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 October 2025, Product Managers can leverage Google AI Studio’s new Annotate Mode to streamline the UI prototyping process, directly turning visual design tweaks into production-ready code. This capability, introduced by Logan Kilpatrick (@OfficialLoganK), allows PMs to draw changes directly on the interface and then have Gemini apply those edits automatically, saving time and reducing the reliance on back-and-forth communication between design and development teams. Here’s how AI PMs can take advantage of this tool: 1. Open Google AI Studio and select the project you’re working on. Activate the Annotate Mode to begin your session. 2. Directly draw or highlight the UI areas you wish to change. This visual input can include layout adjustments, color corrections, button placements, and other interface modifications. 3. Once the annotations are complete, allow Gemini to process the changes. The tool interprets your sketches and automatically generates the corresponding code modifications, reducing manual error and ensuring consistency. 4. Review the updated code and perform in-app testing to confirm that the changes align with your design intent. If necessary, refine the annotations and iterate until the results meet the desired standards. 5. Share the revised prototype with your design and development teams for additional feedback and further iterations. This end-to-end process not only speeds up UI prototyping but also improves collaboration among cross-functional teams. Early adopters in the AI PM community have reported significant reductions in design-to-code turnaround times—making it easier to iterate on user feedback quickly and efficiently. As detailed case studies are emerging, initial feedback has been very positive regarding the integration of design annotations directly into the development pipeline. This empowers PMs to focus more on strategy and user needs instead of getting bogged down by manual coding issues.
As of October 2025, OpenAI has significantly enhanced collaborative capabilities within ChatGPT through its Shared Projects expansion, now available to Free, Plus, and Pro users. This update is particularly impactful for AI PMs who manage distributed teams or engage in cross-functional projects. The new feature integrates chats, file sharing, and instruction flows into one cohesive workspace, streamlining collaboration and reducing the friction of using multiple tools across the product development lifecycle. Here’s how AI PMs can effectively utilize this update: 1. Log in to ChatGPT and navigate to the Shared Projects section. Create a new project workspace or select an existing one tailored to your product initiatives. 2. Invite team members to join the shared workspace regardless of their subscription tier. This allows for a unified platform where everyone from design, engineering, and QA can contribute. 3. Organize discussions by creating distinct channels or threads within the workspace for specific product features or project stages. Attach relevant files, documents, and code snippets, ensuring all information is centralized. 4. Utilize the integrated instruction feature to draft and share detailed product requirements, user feedback summaries, or even automated update notes in real time. 5. Monitor ongoing collaboration through built-in status indicators and feedback loops, ensuring agile responsiveness and rapid iterative improvements. This unified approach helps eliminate siloed communications and fosters a more agile environment for AI product management. Early implementation reports in 2025 suggest that teams using Shared Projects have experienced smoother workflows and reduced meeting times, with decision-making processes being accelerated via direct, real-time communication. As detailed examples accumulate, AI PMs are finding that this tool reduces the friction inherent in multi-platform coordination, making it a must-have for modern collaborative product management.