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, Perplexity rolled out a redesigned iOS library view inspired by Apple’s thread library. Presented by Aravind Srinivas, this update brings a smoother, personalized daily timeline that makes finding past queries and threads feel effortless.
In related news, Rowan Cheung introduced Ava, an AI scheduling agent you can CC in emails to automatically find open slots and book meetings on your behalf—no more back-and-forth over calendars.
Separately, Logan Kilpatrick announced a fix for a billing system bug that was generating erroneous charges. Affected customers will see full refunds, ensuring billing accuracy and trust.
Shifting to the tools side, Andrej Karpathy shared his method for stitching multiple AI-powered coding environments—like code editors, test runners, and documentation bots—into one unified workflow, boosting developer productivity and reducing context switching.
Additionally, Aakash Gupta outlined an AI-driven learning workflow that promises to accelerate skill acquisition by tenfold. His step-by-step approach helps product managers onboard new domains and tools in a fraction of the usual time.
Turning to strategy, Gupta also sat down with OpenAI’s Head of Integrity Product to unpack the GPT-5 launch playbook. They explored the roadmap behind a potential $500 billion valuation and what that scale means for future PM roles in areas like safety and responsible AI.
Another key development comes from Aman Khan, who proposed practical simulation-based evaluations for PM candidates. By assigning real-world product tasks up front, companies can see decision-making skills in action before extending offers.
On the industry front, Lenny Rachitsky recapped Handshake’s meteoric rise from zero to fifty-million dollars in ARR in just four months—and its acceleration to over one hundred million within a year—fueled by twenty million students and experts on the platform.
Another development out of xAI: Sebastian Raschka praised the open-source release of the full-size Grok 2.5 model. He dissected its mixture-of-experts residual architecture and benchmarked it against a similarly sized Qwen3, giving teams a new high-capacity model for custom fine-tuning.
In other news, a video walkthrough shows how Claude Code, the Codex CLI, and GPT-5 can auto-generate a product requirements document, scaffold a React/Node.js web app, and wire in AI services like Replicate’s Ideogram for imagery and 11labs for music and text-to-speech. The demo even uses GPT-5 nano to draft voiceover scripts, CLIP 2.1 to generate each scene, and FFMPEG commands corrected by Claude Code to merge video segments and overlay background music at 20 percent volume with voiceover at full volume.
In another deep dive, Garrett Lord explains how Handshake transformed its decade-old career network into a zero-CAC expert data-labeling service for frontier AI labs. The unit hit $50 million ARR in four months and is on track to top $100 million within a year. By tapping into 20 million users—including half a million PhDs and three million master’s students—it supplies reinforcement learning feedback, prompt-response pairs, step-by-step reasoning, and rubric evaluations at scale.
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!