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.
Starting on the product front, Google DeepMind showcased Gemini 3’s multimodal strengths, coding a tokamak plasma flow visualization and composing a fusion physics poem live. LangChain AI released langchain-azure-storage for LangChain 1.0, integrating Azure Blob Storage with OAuth 2.0, lazy loading, and pluggable parsing for production-grade retrieval-augmented generation. And Aravind Srinivas shipped candlestick charts for tracking volatility and momentum, moving the tool closer to terminal parity.
SK Neuron published a tutorial on building multimodal AI apps with images, audio, and video using LangChain’s interface, including video moderation and content summarization examples. LangChain AI also issued a guide to building booking systems with LangGraph, covering graph architecture, state management, and testing in LangSmith Studio. George from prodmgmt.world highlighted chatprd.ai, joinvocation.com, and prodmgmt.world.
On the management side, Lenny Rachitsky hosted executive coach Rachel Lockett for a live session on when to coach versus direct and applying the GROW technique. Research from Capgemini, Deloitte, Harvard Business Review, and McKinsey shows emotionally connected users are twice as likely to adopt products. And George from prodmgmt.world reminded us that mastering PM frameworks doesn’t guarantee crafting actionable strategies, underscoring the need for both skills.
Turning to the broader AI industry, Sam Altman praised OpenAI Codex as “already so good,” predicting it will become a cornerstone for downstream innovation. Andrej Karpathy likened text-based LLM interactions to a DOS terminal and forecast the rise of an intelligent canvas as the next-generation AI interface.
Whisperflow CEO Tanay Kothari demonstrated how Whisper Flow runs in the background on desktop and mobile, auto-formatting speech into bullets and correct names with live correction, context awareness, and a low-volume whispering mode for privacy. The new snippet feature—trigger “whisper intro” to insert a reusable prompt—will soon include a community library, while tracking voice habit metrics to reclaim about five typing hours per day.
On the leadership front, Rachel Lockett outlined adopting a coaching mindset through global listening, the Nonviolent Communication framework for difficult conversations, and logging energy-boosting versus draining activities to shape roles around strengths. She also addressed co-founder relationship health and aligning teams with a one-page plan.
Finally, AI Jason demonstrated Entropic’s three-step prompt-engineering—identifying defaults, diagnosing root causes, and injecting precise guidance—to boost Gemini 3 tenfold for specific use cases. Shown on front-end design and Xcalidraw wireframe generation with the Superdesign agent, the method shows how concise directives and keywords like “linear style” can yield near–Gemini 3 quality on other models.
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!