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.
First up, OpenAI has launched OpenAI for Healthcare, a HIPAA-ready solution now live at AdventHealth, Baylor Scott & White, UCSF, Cedars-Sinai and more. This offering aims to deliver consistent, high-quality patient care by integrating secure, compliant AI across clinical workflows.
In related news, Google’s Gemini is extending its reach into Gmail. Google’s AI lead Jeff Dean confirmed that a range of new Gemini integrations will streamline email drafting, summarization and follow-up tasks for busy teams. Meanwhile, Google AI has rolled out a Release Notes episode with Robby Stein and Rhiannon Bell, showcasing how Gemini 3 is now embedded directly into Google Search to offer conversational answers and context-aware suggestions.
Switching to developer tools, Phil Schmid introduced mcp-cli, an open-source command-line interface for dynamically discovering Model Context Protocol servers. Early tests show a 99 percent drop in MCP token usage and smoother interactions between AI agents and external tools. Similarly, Llama Index unveiled an intelligent resume processing agent that automatically extracts structured data from lengthy, repetitive documents, tackling parsing challenges that have long held back HR and recruiting workflows.
On the product management front, George from prodmgmt.world laid out a roadmap presentation framework that shifts the focus onto market context, an honest assessment of today’s product state, a clear vision of tomorrow, a robust Q&A structure and pre-presentation support for PMs. In addition, Peter Yang outlined five truth-seeking principles—embrace humility, ban decision-by-committee, foster constructive dissent, assume good intent and accept being wrong—that help teams iterate rapidly and stay user-centered. Claire Vo adds that designing AI-first platforms now demands an agent-native mindset, with primitives like agents, files, tools, actions and composability at the core of every architecture.
Another key development: Jan Werner argues that product managers should master Claude Code, and he’s sharing a free interactive tutorial at ccforpms.com. In just three hours and at zero cost, PMs can learn to review logic, analyze pull requests and ship small features inside Claude Code. Claire Vo also launched a browsable index of over 40 episodes and 100 AI workflows from her How I AI series on the ChatPRD blog. Built with Claude Code, Vercel AI Gateway and Gemini 3 Pro, it offers a hands-on library of real-world AI use cases for any product team.
In the broader industry, Demis Hassabis teased a partnership that combines Boston Dynamics’ Atlas robots with Gemini Robotics models, opening new possibilities in physical AI applications. NVIDIA’s Jensen Huang emphasized that open models accelerate innovation across industries, startups, research and academia. Meanwhile, Dharmesh Shah highlighted the emerging concept of the Context Graph, which promises to unify user and system context across data silos, while cautioning PMs to balance excitement against practical, business-ready implementations.
On the video front, a recent recap from All About AI detailed Chris’s Week 1 progress in building an AI-native microbusiness. Using Cloud Code, he published 13 shorts across four channels—garnering 1.3 million views—and tracked performance with a custom sync tool. He also created a plug-and-play web template featuring Google and Superbase OAuth, Neon database login, Stripe payments and a blog foundation for future AI ventures. To fuel marketing, he rolled out two AI-generated avatar videos that produce user-generated-style content on a green screen within 48 hours for just $49 a month, offering an alternative to traditional influencer campaigns.
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!