The term "AI native" has evolved, especially with tools like Claude Code changing the landscape of software as a service (SaaS). Initially, it meant adding chat functionality to existing products, but now it signifies a deeper integration of AI into product design and development. The author argues that to succeed in this new environment, startups should prioritize building API-first products that agents can easily integrate with. By 2030, products lacking such APIs will struggle to survive. An example highlighted is Commenda, which transformed its entire platform into an API for tax management. Jeff Bezos's 2002 API Mandate set the stage for this shift. It emphasized that teams should design their tools with external developers in mind, fostering better product quality and documentation. Today, the focus has shifted from human developers to AI agents. When evaluating services, these agents rely heavily on API documentation rather than user interfaces. Poorly designed APIs can lead to lost customers since agents cannot engage with sales teams. The new standard demands clear error messages, consistent patterns, and straightforward pricing. As AI agents become more prevalent, the dynamics of switching services have changed dramatically. Agents can replace one service with another almost instantaneously, reducing the high switching costs that previously locked customers into specific platforms. Companies must now prioritize API quality, data depth, and technical integrations. The interaction volume will increase significantly, as agents will make thousands of API calls daily compared to a human developer's hundreds. For founders developing SaaS products, the approach must adapt to these realities. Start with the API, test it with AI agents, and ensure that all elements are designed for easy integration without human input. Analytics should differentiate between human and agent interactions, and pricing should shift from per-user models to usage-based models. The focus is now on making systems accessible and effective for AI agents, which will define success in the coming years.