Gamma highlights need for end-to-end AI reliability

The author argues that building AI products requires moving beyond initial model capabilities to ensure end-to-end reliability through context, tools, verification, and recovery. Examining companies like Gamma, Lovable, and Jasper, the piece highlights how early leads can erode as foundation models improve and competitors gain access to the same technology. Ultimately, startups must evolve their product offerings to solve the complex workflows that remain after a model makes the first task easy. Open article →