OpenAI Releases ChatGPT GPT-5 Multi-Mode

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 rolled out ChatGPT GPT-5 with three modes: Auto for everyday, Fast for quick responses, and Thinking for deep tasks. Thinking mode is now limited to 3,000 messages per week. Meanwhile, Alibaba’s Qwen Chat Deep Research now accepts both image and file inputs, unlocking multimodal analysis right in the chat interface. On the agent orchestration front, LangChain unveiled a Deep Agents UI with a built-in todo list, file system, and subagents panel, giving teams visibility and streamlined workflows. In developer tooling, Gemini CLI integrates in VS Code with 120 merged pull requests, allowing in-IDE diffs and direct code changes. However, LiveMCPBench—a benchmark of 527 tools—shows most LLMs struggle with tool retrieval and utilization. In related developments on database automation, agents built with LlamaIndex for SkySQL promise zero-hallucination SQL generation, faster development cycles, and seamless handling of complex schemas. Turning to product management strategies, Aakash Gupta recommends the most accurate startup playbook ever, packed with proven growth tactics for early-stage companies. Lenny Rachitsky argues that exceptional quality outperforms mediocrity, stressing that great products don’t need to be good. And Shreyas Doshi warns that ego and commiseration can create invisible career barriers for PMs. In other news, Google announced a $9 billion investment over two years in Oklahoma, funding data centers and community projects in Pryor and Stillwater. Meanwhile, Clement Delangue cautioned PMs that much social media buzz around AI tools comes from undisclosed paid promotions. Switching gears, Greg Isenberg shared his three-phase blueprint to bootstrap an AI startup from zero to $12.5 K MRR. Phase one runs a manual service on a boring pain—like invoice processing—for three to six months to hit $1–5 K MRR at 40% margins. Phase two wires AI agents using tools like Gum Loop, Lindy AI, and Claude Code to mirror SOPs, serving 50+ clients and lifting margins to around 80%. Phase three introduces self-serve SaaS, white-glove enterprise plans, and an API, backed by daily content to build an audience, drive word-of-mouth, and reinvest profits into agents and distribution. 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!