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, Google AI Studio now lets teams “vibe code” using voice in a new “yap-to-app” paradigm, allowing developers to generate functions and UI by speaking natural language commands. In parallel, Comet has reached general availability alongside Grok-4 and GPT-5, and the team has teased an ambitious roadmap for deeper integration and performance improvements. LangChain and its companion LangGraph also unveiled a v1.0 Alpha release, introducing a middleware API for agents, standard output blocks, and major API updates to simplify multi-agent workflows.
Shifting to tool strategies, llama_index published a deep dive on when to parse versus when to extract in document processing—parsing to convert unstructured data into structured records and extraction to pull key fields—helping you choose the right approach for building document agents. In related developments, DeepLearningAI announced a partnership with Prolific to stress-test, debug, and validate AI models using real human data, showcased at AI Dev 25. Separately, Relace.ai rolled out an instant apply API for coding agents, dramatically cutting deployment costs for builder teams.
On the management side, George at prodmgmt.world shared a NOW / NEXT / LATER board system for small startups that prioritizes speed and clarity over complex tools. He also curated a bundle of proven PRD templates from Shape Up, Miro, Lenny, Kevin Yien, Asana, Intercom, and more to streamline documentation. Meanwhile, Teresa Torres explored the pitfalls of using AI to synthesize customer interviews, warning that over-reliance can obscure nuance, introduce bias, and lead teams astray.
In industry news, Anthropic is expanding to India with a new Bengaluru office slated for early 2026 to engage the local developer community and deploy AI for social benefit. Additionally, OpenAI has made all DevDay 2025 sessions available for replay, covering the AgentKit Apps SDK, Sora 2, GPT-5 Pro, Codex, and more.
Over on YouTube, Helena Liu demonstrated how to learn anything fast with AI using Google NotebookLM, powered by Gemini. She showed how to ingest top YouTube URLs on a topic, prompt NotebookLM to draft a step-by-step curriculum, then turn that outline into a focused educational video script in about ten minutes—using OpenAI’s Agent Builder as her example without writing a single line of code. In another creative showcase, Sora 2 conducted AI-generated interviews with Titanic passengers and crew, capturing reflections on the ship’s “unsinkable” lore, the iceberg’s emergence “like a shadow coming out of the stars,” and the eerie silence following the sinking.
Finally, Greg Isenberg and Amir walked through OpenAI’s new Agent Builder and ChatKit SDK, using a drag-and-drop canvas to build a multi-agent workflow that classifies inquiries as support tickets or new leads, routes them to specialized agents backed by vector-store context and guard rails, and embeds the chatbot on a website with dynamic UI widgets—all without additional engineering.
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!