AI prototyping is transforming how product teams operate, making it easier and faster to create highly interactive prototypes. The article features insights from Sachin Rekhi, a notable figure in product management, who emphasizes that traditional prototyping methods are becoming outdated. Instead of lengthy specifications and static mockups, teams can now use AI tools to generate prototypes that incorporate real-world data and functionality. This shift means that almost anyone on a product team can create meaningful prototypes without needing extensive design training. The piece outlines the advantages of a prototype-driven approach, which many successful companies like Apple and Stripe have adopted. These companies prioritize potential solutions through rapid prototyping, allowing teams to assess the best problem-solution pairs before committing resources to development. AI prototyping simplifies this process, reducing costs and enabling teams to iterate quickly without the financial burden of maintaining traditional prototyping labs. As a result, this new method is gaining traction, with organizations like Anthropic already implementing prototype-driven decision-making. The article also categorizes various AI prototyping tools into three main groups: AI app builders, AI prototyping tools, and AI coding tools. This classification helps teams navigate the growing market of tools available for AI prototyping, making it easier to select the right option based on their specific needs. The landscape is crowded, but understanding the categories can streamline the selection process for product teams looking to harness the power of AI in their development workflows.