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.
First, Claude rolled out Haiku 4.5, a compact model matching Sonnet 4’s coding performance at one-third the cost and twice the speed, now available via API, Amazon Bedrock, and Vertex AI. Google followed with Veo 3.1 on the Gemini API and Gemini App, adding enhanced realism, richer audio, automated scene extension, and refined narrative controls. In related news, Alibaba launched Qwen Chat Memory, which stores and recalls personal context and history for richer, more tailored conversations.
On the tools side, NotebookLM added full LaTeX support, letting users embed formatted equations and technical documentation directly in their notebooks. LangChain highlighted LangSmith’s intuitive interface for exploring and debugging logs and traces in large language model applications. Meanwhile, Llama Index demonstrated LlamaAgents, enabling teams to spin up production-ready receipt extraction agents in minutes, complete with custom schemas and confidence scoring.
Turning to product management strategies, Lenny Rachitsky shared a prototype-in-a-day workflow where ideas generated in the morning become clickable prototypes by evening, spotlighting rapid iteration. George from prodmgmt.world recommended three essential websites for AI PMs: Loopy for systems thinking, Nautex for agent requirements, and prodmgmt.world for AI product frameworks. Separately, Shreyas Doshi announced an October 29 seminar on stress points and actionable strategies for PM, engineering, and design collaboration—available live or on demand.
In industry breakthroughs, Google and Yale’s C2S-Scale 27B foundation model generated a novel cancer cell behavior hypothesis that’s already been validated in living cells. Google Research also introduced Coral NPU, an open-source, full-stack Edge AI platform optimized for low-power devices. Additionally, OpenAI and Meta unveiled new consumer features—Sora 2, ChatGPT Pulse, and Instant Checkout—aimed at boosting engagement and revenue.
Pivoting to recent video briefings, Figma CEO Dylan Field recounted the company’s rebound from a failed acquisition and described the “follow the workflow” expansion into FigJam, Slides, Buzz, Sites, Dev Mode, and AI-powered Figma Make. That tool converts user prompts into interactive prototypes or working apps with design-system compliance and round-trip editing.
Another walkthrough highlighted a Windows XP–style web presentation built with AI: using a Python script and Whisper API to transcribe research, ChatGPT GP5 for structured talking points and mermaid diagrams, Claude for themed layout, and deployment on Vercel with live Q&A and quiz endpoints.
Greg Isenberg then reviewed Genspark’s Super AI Agent, a multi-agent workflow that pings GPT5, Code Soneta 4, and Gemini 2.5 Flash in parallel to generate refined YouTube intros, employs Nano Banana and other models for rapid image and video creation, and even offers a mobile Photo Genius app for instant selfie touch-ups and an AI calling agent for on-demand voice tasks.
Finally, a Deeplearning.ai demo showcased Google’s open-source ADK for building modular voice agents—planner, researcher, and writer bots that process spoken input, integrate with tools like Google Search, and output synthesized voice, culminating in a multi-host podcast agent.
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!