AI-curated insights from 1000+ daily updates, delivered as an audio briefing of new capabilities, real-world cases, and product tools that matter.
Stay ahead with AI-curated insights from 1000+ daily and weekly updates, delivered as a 7-minute briefing of new capabilities, real-world cases, and product tools that matter.
Join The GenAI PMDive deeper into the topics covered in today's brief with these AI PM insights.
As of 2025-10-09, Google AI Studio has introduced a voice-driven coding feature that enables PMs to convert spoken instructions directly into code, using the new 'yap-to-app' paradigm. This feature can help streamline development cycles, reduce manual coding, and accelerate early prototyping. Here’s how to get started: 1. Access Google AI Studio and ensure the voice input feature is activated in your settings. 2. Use clear, concise commands to instruct the system on specific coding tasks, such as creating modules or defining API endpoints. 3. Review the generated code output to ensure it aligns with the intended functionality, and iterate by tweaking your voice prompts as needed. 4. Integrate the output with your codebase and use continuous testing to validate the implementation. Early implementation reports suggest that such voice-driven coding can significantly reduce the time spent on initial coding drafts, allowing teams to focus more on refining product features. While specific case studies are still emerging, the ability to directly translate spoken ideas into code provides a practical boost in agile environments by easing the hand-off between ideation and execution.
As of 2025-10-09, Google NotebookLM powered by Gemini offers AI PMs a novel way to transform YouTube content into structured educational curriculums. This tool is particularly useful for assembling learning materials quickly without manual effort. Follow these steps to use NotebookLM effectively: 1. Gather a list of high-quality YouTube URLs relevant to the learning topic, such as sessions on OpenAI's new Agent Builder. 2. In NotebookLM, use a prompt like ‘write a course outline for learning OpenAI’s new Agent Builder under 5,000 characters’ to generate a detailed curriculum structure. 3. Refine the output by editing the generated ‘Video overview’ prompt to tailor the educational content to your audience’s specific needs. 4. Use the resulting scripted curriculum as the backbone for creating an educational video or onboarding module, ensuring it fits into your overall training strategy. This process typically delivers a focused educational script in around 10 minutes, making it an efficient solution for rapid content creation. Early implementation reports suggest that PMs are finding this approach useful for streamlining the creation of training materials, though specific case studies are still emerging as the tool gains wider adoption.