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.
Cursor AI rolled out version 2.1, introducing an interactive UI for clarifying questions, in-editor code reviews, instant grep searches, and smoother browser integration to accelerate developer workflows. Shortly after, V0 teased a major upcoming release and opened a waitlist for early access.
Google AI recapped this week’s headline launches: the public release of Gemini 3 via the Gemini app, an AI Mode embedded directly in Search, the debut of GoogleAI Studio, and “antigravity,” a new agentic coding platform built by former Windsurf founders. The company also highlighted top benchmark victories for Nano Banana Pro across key AI leaderboards.
On the tooling side, There’s an AI for It introduced Browser Cash, an API that spins up real browsers on real devices with a single call, giving teams human-level web access without blocks. Meanwhile, Llama Index launched LlamaExtract’s Table Row mode for granular control over data extraction at the individual row level. Phil Schmid shared a hands-on tutorial to prototype an AI agent from scratch using Gemini 3 Pro, complete with under-100-line code for a working command-line interface.
On the product management strategy front, Nuri Janian outlined eight harsh truths every PM needs to hear, cautioning against vague requests for “AI-powered dashboards” without clear use cases. Mustafa Suleyman mapped the evolution of AI capabilities from IQ, focused on factual accuracy, through EQ for personality, AQ for autonomous agents, to the emerging frontier of SQ or social intelligence.
LinkedIn contributed fresh tools and tactical insights. Dharmesh Shah introduced ImageGen.ai in alpha, powered by Nano Banana Pro to produce 4K business-ready images that understand layout, color palettes, and design flow. He demoed iterative “revise” prompts for fine-tuning elements without waiting on a designer. Peter Yang spotlighted Wispr Flow’s voice-first AI dictation, letting teams draft specs and notes by speech, and shared insights from his interview with Wispr’s co-founder on advanced prompts and user onboarding trends. Marc Baselga warned about the “shadow side” of an experiment-obsessed, low-risk approach, challenging PMs to design bold, tenfold-impact versions of their products. Blair Dowding argued that building simple AI agents daily—tapping coding primitives, memory controls, and exposed “wires”—is key to developing genuine AI product intuition.
In industry news, Aakash G noted Google has overtaken Microsoft in AI infrastructure capacity for the first time since their OpenAI partnership, signaling a market repricing. Jeff Dean celebrated Nano Banana Pro claiming the number one spot on both text-to-image and image editing leaderboards. Greg Isenberg predicts a surge of one-to-ten-person micro-companies leveraging AI and organic social to serve niche audiences and drive real revenue.
On the video front, the Fireship channel asked if Google just killed OpenAI, reporting that Gemini 3’s launch boosted Google’s stock 6 percent to a record high, swept major LM Arena benchmarks, and unveiled the antigravity coding platform. Designer Greg Isenberg tested Gemini 3 Pro in Google AI Studio, tasking it with a Windows XP-style redesign of his website in about 111 seconds using React and Tailwind CSS—earning a 9 out of 10—and showcasing live annotation updates. He then prototyped an “AI Analyst Chef OS” SaaS dashboard (8.5/10) and a “Gains” mobile fitness app (8.3/10). DeepLearning.AI rolled out a beginner-friendly three-course Machine Learning Specialization in partnership with Stanford Online, covering intuitive overviews of supervised and unsupervised methods, neural networks, decision trees, and hands-on Python exercises without heavy math prerequisites. It also launched an AI for Good Specialization, taught by Robert Monarch with Microsoft’s AI for Good lab, guiding learners through case studies in air quality monitoring, wind power forecasting, and disaster response, and featuring experts on solar power, biodiversity monitoring, and fake news detection. Finally, All About AI demonstrated five “million-dollar” apps built in one day using Nano Banana Pro and Gemini 3 in Google AI Studio, including a celebrity selfie generator, a Brand Genius AI suite for full branding assets, a 2D-to-3D converter, a game-style profile picture creator, and a Hyper Boost tool for progressively intensifying image traits.
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!