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.
Google integrated 250 million places into its Gemini API for map-grounded experiences, and Google AI released Veo 3.1 with enhanced realism, richer audio, longer video lengths, and new creative controls.
On the tools side, LlamaIndex launched a Workflow Debugger to visualize pipelines, log real-time events, and compare runs via pip install -U llama-index-workflows. In related news, GPT-5 now uses dynamic model routing across hundreds of specialist models to optimize cost, speed, and quality, and Clement Delangue open-sourced the Arch-Router-1.5B on HuggingFace.
In the agent ecosystem, Google’s Gemini API supports real-time agents through OnePlayground in 30 languages, complete with function-calling documentation. Meanwhile, AI Jason introduced Claude Skills, a modular SOP framework using a skill.md file plus assets and functions. By converting a seven-tool setup from 4,200 tokens to around 70, Skills like Slack Gift Creator and Algorithm Art deliver complex tasks in lightweight, scalable contexts.
On the developer platform front, Fireship dissected React Conf 2025: React 19.2 adds the useEffectEvent hook to prevent unwanted effect re-runs, a new Activity component that preserves hidden UI state, and version 1.0 of the React compiler for automatic optimizations, with Remix 3 emerging as an alternative.
In another deep dive, Greg Isenberg built Habit Flow—a wellness habit-tracking app—in under an hour. He used Idea Browser for trend validation, a GPT-5 prompt to generate three app concepts and draft a PRD, then orchestrated local and cloud Codex agents in VS Code to code, debug, and outline marketing and roadmaps, producing a functional Next.js/Supabase prototype.
On the product management front, Lenny Rachitsky reflected on finding a product’s soul during FigJam’s launch by iterating until the team felt genuine resonance. George Nurijanian recommended an advanced AI prompt library to accelerate strategy, user research, and roadmap prioritization. Meanwhile, Shreyas Doshi warned that fully booked calendars can mask which tasks truly deserve your focus and the necessity of saying no.
In industry developments, Google Research introduced LAVA—an AI scheduler predicting VM lifetimes to optimize cloud resources. DeepMind’s C2S-Scale 27B identified a new immune-amplifying pathway in cold tumors, validated in labs. And Sundar Pichai announced that AI Mode in Google Search is now live in over 200 countries and 43 languages, with users asking questions three times longer than before.
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!