TENCENT(HK:00700) Founder Park·2025-05-20 04:44Core Viewpoint - The article discusses the launch and development of Tencent's AI product, ima, which focuses on knowledge management and aims to help users efficiently manage and utilize their knowledge base, addressing the common anxiety of fleeting information retention [3][4]. Group 1: Product Definition and Development - ima is positioned as an efficiency tool based on AI capabilities, serving as a "search, read, write" workstation to help users retain valuable information and enhance office and learning efficiency [7]. - The product development began in late 2023, with a focus on addressing the challenges of information fragmentation in the PC environment, where users often struggle to retain information due to the dispersed nature of applications [8][10]. - The team aimed to create a user-friendly tool that simplifies information retention and connection, similar to the excitement brought by WeChat in enhancing communication efficiency [9]. Group 2: Knowledge Base and User Applications - The concept of the "knowledge base" in ima is derived from RAG technology, allowing users to edit, add, and manage their knowledge base, which enhances the efficiency and accuracy of generated content [12]. - Users have found innovative applications for the knowledge base, such as a liquor merchant who streamlined pricing inquiries by creating a knowledge base for product prices, significantly improving business efficiency [13]. - The product has also been adopted by professionals like lawyers, who use it to organize case materials and enhance their workflow, demonstrating the tool's versatility across different fields [14][15]. Group 3: Expansion and Community Engagement - ima has introduced features like "shared knowledge bases" and "knowledge squares" to facilitate knowledge sharing among users, responding to feedback that users wanted to share their knowledge bases with others [21]. - The "knowledge number" feature allows users to establish a creator identity, akin to a publisher, where they can curate and share valuable information, fostering a community of knowledge sharing [22][23]. - The product team actively engages with users through feedback channels and community groups, allowing for rapid iteration and enhancement of features based on user suggestions [26][27]. Group 4: Challenges and Future Directions - The development of ima faced challenges, including defining the product and prioritizing features amidst high user expectations for AI capabilities [24]. - The integration of DeepSeek has significantly improved the product's performance, allowing for faster feature deployment and enhancing user experience [25]. - The team emphasizes a classical approach to product management, focusing on direct user feedback and iterative improvements, which remains effective in the rapidly evolving AI landscape [33].