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.
On the product front, Google DeepMind introduced Gemini Omni, a unified model for text, images, video and more, streamlining multi-modal storytelling. In related developments, Demis Hassabis reported Gemini 3.5 Flash with four times faster inference, twelve times speed in the Antigravity benchmark at 800 tokens per second, and under half the cost. Meanwhile, Cursor launched new automations in its Agents Window, allowing PMs to build and manage automations alongside agents, with a 50 percent discount on new runs for seven days.
On the tools front, Cohere Labs published command-a-plus, an Apache 2.0 open-source model now available on Hugging Face. Google AI added creative workflows to Workspace—including Google Pics for image editing, Flow Agent for planning, Stitch by Google for live design-to-code, and FlowMusic for sectional song edits powered by Gemini Omni Flash. Separately, Cohere Labs unveiled Carbon, a DNA-native base model that runs 275 times faster than peers and can process a human genome on one GPU in under two days.
Shifting to product management strategy, Peter Yang recommends three to four iterations per project and 90-day roadmaps to learn what scales, rather than relying on multi-year plans. Teresa Torres laid out a four-component AI agent workflow—identity, scheduler, tasks, scripts—to automate follow-ups, task assignments, and weekly reviews in about an hour.
From LinkedIn, Ben Erez launched an Insider Loops scholarship offering a 50 percent discount on interview guides for PMs laid off from Meta, aiming to help them land roles at OpenAI, Stripe, Anthropic, Figma, and Google. Carl Vellotti opened early access to his CC4PMs Mastery program, a Slack community with live office hours for over 500 PMs covering GenAI tactics like collaboration tools, memory frameworks, and dispatch patterns—with early pricing using code EARLYAPPLICANT.
In other news, OpenAI reported its general-purpose reasoning model disproved the 80-year-old planar unit distance problem, marking the first time AI autonomously solves a headline research question. Sam Altman outlined three AGI priorities—research acceleration, company enablement, and personal productivity—and pledged $2 million in OpenAI credits to each Y Combinator startup.
Finally, Claire Vo noted that while many enterprises lock into Anthropic’s Claude under large contracts, pioneering teams experiment across open and emerging models like Codex and platforms such as AI Studio and Cowork to drive faster uptake and impact. She also recapped Google I/O’s AI announcements—Gemini, AI Studio, Flow, Omni, Stitch, and Pomelli—and highlighted which tools engineers and designers should prioritize to prototype quickly and scale intelligent features.
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!
GenAI PM