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.
Alibaba’s Qwen team open-sourced Qwen3-TTS, releasing five models (0.6 B and 1.8 B parameters) with free-form voice design, cloning in ten languages, and a 12 kHz tokenizer. Llama Index released LlamaParse v2 with cleaner config and structured outputs, plus LlamaCloud SDKs for Python and TypeScript.
In tooling news, Cursor AI added subagents for parallel task execution—boosting speed, context handling, and support for long-running jobs—and built-in image generation via Google’s Nano Banana Pro. Cognition launched Devin Review: swap “github.com” with “devinreview.com” in any PR link for instant AI feedback.
Madhu Guru stressed pairing workflow experts with product-savvy teammates to codify institutional memory; Lenny Rachitsky provided prompts for non-technical PMs to review AI-generated code; and George Nurijanian noted PMs using Claude Code to draft PRDs in ten minutes, synthesize interviews, and pull metrics without developer help.
Claire Vo calls this the “feature race” era, making competitive benchmarking table stakes, while Guillermo Rauch says AI has turned developers into 100–1,000× engineers, prompting PMs to rethink hiring frameworks and team structures.
In industry headlines, OpenAI’s API crossed $1 billion ARR last month, according to Sam Altman, underlining enterprise momentum. Google DeepMind unveiled D4RT, transforming video into fast, scalable 4D representations for robotics and AR. Google Research showed how decomposing user trajectories into screen summaries lets small models match large models on intent extraction at lower cost. Guillermo Rauch also predicts agentic commerce, where AI agents handle routine shopping invisibly and enhance brand discovery.
For professional growth, Paweł Huryn curated a free virtual AI conference calendar for 2026, spotlighting key AI and PM events for skill-building and networking.
Meanwhile, on the developer tools front, Bun—a Zig-based JavaScript runtime on JavaScriptCore—combines runtime, bundling, transpiling, package management, testing, HTTP server, and database drivers into one binary. It offers bun init, live reload via bun run --watch, and installs npm packages up to 25× faster while staying fully Node-compatible.
Wrapping up with dev tutorials and agentic workflows, Peter Yang’s tutorial shows shipping a 2D space shooter in twenty minutes with Claude Code—automating asset selection, spec drafting, GitHub commits, and Vercel deployment. Deeplearning.ai’s short course on Gemini CLI demonstrates an open-source agent powered by Gemini 3 that automates tasks from catalog updates and dashboards to PR reviews, social media kits, and file organization. And All About AI covered skills.sh, adding React best-practice and design guidelines to Claude Code, plus a Remotion skill integrated with FFmpeg and Whisper to automate every step of video editing—from audio extraction to captions, animations, and sound effects.
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!