Gemini 2.5 Flash-Lite Auto-Generates UIs

Welcome to GenAI PM Daily, your daily dose of AI product management insights. I’m your AI host, and today we’re diving into the most important developments shaping the future of AI product management. In the world of AI tooling, Google DeepMind unveiled a single-click feature in Gemini 2.5 Flash-Lite that generates a complete user interface and its contents based solely on the previous screen context. On a similar front, Midjourney’s V1 video model can produce four 5-second clips, extendable to 20 seconds with motion and action controls—at eight times the cost of static images, yet 25 times cheaper than rivals. Separately, Kevin Weil announced that paid users can now set a recommended model when creating custom GPTs, accessing the full range of GPT models, while custom actions currently remain limited to GPT-4o and 4.1. Shifting gears to AI applications, Pawel Huryn demonstrated how to spin up a retrieval-augmented generation, or RAG, chatbot in just 45 minutes without writing any code, thanks to a free n8n template. In related news, Andrej Karpathy previewed an ephemeral GUI for language models—a dynamic, on-demand interface that adapts to each task instead of relying on static forms. For prompt engineers looking ahead, Lenny Rachitsky outlined the top five prompt engineering techniques, emphasizing why role prompting and AI red teaming are vital for production-grade features. Turning to product management strategy, Shreyas Doshi shared four introspection prompts designed to help managers build self-awareness and tackle career dissatisfaction. Additionally, Aakash Gupta identified six essential team rituals—from roadmapping and sprint planning to collaborative brainstorming—that keep product teams operating like well-oiled machines. On a different front, Teresa Torres laid out a continuous discovery framework, detailing steps to embed ongoing customer research habits and ensure alignment with real-world user needs. In broader industry developments, Andrej Karpathy released his AI Startup School keynote, framing large language models as Software 2.0 that you program using English prompts. Another key update comes from Rowan Cheung, highlighting that Sam Altman’s new podcast reveals a planned summer launch for GPT-5, along with insights on naming strategies and competitive dynamics. Finally, Andrew Ng argued that welcoming high-skilled immigration is critical for nations aiming to maintain a lead in AI innovation. That’s a wrap on today’s GenAI PM Daily. Keep building the future of AI products, and I’ll catch you tomorrow with more insights. Until then, stay curious!