为什么在AI 时代，我们要把产品经理的“收藏夹”重做一遍？

Core Insights - The article discusses the development of a knowledge base for product managers, leveraging AI to enhance content accessibility and usability [3][5][37] - The knowledge base aims to consolidate valuable insights from various sources, making it easier for product managers to access and utilize information in their workflows [4][15][37] Group 1: Knowledge Base Features - The knowledge base categorizes content into four main areas: tools for the entire product workflow, essential peripheral skills, cutting-edge industry reports, and practical application scenarios [8][10][13] - It includes templates for essential documents like project summaries, BRD/MRD/PRD, and research reports, making it user-friendly for newcomers [8] - The platform also offers insights into marketing, operations, growth, and user insights, providing a broader perspective for product managers [10][11] Group 2: AI Integration - The integration of AI capabilities allows users to query the knowledge base directly, generating structured design proposals and reports based on user input [18][26] - The AI-driven task mode can autonomously break down complex tasks and utilize various tools to produce comprehensive reports, enhancing efficiency [22][26] - Users can interact with the AI in a conversational manner, making the process of generating content more intuitive and collaborative [24][26] Group 3: Enhanced Learning and Accessibility - The knowledge base transforms traditional reading of industry reports by offering features like intelligent summarization and mind mapping, making information consumption more efficient [28][30] - Users can listen to reports in a more engaging format, allowing for learning during various activities, thus increasing accessibility [32][35] - The platform fosters a knowledge network that connects different fields, enabling product managers to gather diverse insights for market research [37] Group 4: Workflow Transformation - The knowledge base shifts the paradigm from static content storage to dynamic knowledge application, allowing for real-time extraction and restructuring of information [37][38] - This transformation enables product managers to leverage accumulated knowledge effectively, enhancing decision-making and project execution [37][38] - The ultimate goal is to create a "second brain" for product managers, where knowledge is not just stored but actively utilized in their work [38]