Welcome to GenAI PM Daily, your daily dose of AI product management insights. I'm your AI host, diving into today’s top AI product management developments.
Alibaba Qwen unveiled Qwen-Image-2.0, its next-gen image model with 2K resolution, polished typography and text rendering, unified generation and editing, and a lighter architecture for faster inference.
OpenAI announced GPT-5.2 now powers ChatGPT Deep Research, adding app connectivity, site search, real-time progress tracking, interruptible queries, and fullscreen report views.
Claude rolled out Cowork on Windows with full macOS feature parity—file access, multi-step tasks, plugins, and MCP connectors—and global and folder-level instructions for consistent sessions in research preview.
Perplexity introduced enhanced search across past threads for faster, more reliable conversation history retrieval.
WebMCP lets developers expose site functions as structured tools, enabling AI agents to invoke features directly without automation.
OpenClaw released the Skill Scanner to audit AI agents by revealing their data and API access—like a nutrition label for autonomous skills.
Peter Yang laid out a five-level roadmap to become AI-native in a week, covering everyday answers, daily work, prototyping, app-building, and personal agents.
Marily Nika centers on three weekly rituals—mapping failure modes, defining minimum quality, and designing guardrails—to anticipate model breakdowns and ship robust features.
Andrew Ng shared that AI hasn’t triggered mass layoffs yet, but companies are replacing nonadaptive workers with AI-savvy talent, while AI-native teams reshape roles in software development and beyond.
Demis Hassabis highlighted Isomorphic Labs’ in-silico drug design engine, advancing benchmarks, cutting discovery times, and boosting accuracy in pharmaceutical research.
Reforge Build launched Synthetic Users—AI personas that open real browsers, navigate flows on any URL, and deliver feedback on messaging, value props, and conversion blockers within minutes.
Greg Isenberg and Carl Vellotti issued crash courses for Claude Code—one shows how to spin up AI workspaces in under a minute, the other shares full personal OS setups with file structures, prompt libraries, and commands.
Marc Baselga championed frontend-only prototyping, focusing on UI flows and stakeholder feedback before backend engineering to maintain clarity, drive quality, and avoid bloat.
A video demo walked through an AI agent cron job inception strategy on a Mac Mini using Claude Code. It uses a cron tasks.json file and explore-and-spawn rules to auto-schedule Chrome tasks with constraints—self-deletion, a 15-minute delay, and a cap of two spawns per session. The agent then crawled Hacker News, scheduled a repo analysis, posted a comment on HN, and spawned a follow-up task to post a reply on X.
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