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 up, OpenAI launched ChatGPT Voice inside chat on mobile and web, enabling real-time spoken interactions, immersive answers, and visual support.
In related news, Perplexity introduced an instant checkout experience powered by memory across both search and deep research modes, speeding up shopping workflows.
Meanwhile, v0 rolled out a preview of Gemini 3 Pro on its platform, focusing on design and 3D features and showcasing user-built creations.
On the tools front, Guillermo Rauch released a fully open source visual agent and workflow builder that outputs “use workflow” code and integrates with services like Resend, Linear, and Slack.
Additionally, LlamaIndex opened beta for LlamaSheets, converting messy spreadsheets into AI-ready data through its LlamaCloud API.
Another key development comes from LangChain AI, which added public agent skills to its DeepAgents CLI, allowing agents to tap into a growing library of capabilities.
Shifting to product management strategies, Perplexity’s team has shipped a new product or feature every 93 hours since January 2025, and rolled out a new top model every 17 days.
This week, Lenny Rachitsky highlighted that the biggest skill gap for new leaders is knowing when to coach versus instruct, empowering teams to solve problems effectively.
On a different front, Nuri Janian introduced the 5W framework—WHO, WHAT, WHEN, WHERE, WHY—to clarify problem context and guide product decisions.
In broader industry news, Google DeepMind marked five years of AlphaFold 2, with over three million researchers in 190 countries adopting its protein structure predictions.
Also in model benchmarks, after Gemini 3 Pro set a record Elo score, Anthropic’s Opus 4.5 reclaimed the SWE-bench leaderboard at 80.9 percent, illustrating diverse strategies across three labs.
In financial news, Jeff Dean announced the Google AI Futures Fund in partnership with Accel Atoms, offering early access to DeepMind’s advanced models, startup capital, expert support, and Cloud credits.
Now turning to recent video highlights, Greg Isenberg tested Claude Opus 4.5 against Gemini 3 Pro by building landing pages and a prototype for an Estate Clear dashboard. Claude’s front-end design skill generated a production-ready HTML page in one prompt, while Gemini 3 Pro in AI Studio used Nano Banana Pro to create a high-fidelity mockup image and then wrapped it in HTML, layering on AI-powered polish and integrated social update features.
He also showcased custom Claude Code skills—like an elevated direct response copywriting playbook with contrarian hooks and value stacking—demonstrating how non-technical founders can produce conversion-optimized pages with minimal prompts.
Next up on YouTube, DeepLearning.AI celebrated over one million learners completing its Deep Learning Specialization. Participants span software engineering, math, physics, healthcare, and the arts, with standout stories including a former IT manager turned reinforcement learning PhD student and a new parent who learned between naps to become a senior machine learning engineer.
Finally, Lucas Werthein demonstrated how to build a personalized AI performance coach in ChatGPT by ingesting MRI scans, wearable metrics, blood tests, nutrition plans, and training logs into a single system. By defining the AI as a performance strategist with clear goals, values, and constraints, he automated meal planning for events, mapped recovery timelines for elbow rehab, and delivered targeted training, mobility, and sleep recommendations.
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!