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.
Let’s start with product launches. LlamaIndex now supports file uploads in LlamaAgents Builder, enabling natural-language workflows with example documents. v0’s MCP connector can pull in Granola meeting notes to transform conversations into production-ready features. Wispr Flow is now on Android, saving users at least three hours a week with strong retention.
Turning to AI tools and applications, Cognition’s Devin Review can fix PRs inline—swap a GitHub link for a Devin Review link to apply one-click code changes without leaving the interface. Meanwhile, Claude Code is hitting 115 words per minute, twice the speed of manual typing for a major productivity lift.
Shifting gears to product management insights, Peter Yang shared five takeaways from Nat Eliason’s guide to building a $4,000-a-week OpenClaw bot business, starting with a three-layer memory system. Santiago recommended task-specific small models as LLM judges for real-time, full-traffic evaluation at low latency and cost. He also noted that many AI products spike at launch then plateau after two weeks due to overlooked factors beyond model quality and UX.
Looking at LinkedIn strategies, Udi Menkes launched a Claude Code skill called /one-step-better that ingests GenAI PM briefs, analyzes your current context, and recommends the single most impactful action to execute within 24 hours. Greg Isenberg shared a 30-step roadmap to scale AI-powered SaaS to $100 million, covering niche workflow mapping, task automation, and outcome-based pricing.
Moving into broader industry developments, Anthropic signaled intensifying distillation attacks on AI models and urged rapid, collective action from companies and policymakers. DeepLearning.AI’s weekly brief covered GLM-5 open-weight performance, tech giants ramping up AI lobbying, on-device reasoning with Liquid AI, and disease prediction via sleep data.
In other industry insights, Guillermo Rauch predicted that future software will emerge from simple Markdown specs and be built by autonomous AI agents. Carl Vellotti’s analysis of Anthropic’s AI Fluency Index found that expert users iterate beyond the first response, critically question outputs, and set clear rules at the start.
Finally, from our video deep dive, two demos stood out. Vin linked Obsidian’s Markdown vault with Claude Code via CLI, using /today to aggregate tasks and notes, /trace to map a 13-month usage history, and /ideas to generate a structured idea report. Notion AI’s Prototype Playground is a Next.js monorepo powered by Claude Code and Cursor, letting designers run slash commands like /create-prototype, /figma, find-icon, and /deploy for rapid, AI-assisted prototype generation and deployment.
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