复用？ 设计工作的本质并不是创造全新的事物，而是在已有知识、经验与灵感之间建立新的连接。 一个优秀的网站设计方案，可能同时受到品牌战略、用户体验、内容架构、视觉设计以及技术实现方式的影响。一个成功的数字产品，也往往来自不同领域知识的融合。因此，设计师天然需要不断学习、不断收集，并持续扩展自己的认知边界。 但传统收藏方式更像仓储系统，而不是思考系统。它能够帮助我们保存内容，却无法帮助我们建立关联。当项目真正开始时，我们知道自己曾经看过某个案例、读过某篇文章，却很难在需要的时候准确找到它。久而久之，大量知识被保存下来，却没有真正进入工作流程。 从这个角度来看，设计师真正的问题从来不是缺少灵感，而是缺少让灵感被重新发现和重新利用的能力。 ### ### 第二大脑为什么正在受到关注？ “第二大脑（Second Brain）”并不是一个新概念。它最初被提出时，核心目标并非建立一个庞大的资料库，而是帮助人们构建一个能够辅助思考的外部认知系统。 过去，人们通过文件夹、标签和分类管理知识。但随着信息规模不断扩大，这种方式开始暴露出明显局限。因为知识并不会按照文件夹的逻辑存在，它更像一张不断扩展的网络，不同主题之间总会产生意想不到的联系。 以 Obsidian 为代表的新一代知识管理工具受到关注，一个重要原因正是它允许用户建立双向链接和知识图谱。当一个网站案例同时关联品牌战略、用户研究与内容设计时，这些原本分散的信息开始形成网络结构。设计师看到的不再是一篇孤立的笔记，而是一张不断成长的认知地图。 真正吸引人的并不是图谱本身，而是它所代表的思考方式。知识开始像神经网络一样建立连接，而新的想法往往诞生于这些连接之中。 ### AI正在改变知识库的角色 过去的知识库更像档案馆。 它负责保存信息，却很难主动产生价值。设计师需要依靠记忆寻找内容，需要花费大量时间重新整理资料，也需要不断重复相同的研究过程。 AI的出现正在改变这一切。 当AI开始进入知识管理体系后，知识库逐渐拥有了“研究员”的能力。它不仅能够理解内容，还能够帮助分析、归纳和建立关联。当一个新的案例被收录时，AI可以自动识别相关主题；当一个新项目启动时，它也能够快速调取过去积累的经验、案例与观点。 对于设计师而言，这意味着知识库的角色正在发生变化。它不再只是存储工具，而开始成为创意工作的协作者。过去需要花费数小时完成的资料整理与检索工作，如今可能在几分钟内完成，而设计师能够将更多精力投入到判断、洞察与创造之中。 ### 未来的设计资产，可能不是作品集 长期以来，作品集一直被视为设计师最重要的职业资产。 它记录过去完成的项目，展示个人能力，也成为职业发展的重要凭证。然而在AI逐渐参与设计工作的背景下，仅仅展示执行能力正在变得不够。 越来越多基础设计任务开始被自动化辅助完成，工具正在降低设计执行层面的门槛。与此同时，洞察能力、判断能力以及跨领域连接能力的重要性却在持续提升。 这些能力并不来自某一个项目，而来自长期积累形成的知识网络。一个设计师能够理解商业、品牌、技术与用户体验之间的关系，本质上依靠的是持续积累的认知体系。未来真正具备竞争力的设计师，拥有的可能不仅是一份作品集，更是一套不断成长、持续进化的个人知识系统。 ### 从信息收集到认知构建 回顾过去十年，我们经历了信息获取效率的大幅提升。从搜索引擎到社交媒体，从内容平台到生成式AI，获取知识变得越来越容易。 但与此同时，另一个问题也变得越来越明显：信息增长速度远远超过了个人处理能力。 在这样的环境下，知识管理的重点正在发生转移。过去关注的是如何收集更多信息，而未来更重要的问题是如何建立自己的认知体系。知识的价值不在于拥有多少内容，而在于这些内容是否能够形成连接，并在需要的时候帮助我们做出更好的判断。 第二大脑之所以受到关注，并不是因为它提供了一种新的工具，而是因为它提供了一种新的工作方式。 ### STOYARD Insight ### 过去十年，设计行业一直在讨论设计系统（Design System），试图让设计资产能够被持续复用和不断扩展。而今天，类似的变化正在发生在知识层面。 ### AI并没有减少信息数量，反而让信息增长速度变得更快。在这样的环境下，设计师真正需要管理的已经不再是文件，而是认知。从收藏夹到第二大脑，看似是一次工具升级，本质上却是一次工作方式的转变。 ### 当知识开始建立连接，并能够在需要的时候被重新发现、重新组合和重新应用时，个人知识库才真正成为创造力的一部分。未来设计师最重要的竞争优势，或许不是掌握了多少工具，而是能否构建属于自己的知识网络，并持续从中产生新的洞察。  Keywords 第二大脑、个人知识库、设计师知识管理、AI知识管理、Obsidian、知识网络、设计工作流、创意工作流、数字体验、AI工具 Category AI趋势 / 设计思考 / 知识管理 / 工作方式 References Building a Second Brain — Tiago Forte Obsidian Official Documentation Personal Knowledge Management Research STOYARD Research & Observations ## English Content > As AI begin to participate in knowledge collation and invocation, the designer's knowledge base is evolving from an information warehouse to a second brain that can continuously generate insights. Reading time: about 8 minutes ###  ### ### ### ### Almost every designer has their own favorites. ### ### Behance, Pinterest, Dribbble, Awwwards, industry reports, product‑experience analyses, brand case studies, design methodologies… Throughout our professional journey, we continuously gather inspiration, insights, and lessons learned, with the hope of putting them to use in future projects.  ### ### However, reality is often far from as ideal as one might imagine. As collections grow ever larger, the amount of content that is truly revisited continues to dwindle. Those cases that once dazzled the eye, the articles worth in-depth study, and the carefully saved inspiration screenshots all end up lying dormant in browser bookmarks, cloud‑storage folders, or various knowledge‑management tools. The problem is not a lack of information, but rather our failure to develop a mechanism that ensures knowledge continuously generates value. ### ### With the advancement of AI tools, more and more designers are beginning to rethink knowledge management. Rather than building a massive knowledge base, they prefer to have a “second brain” that helps them think, make connections, and continuously generate insights. ### Why do designers constantly collect but rarely reuse? The essence of design is not to create entirely new things, but to forge new connections among existing knowledge, experience, and inspiration. An excellent website design solution may be influenced simultaneously by brand strategy, user experience, content architecture, visual design, and technical implementation. A successful digital product often stems from the integration of knowledge across diverse domains. Therefore, designers are inherently called upon to learn continuously, gather insights without cease, and constantly expand the boundaries of their understanding. However, traditional collecting methods resemble warehousing systems rather than thinking systems. It can help us preserve content, but it cannot help us establish connections. When a project actually gets underway, we often recall having come across a particular case or read a specific article, yet struggle to locate it precisely when we need it. Over time, a vast body of knowledge has been accumulated, yet it has not truly been integrated into the workflow. From this perspective, the designer’s real challenge has never been a lack of inspiration, but rather a lack of the ability to rediscover and reinvent that inspiration. ### ### Why is the “second brain” gaining attention? “The ‘Second Brain’ is not a new concept.” When it was first proposed, its primary goal was not to build a massive database, but rather to help people construct an external cognitive system that could support their thinking. In the past, people managed knowledge by using folders, tags, and categorization. However, as the volume of information continues to grow, this approach has begun to reveal its clear limitations. Because knowledge does not exist according to a folder-based structure; rather, it resembles an ever-expanding network, in which unexpected connections inevitably emerge between different topics. The new generation of knowledge management tools, exemplified by Obsidian, has garnered significant attention, largely because they enable users to establish bidirectional links and knowledge graphs. When a website case simultaneously integrates brand strategy, user research, and content design, these previously fragmented pieces of information begin to coalesce into a networked structure. Designers no longer see a single, isolated note, but rather a cognitive map that is constantly evolving. What truly captivates is not the knowledge graph itself, but the mode of thinking it embodies. Knowledge begins to form connections akin to those in a neural network, and new ideas often emerge at the intersections of these links. ### AI is changing the role of knowledge bases In the past, knowledge bases were more like archives. It is responsible for storing information, yet it struggles to generate value on its own. Designers must rely on their memory to locate information, spend considerable time reorganizing materials, and repeatedly reinvoke the same research processes. The emergence of AI is changing all of this. As AI begins to integrate into knowledge management systems, knowledge bases are gradually acquiring the capabilities of “researchers.” It not only understands content but also helps analyze, summarize, and establish connections. When a new case is added, the AI can automatically identify relevant topics; when a new project is launched, it can also quickly retrieve previously accumulated experience, cases, and insights. For designers, this means the role of the knowledge base is undergoing a transformation. It is no longer merely a storage tool; it has begun to serve as a collaborator in creative work. Tasks that once took hours—such as organizing and retrieving data—can now be completed in a matter of minutes, allowing designers to devote more of their time to judgment, insight, and creativity. ### In the future, design assets may no longer be portfolios. For a long time, the portfolio has been regarded as a designer’s most important professional asset. It documents completed projects, showcases individual capabilities, and serves as an important credential for career development. However, as AI increasingly takes part in design work, merely showcasing execution capabilities is no longer sufficient. An increasing number of foundational design tasks are now being automated, and tools are lowering the barrier to entry for design execution. Meanwhile, the importance of insight, judgment, and the ability to connect across disciplines continues to grow. These capabilities do not stem from any single project, but rather from a knowledge network that has been built up over the long term. A designer’s ability to grasp the interplay among business, branding, technology, and user experience ultimately hinges on a continuously evolving cognitive framework. In the future, truly competitive designers will likely possess not just a portfolio, but also a personal knowledge system that continuously grows and evolves. ### From Information Gathering to Cognitive Construction Looking back over the past decade, we have witnessed a significant increase in the efficiency of information acquisition. From search engines to social media, from content platforms to generative AI, acquiring knowledge has become increasingly easy. At the same time, another issue has become increasingly apparent: the pace of information growth far outstrips individual processing capacity. In such an environment, the focus of knowledge management is shifting. In the past, the focus was on how to gather more information; in the future, the more pressing question will be how to build one’s own cognitive framework. The value of knowledge lies not in the sheer volume of content one possesses, but in whether that content can be interconnected and, when needed, help us make better judgments. The “second brain” has garnered attention not because it offers a new tool, but because it introduces a new way of working. ### ### Over the past decade, the design industry has been exploring design systems, aiming to enable the ongoing reuse and continuous scalability of design assets. And today, similar changes are taking place at the level of knowledge. ### AI has not reduced the volume of information; on the contrary, it has accelerated the rate at which information is growing. In such an environment, what designers truly need to manage is no longer documents, but cognition. From a favorites list to a second brain, what appears to be a tool upgrade is, at its core, a shift in how we work. ### Only when knowledge begins to form connections and can be rediscovered, recombined, and reapplied as needed does a personal knowledge base truly become an integral part of creativity. In the future, designers’ most significant competitive advantage may not lie in their mastery of tools, but rather in their ability to build a personal knowledge network and continuously generate new insights from it.  Second Brain, Personal Knowledge Base, Designer Knowledge Management, AI Knowledge Management, Obsidian, Knowledge Network, Design Workflow, Creative Workflow, Digital Experience, AI Tools AI Trends/Design Thinking/Knowledge Management/Ways of Working