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 a major industry shift, OpenAI announced that Peter Steinberger, creator of the open-source personal-agent toolkit OpenClaw, is joining OpenAI to drive multi-agent interactions, with OpenClaw hosted in an open-source foundation aligned with OpenAI’s ethos.
Meanwhile on the product side, OpenAI’s Logan Kilpatrick shared an experiment in AI Studio comparing new versus old coding start screens and invited feedback on the updated user interface.
On the tooling front, Peter Yang published hands-on OpenClaw tutorials—including a 20-minute quick-start, memory configuration guides, and an in-depth interview with Peter Steinberger—helping developers master personal agents faster.
On a different front, Jason Zhou showcased WebMCP in Chrome beta, guiding PMs through enabling the Web MCP flag, installing the Tool Inspector extension, and using declarative HTML attributes or navigator.registerTool calls to expose agent tools like listColumns and moveCard in web apps.
Separately, Dharmesh Shah introduced “AI Ninja,” a background platform that aggregates diverse data sources to build agents with frontier LLM-powered reasoning and high context quotient, showcasing evolving approaches to context-aware AI.
On security, Peter Yang recommended isolating AI agents on dedicated hardware with separate credentials and applying simple common-sense checks as a straightforward risk-mitigation strategy.
In other news, Dharmesh Shah urged a bias towards action, highlighting that compressing feedback loops and accelerating iterations scales success with the number of productive development cycles.
On the product management side, Peter Yang and Factory AI’s Eno demoed a live workflow that transforms meeting transcripts into working apps, covering PRD best practices, feature prioritization, and a hybrid toolchain strategy using Opus for planning and GPT for execution to surpass standalone agents.
Additionally, Udi Menkes built a React-based skill in Cursor/Claude Code to convert briefs into branded Google Slides decks automatically, contrasting this with Eleanor Berger’s approach using Slidev, Nano Banana sub-agents, and Python scripts for parallelized illustrations and visual refinement.
Meanwhile, a YouTube showcase used an autonomous Claude Code agent to invoke the OpenCode CLI via OpenRouter across four leading models in parallel, generating HTML demos of a retro space game, merging them into an MP4 video.
Another video highlighted Factory’s Droid agent in high-autonomy spec mode, using Opus 4.5 for planning and GPT-5.2 for execution to build and QA a React-based speed-reading web app with automated screenshots, continuous linting, and type-checking via Chrome DevTools.
A separate segment featured HubSpot co-founder Brian Halligan outlining his LOCKS framework for evaluating founder-CEOs—Lovable, Obsessed, Chip on the shoulder, Knowledgeable, and Student of leadership—and noting that CEOs of larger firms spend roughly half their time recruiting direct reports.
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