OpenAI Releases GPT-5-Codex for Agentic Coding

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. OpenAI released GPT-5-Codex, a version of GPT-5 optimized for agentic coding. It’s now available across the Codex CLI, IDE extension, web and mobile, and integrated into GitHub code reviews. In related news, Claude’s Sonnet 4 is generally available in Xcode 26, letting developers connect their Claude accounts to generate documentation, explain code, and preview projects right inside the IDE. Google Research followed up with TimesFM 2.5 on Hugging Face, boosting accuracy and context length, and topping the GiFT-Eval zero-shot leaderboard. Expect it soon in BigQuery and Model Garden. On the tools side, PagerDuty teamed up with LangChain to build a natural-language incident-querying agent that remembers context, checks safety, and lets teams explore incident data conversationally. Meanwhile, Phil Schmid highlighted the rise of subagents—specialized AI agents orchestrated for specific tasks—powering solutions like Claude Code and Poke, and hinting at more modular AI workflows ahead. Also, Perplexity is now the fastest-growing GenAI app on Android and iOS. Shifting to product management strategies, Lenny Rachitsky shared that answer engine optimization, or AEO, drives LLM-powered traffic that converts six times better than traditional search. George from ProdMgmt.world curated must-know resources for PMs: use ncase.me/loopy for systems thinking, toughtongueai.com for high-stakes prep, and the ProdMgmt.world site for strategic planning. On a different front, Pawel Huryn outlined seven AI-powered product-led growth loops—from viral output to hybrid trust—that compound over time to sustain adoption. In industry news, Anthropic unveiled its Economic Index, the first comprehensive analysis of AI usage across every U.S. state and all served countries, with an interactive site to explore detailed data. Jeff Dean from Google highlighted the University of Chicago’s NeuralGcM, an open-sourced AI weather model improving monsoon forecasts for 38 million farmers in India. DeepLearningAI also announced the first speakers and partners for AI Dev 25 NYC on November 14, hosted by Andrew Ng, powering their second AI developer conference. Finally, YouTube insights brought practical playbooks. Greg Isenberg and Cody Schneider outlined a creator affiliate strategy that took Everbee from zero to $6 million in ARR by pitching three-video packages to underpriced creators with a 30% commission and rolling top performers onto retainers. And on the How I AI Podcast, Terry Lin demonstrated building Cooper’s Corner—a speech-driven workout app for iPhone and Apple Watch—using Cursor and Xcode with GPT-4, featuring AI-generated specs, incremental coding with safety checks, and automated refactoring to keep code clean. 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!