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.
In product launches today, Cursor rolled out GPT-5.3 Codex integration, now noticeably faster than 5.2 and quickly becoming the go-to model for engineers. Meanwhile, the same team released Composer 1.5, striking a solid balance between intelligence and speed. Separately, Anthropic announced that nonprofits on its Team and Enterprise plans now get access to Claude Opus 4.6 at no extra cost to maximize their impact.
On the tools front, LlamaIndex unveiled LobsterX, a self-hostable AI assistant for document workflows built on its Agent Workflows framework, powered by LlamaCloud for parsing, data extraction, and classification. Meanwhile, Mocha demonstrated how its platform automates UI building, email notifications, authentication, and analytics entirely through AI agents.
In strategy circles, Peter Yang questioned why teams with multiple AI specialists often end up optimizing internal tools instead of delivering real-world solutions, urging PMs to focus on concrete deliverables. In related insights, Ali Ghodsi pointed to the Genie family—enabling no-SQL queries, end-to-end model building, and automated data pipelines—as the secret sauce behind a $5.4 billion revenue run rate and over 65 percent year-over-year growth.
In industry news, Logan Kilpatrick highlighted that with Google’s Gemini you can just build things, underscoring its developer-friendly design. Also, Google Research described how it retrained a bird vocalization model built on DeepMind’s Perch 2.0 to classify complex whale calls, advancing marine bioacoustics and environmental monitoring.
Over on Vercel, Udi Menkes reported that teams using Claude ship 7.6 times more often and grow deployments 14 percent week over week, breaking traditional roadmap assumptions. With developer capacity no longer the bottleneck, PMs should double down on discovery, customer insight, and prioritization, treating AI-assisted engineering as a force multiplier for rapid experimentation and learning.
For AI-assisted prototyping, Greg Isenberg delivered a 49-second Claude Code crash course, showing product managers how to craft prompts, generate code snippets, and iterate on feature prototypes with AI coding assistants. Another development comes from Claire Vo, who introduced Flowy—a hybrid flowchart-and-design tool that lets you diagram UI flows and converse with Claude for precise specifications, speeding up AI-powered prototyping while maintaining engineering quality.
On the video front, James Dickerson built a complete AI-driven marketing funnel live in under 60 minutes using Claude Code in Visual Studio Code via Cursor on a $200-per-month Cloud Code subscription. He invoked 17 custom Claude Code skills—like positioning angles and direct response copy—ran one hour of Perplexity research to identify a niche angle, captured screenshots via Playwright to inform a conversion-optimized landing page, and generated square, vertical, and landscape video ads with Remotion’s CLI at no extra cost.
Another creator, CJ Hess, used Flowy with custom Claude Code skills to transform JSON definitions into interactive flowcharts and mid-fidelity UI mockups. He crafted three Markdown-based skills for overviews, flowcharts, and mockups; refined layout spacing and color contrast; launched parallel sub-agents for context gathering; produced an animated spinner wheel flowchart; passed TypeScript checks; and leveraged Codeex to catch a pointer-dot misalignment and refactor code into reusable components.
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!
GenAI PM