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.
In AI product launches, Mistral AI unveiled the Mistral 3 family—Ministral 3 in base, instruct, and reasoning editions—and Mistral Large 3, an open-source Mixture-of-Experts model. LangChain opened its Agent Builder public beta, enabling teams to build AI agents via guided chat without code. Anthropic launched Claude for Nonprofits with discounted plans, new integrations, and free training.
On the tools side, Phil Schmid released a guide for building with Gemini 3 Pro in the AI SDK, covering commands, reasoning controls, and integrations into popular frameworks. V0 added an in-chat sidebar for managing projects, repositories, domains, and analytics. NVIDIA’s Nemotron Nano 2 and Nano 2 VL models are now available on Amazon Bedrock for text, code, image, and video tasks.
Turning to product management strategy, Dharmesh Shah discussed build versus buy in AI, weighing total cost, maintenance, and scalability. Aakash Gupta outlined the AI PM tech stack for December 2025—covering foundation models, prompt engineering, agents, and observability. Kevin Yien redefined prioritization as choosing a real problem, excelling at the solution, and adding unique details.
In industry movements, Anthropic acquired Bun to accelerate Claude Code while keeping it open source for JavaScript and TypeScript developers. Google released multimodal Gemini 3 Pro with adjustable reasoning, alongside Nano Banana Pro, which delivered breakthrough benchmarks. Clement Delangue warned that power concentration is AI’s greatest risk and urged the community to champion open-source.
On the professional development side, Peter Yang argued that certificates alone won’t impress employers; you must ship side projects, publish your thinking, or build prototypes to demonstrate real skills. Ben Erez outlined a five-step framework for workflow-first AI agents—defining when they run, each step, data location, objectives, and result delivery—to ensure they automate well-defined processes.
AI-driven user experiences are expanding with ChatGPT Apps, branded micro-apps within the ChatGPT interface. Target, Uber, Canva, and Coursera have launched these custom experiences, and OpenAI plans an official app store later this year—offering new opportunities for product managers.
Finally, developer keynotes highlighted open-source models rivaling closed options: GLM 4.6 delivers top-tier benchmarks with major throughput and cost gains, and the trillion-parameter Kimmy K2 tops GPT-5 on reasoning. Andrew Ng noted AI tasks double in complexity every seven months, driving 10× faster prototyping and 50% productivity gains. Vercel’s AI SDK unifies over 30 providers under one TypeScript API, supporting function calls via Zod schemas and type-safe JSON. BlackRock detailed its four-pillar governance, context-aware orchestrator, and modular RAG library for finance. Claude Opus 4.5 can automate video pipelines—from transcription to scripting, image creation, and editing—and generate highlight reels with metadata in minutes.
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!