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The blog post titled 15 lessons learned building ChatGPT Apps details how creating AI-first interfaces requires a fundamental departure from traditional web development due to the complex three body problem involving the user, the interface, and the model. The authors identify context asymmetry as a core challenge, advocating for intentional data flow where developers explicitly differentiate between the structured data sent to the model and the rich visual details reserved for the widget. Contrary to standard web practices like lazy-loading, the text suggests front-loading data to reduce latency and employing declarative attributes to ensure the model remains aware of UI state changes. Additionally, the guide emphasizes the importance of adapting interfaces to various display modes, utilizing natural language rather than traditional filters, and strictly managing Content Security Policies. To facilitate this shift, the authors released the Skybridge framework and a Codex Skill, which operationalize these insights through React abstractions and improved tooling like hot reloading to help developers build efficient, native ChatGPT applications. https://developers.openai.com/blog/15...