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.
OpenAI rolled out branched chats on iOS and Android, enabling true multi-threaded conversation support on mobile devices. In related news, Sam Altman highlighted multi-currency support in OpenAI payments, expanding global payment options. Alibaba Qwen unveiled Qwen Code v0.5.0 with VSCode integration, a native TypeScript SDK, and smart session management. Meanwhile, Yuhki Yamashita revealed that the Figma App in ChatGPT can now convert any conversation into Figma slide decks and branded marketing assets, accelerating end-to-end chat-to-design workflows.
On the tools front, Llama Index launched AgentFS and LlamaParse to control filesystem access and boost document understanding in AI coding agents. LangChain AI demonstrated deep agent debugging with LangSmith—defining agents in a single file, crafting system prompts, and building an email-triage assistant. Separately, Nuri Janian shared how NotebookLM’s new audio overview can be used to critique product requirement documents for faster feedback loops.
In strategy insights, Lenny Rachitsky emphasized coding agents as key for building autonomous super assistants. Claire Vo pointed out that PMs often act as de facto capital allocators, directing scarce engineering resources to the highest-impact projects. Udi Menkes broke down ChatGPT’s four-layer memory—session context, user-consented facts, recent summaries, and a sliding dialogue window—to balance personalization and coherence. Marc Baselga shared drills like interrupt-driven practice and curveball recordings to train PMs in live pivots and on-the-fly decision-making. Paweł Huryn recommended matching prototyping tools to your development stage, from low-code studios like Lovable and Dyad to code-centric frameworks such as Firebase Studio and Cursor. And Tal Raviv showcased Cursor’s multi-agent setup, feeding the same context to Gemini 3, Opus 4.5, and GPT 5.1 to compare AI thinking styles side by side.
On the research side, Google Research tested Gemini 2.5 Deep Think to provide automated feedback on theoretical computer science papers, with 97 percent of STOC 2026 authors finding it helpful. Google DeepMind expanded its AI safety and security partnership with the AI Security Institute, focusing on model monitoring and social impact analysis.
Over on YouTube, Sahil Bloom and Greg Isenberg outlined a seven-question annual review plan for 2026—covering mindset shifts, energy creators and drains, and how to cut “boat anchors” to unlock growth. NVIDIA’s Nemotron 3 Nano 30B A3B model debuted with a one-million-token context window, four-times the throughput of its predecessor using only three billion active parameters, fully open weights, and sub-second demos in text-to-image, UI generation, and tool-chain workflows. Finally, Courtney Hickey, Executive Assistant at Zapier, revealed how she built an army of AI interns with Zapier Agents and custom GPTs to automate weekly meeting prep, generate tailored feedback, and sharpen executive documents before they reach the CEO.
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!