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.
LangChainAI launched a course on voice AI agents using Twilio and Opik, featuring open-source models. They also published a tutorial for deploying stateful LangChain agents on AWS Lambda using LangGraph’s DynamoDB checkpoints.
Meanwhile, LangChainAI rolled out PeopleHub, an AI LinkedIn tool on LangGraph 1.0.1 that automates profile analysis and report generation.
In related news, Aakash Gupta shared how a $4 billion company’s CPO runs her day with Claude Code and Cursor, using an agentic chief of staff and a triage agent.
Peter Yang shows how MagicPatterns and Subframe streamline UI/UX by generating variants in parallel, mixing components with drag-and-drop, and using reverse prompting to extract consistent design tokens—helping PMs iterate faster.
Over on YouTube, All About AI demos a Modern Warfare 2-style FPS clone with Claude Opus 4.5’s Cloud Code, featuring AI bots, kill cams, and Supabase-based weapon tracking. The devlog highlights gun versus knife kill tracking, an achievements page awarding a gold knife after ten knife kills, and a workflow using exploring agents and code compaction to automate code reviews and feature builds.
Xinran Ma outlines a five-step “vibe design” prototyping system: a custom ChatGPT for spec generation, MagicPatterns to compare four variants, and Subframe to blend components while toggling between AI and manual modes.
Shifting to go-to-market, Jeanne DeWitt Grosser, Vercel’s COO and former GTM lead at Stripe and Google, outlines the 2026 vision as a unified lifecycle across marketing, sales, customer success, and partnerships, merging specialized roles into integrated teams. Vercel’s go-to-market engineers are already automating SDR workflows with AI agents, achieving tenfold leverage by replacing nine of ten SDRs with a single human QA and a $1,000-a-year compute cost. They apply segmentation across company size, growth potential, business model, traffic rank, and workload type to tailor GTM motions.
George from prodmgmt.world warns that a sprawling 20-item roadmap often signals misdiagnosed problems and urges PMs to tackle a strategic obstacle. He critiques pre-created affinity categories for confirmation bias and recommends open clustering to reveal genuine insights. His “Find the Strategic Crux” prompt from the AI Prompts collection enforces causal mapping and constraint analysis before roadmap planning.
In industry updates, Pawel Huryn spotlights MIT’s Iceberg Index, showing visible AI impacts cover just 2.2% of the labor market, hinting at much greater potential. Separately, Elon Musk’s underappreciated involvement in three of the top four AI frontier labs, including shadow ties to DeepMind and xAI, comes to light.
That’s a wrap on today’s GenAI PM Daily. Keep building the future of AI products; I’ll see you tomorrow with more insights. Stay curious!