AI Designer Agent With Your Brand Style

AI Product Launches & Updates

• Zhipu AI GLM 4.7 Pre-IPO Release: Aakash Gupta @aakashg0 reported that Zhipu AI passed its Hong Kong listing hearing on December 16 and launched GLM 4.7, targeting a January IPO at $300 million.

• GeminiApp Progress Update: Demis Hassabis @demishassabis praised the GeminiApp team for significant advancements in their AI model development.

AI Tools & Applications

• Custom AI Designer Agent: Jason Zhou @jasonzhou1993 introduced SuperDesignDev, enabling PMs to train a design agent with unique brand style and context, free to try today.

• Claude Chats Content Format: Shreyas Doshi @shreyas unveiled Claude Chats, a conversational format where he co-authors arguments with an LLM, sharing a thread of his 2025 sessions.

Product Management Insights & Strategies

• First Principles Thinking in Product Decisions: Shreyas Doshi @shreyas shared a Claude Chat exploring why few PMs truly apply first principles thinking despite widespread claims.

• Why Products Fail Despite Smart Teams: Shreyas Doshi @shreyas posted a deep Claude Chat analysis on why many products fail even when built by motivated, well-resourced teams.

AI Industry Developments & News

• Memory Market Power Shift: Aakash Gupta @aakashg0 reported that SK hynix holds 62% of the HBM market, sold out through 2026, and raised HBM4 prices by 50% for Nvidia.

• DRAM as National Security Risk: Aakash Gupta @aakashg0 highlighted Jensen Huang’s warning that DRAM is now a national security risk and questioned why Nvidia hasn’t repriced its supply chain exposure.

• Big Tech’s $40 B Acqui-hires: Aakash Gupta @aakashg0 revealed that Big Tech spent ~$40 billion in two years on acqui-hires—Google’s $2.4 billion Windsurf deal (~$60 million per head), Microsoft’s $650 million Inflection move, and Amazon’s $400 million+ Covariant purchase.

AI Tools & Applications

Explore how Karin Tatucu delved into Claude Pro’s Agent Skills, showcasing reusable “mini workflows” you invoke on demand in natural language. Unlike static Custom GPTs, these dynamic tasks automate processes—from converting meeting notes into action items to drafting PRDs or stakeholder emails—helping PMs streamline repetitive work without heavy engineering.

Product Management Insights & Strategies

Check out Paweł Huryn’s curated roadmap for AI PMs: start with core system and web fundamentals (system design, HTTP, front-end frameworks), progress to AI product essentials (prompt engineering, context engineering, agent design), and then experiment with no-code AI platforms like Lovable, Replit AI Agents, and n8n. This structured path bridges technical gaps and accelerates your journey from idea to launch.

AI Industry Developments & News

In a thought-provoking post, Peter Yang highlights reflections from two veteran engineers on how AI is reshaping the engineering profession. Their insights on evolving roles, new skill requirements, and collaborative workflows give PMs a lens into preparing teams and roadmaps for an AI-driven future.