Core Insights - The article highlights the innovative approach of Zevi Arnovitz, a product manager at Meta, who successfully developed a profitable AI tool called StudyMate without prior coding experience, by leveraging AI as a collaborative team rather than just a tool [1][2][3]. Group 1: Initial Steps - Zevi's first step was to establish a dedicated dialogue with an AI, assigning it the role of CTO, which allowed for a collaborative environment where the AI could challenge his ideas and provide technical insights [5][6][11]. - The focus for non-technical individuals is on learning to collaborate with AI, emphasizing communication skills over technical knowledge [7][8][12]. Group 2: Building an AI Team - After establishing a dialogue, Zevi expanded from using a single AI to creating a team of AIs, each with specific roles and responsibilities, allowing for a more efficient development process [13][14][19]. - This division of labor among AIs was crucial, as each model had its strengths and weaknesses, enabling them to focus on their areas of expertise [15][16][18]. Group 3: Product Development Process - The development of StudyMate involved a structured process from idea generation to product launch, including defining tasks, analyzing technical risks, and conducting thorough testing [22][24][26][29]. - Zevi emphasized the importance of iterative feedback and documentation throughout the development cycle, allowing for continuous improvement and learning [30][31][32]. Group 4: Replicable Workflow - Zevi's approach resulted in a standardized workflow that can be replicated by others, consisting of clear steps for engaging with AI, executing tasks, and reviewing outcomes [35][36][38]. - The workflow encourages a systematic method for transforming ideas into actionable tasks, ensuring that each stage of development is documented and can be refined over time [41][42].
这套可复制的 AI 工作流，让非技术 PM 从 0 到 1 做出产品
3 6 Ke·2026-01-20 02:52