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 launch front, Anthropic launched Interviewer, a week-long pilot to gauge perspectives on AI. Cursor AI added OpenAI’s Codex model to its platform, free through December 11th. Google AI Ultra subscribers can now use Gemini 3 Deep Think in the Gemini app, tapping gold-medal IMO and ICPC tech for advanced math and science problem solving.
In tools and applications, v0 now accepts custom modular component packs via presets or quick configuration. LangChainAI’s LangSmith agent turns Slack messages into Linear issues, prioritizes and assigns tasks, and updates tickets to save engineering time. Base44 unlocked NPM support for GSAP, Chart.js, Radix UI, and more, enabling richer 3D, motion, dashboards, and uploads. A guide to multi-agent systems warns against over-engineering, favors no-code or low-code orchestration for routine tasks, and highlights n8n as a versatile free option.
On the product management front, Shreyas Doshi released a deep dive on listening as a PM skill, complete with a 15-minute AI-generated podcast. LinkedIn’s Full Stack Builder program is replacing its APM track, teaching employees to build, design, and ship end-to-end products with support from custom AI agents and new career paths. George Nurijanian urged moving beyond “documentation theater” to focus on competitors’ beliefs and constraints. Ramp’s Geoff Charles outlined a daily feature release process with an early-access tier and AI checks on goals, discoverability, and sentiment, followed by a 48-hour leadership review. Brian Balfour outlined Dreambase.ai’s AI-first workflow: an AI Requirements Doc, multi-tool bake-offs, a data-first schema, and separate roles for AI coding and customer engagement.
In industry news, Google Research unveiled Titans, a hybrid RNN-Transformer architecture with deep neural memory that scales beyond two million tokens. Itaú, Brazil’s largest bank, deployed the Devin AI agent across its software development life cycle for over 17,000 engineers, boosting efficiency across hundreds of thousands of repositories. Hugging Face released tutorials showing how to train high-quality models with Claude code, Codex, and the Gemini CLI—even for first-time model trainers. Vercel introduced self-driving infrastructure for AI workloads with fluid compute, an AI Gateway token CDN, and an AI SDK, with Thomson Reuters already shipping agents at scale.
Finally, Deeplearning.ai’s AI Dev NYC series featured six talks by Kay Zhu on Genspark’s Super Agent ($50 M ARR, 10 M users), Hatice Ozen on Groq’s one-call research agent, Jacky Liang on PostgreSQL hybrid search, João Moura on CrewAI’s 450 M monthly agents, Gary Qi on ByteDance’s TRAE Solo IDE, and Tomer Cohen on LinkedIn’s Full Stack Builder model in fluid human-plus-AI pods.
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!