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 front, Gemini App rolled out improved LaTeX rendering, enabling inline equation editing and seamless copy-and-paste. They also introduced two new keyboard shortcuts: Shift-Command-O to start a new chat and Shift-Command-K to jump straight into search. Meanwhile, Google AI Studio added a save-and-reuse feature for system instructions, allowing teams to lock in prompt settings and enhance experiment reproducibility with Gemini. In related developments, LangChain announced a Cognee integration that gives its LangGraph agents persistent memory, so conversations can pick up exactly where they left off across sessions.
Turning to AI tools, Anthropic’s Claude introduced a modular skill format that packages prompts, tools, and assets into reusable components—what they’re calling Claude Skills—to accelerate coding tasks by up to ten times. There’s also now a public repository for community-curated agent skills. Another key development: Perplexity Assistant users on WhatsApp are being encouraged to migrate to the new askplexbot on Telegram for faster, more reliable responses. Additionally, n8n.io published a comprehensive getting-started guide for building workflow automations with Google DeepMind’s Gemini, walking through the infrastructure setup needed for conversational automation at scale.
On the strategic side, software engineer Philipp Schmid highlighted Andrej Karpathy’s analogy that large language models are “ghosts of internet-scale code,” masters of common patterns but prone to stumble on truly novel implementations. Separately, Aakash Gupta shared a warning from Gemini’s Head of Product: as AI features multiply, products risk becoming bloated. According to him, craft—an elegant, refined user experience—will emerge as the defining competitive edge. In related news, George Nurijanian pointed product managers to John Cutlefish’s “What the Best Product Managers Do,” a monthly checklist that distills five core principles for consistent, high-impact PM work.
Looking at the industry at large, Hugging Face co-founder Clement Delangue spotlighted a boom in open datasets—names like Fineweb, Webscale-RL, and SVQ are trending—and argued there’s simply no excuse not to train your own models today. And finally, edge AI is taking off: data scientist Sebastian Raschka observed that Apple’s latest models are running on-device as LoRA fine-tunes, underscoring the commercial viability of personalized, privacy-preserving model adaptation.
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!