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, Alibaba Qwen unveiled the Qwen3-VL Cookbooks, a curated collection of notebooks showcasing Qwen3-VL across Thinking with Images, Computer-Use Agent, and Multimodal Coding use cases. Meanwhile, Google AI recapped this week’s launches with Gemini Enterprise for secure agent workflows and CodeMender from DeepMind to automate code repairs. Bolt.new rolled out a /clear command to instantly clear conversation history, sharpening context and cutting costs by dropping unnecessary messages.
On the AI tools front, Llama Index released LlamaClassify, an API that automates sorting documents like contracts and legal files while providing reasoning for each classification. Jason Zhou published a tutorial on packaging workflows into .claude-plugin bundles with metadata for the marketplace, making it possible for developers to monetize plugin templates. Another highlight: Vercel’s v0 is hosting an AMA on October 16 to demonstrate how consultancies use v0 and AI Cloud to turn briefs into prototypes, with GM Zeb Hermann showcasing accelerated PRD-writing workflows.
In related industry developments, Demis Hassabis revealed that Google processed over 1.3 quadrillion tokens last month—about 500 million tokens per second, or 1.8 trillion tokens per hour. Additionally, NVIDIA AI published InferenceMAX v1 benchmarks demonstrating a ten-fold performance-per-watt boost at AI factory scale for production inference. Separately, Kevin Weil reported that GPT-5 Pro set a new record on FrontierMath Tier 4 with a 13 percent pass rate, up from near-zero performance a year ago.
In a deep dive inside Google’s AI turnaround, VP of Product Robby Stein explained how Search has been rewired around AI with features like AI Overviews for quick summaries, a conversational AI Mode, and multimodal Google Lens. AI Mode uses “query fanout” to run dozens of background searches across 50 billion products—updated two billion times per hour—and 250 million places, delivering state-of-the-art multi-turn responses within a year of prototyping. Google Lens integration grew 70 percent year-over-year to billions of visual searches each month, expanding core search beyond text to image-based queries for homework help or product discovery. Stein credits this progress to an ethos of “relentless improvement,” with daily product and model tweaks, tight collaboration with DeepMind, and a focus on clarity over cleverness until features reached a consumer-ready tipping point.
On the product management insights side, George from prodmgmt.world argues that real product sense emerges from pattern recognition across thousands of user interactions rather than hypothetical interview exercises. He also admitted feeling bored managing products and emphasized frameworks that prioritize shipping over passion, sharing more than 135 AI prompts for research and decision-making. Separately, Aakash Gupta announced that The Product-Led Playbook by Wes Bush is now open sourced, giving PMs free access to company-wide product-led strategies.
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!