Comet Plus Launches AI-Human News Platform

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. On the product front, Arav Srinivas has launched Comet Plus, calling it an “Apple News+ for AIs and humans,” offering a unified content platform that curates internet feeds for collaborative analysis. Meanwhile, the team behind Agentic v0 announced their latest update, shifting from a strict “no tool” policy to unrestricted tool usage, unlocking more autonomous agent behaviors. In interface improvements, Logan Kilpatrick introduced a new System Instructions button that lets teams fully edit and reorder message chunks for finer control over prompts. In developer tools, Aakash Gupta pulled together a comprehensive tech stack of leading AI agent tools in one breakdown, giving product managers a go-to resource for evaluating integrations. Gupta also detailed his automated revenue workflows, using Zapier and Claude to scan incoming emails every two minutes, summarize content, and draft replies—driving over $1 million in revenue in just 12 months. On a related note, Claire Vo showcased a custom Parakeet Podcast Processor, a terminal-based agent that transforms 36 hours of audio into market insights and blog drafts. Separately in audio processing, Tomasz Tunguz demonstrated his own Parakeet Podcast Processor pipeline, which pulls RSS feeds for 36 weekly shows, transcribes audio with Whisper or Nvidia Parakeet, cleans transcripts via Gemini-3 locally, and produces daily summaries with host and guest details, key themes, quotes, tweet suggestions, and company mentions. His Python-driven blog post generator then taps a vector database of 2,000 articles, drafts posts in a matching style, and iteratively grades and refines them with an “AP English teacher” prompt until they reach A- quality. On the strategy side, Shreyas Doshi critiqued traditional MBA curricula, arguing that case studies and participation grades can fall short of real-world product challenges, and he’s shared a five-minute video breakdown of his proposal. Additionally, Gupta distilled insights from an 81-minute session with OpenAI’s head of Integrity Product, outlining a fast-track roadmap for AI product managers looking to level up their skills. In industry developments, Lenny Rachitsky sounded the alarm on an AI knowledge ceiling, noting that human experts must generate fresh training data—such as correcting protein folding predictions—to help models like ChatGPT and Claude continue improving. Hiring for AI product managers is surging across the board, with even Apple offering 30% and higher salary premiums for specialized PM talent. Finally, NVIDIA AI kicked off a thread on reasoning agents, showcasing how these models can think through complex problems, toggle reasoning on demand to optimize compute, and support decision-making in medicine and finance. 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!