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.
Cursor AI has launched Cursor 2.0, its first coding model designed to augment agents. From OpenAI, gpt-oss-safeguard has entered research preview with two open-weight reasoning models tuned for safety classification.
Meanwhile, LangChainAI has opened private preview of LangSmith Agent Builder, a no-code interface handling planning, memory, and sub-agents on its Deep Agents architecture. Arav Srinivas has rolled out the Perplexity Email Assistant for Pro users on a 14-day trial, promising end-to-end privacy. And v0 has boosted large-chat loading times by up to 12×, making extended conversations more responsive.
On the product management front, Kevin Weil highlighted that agent outputs only scale when you adapt workflows, echoing the call for process change. Teresa Torres explained why teams are shifting from browser-based Claude to Claude Code for building systems that compound over time. Lenny Rachitsky shared CTO insights suggesting that high code quality doesn’t always translate into product success, challenging a common assumption.
In industry news, Aakash Gupta pointed out that major tech firms are cutting staff to fund GPU purchases, signaling a strategic pivot. Sundar Pichai reported a record $100 billion quarter driven by double-digit growth across Google’s AI stack and over 13 million developers leveraging Gemini models. Google DeepMind has also launched the AI for Math initiative, partnering with five institutions and granting access to Gemini Deep Think, AlphaEvolve, and AlphaProof.
Now to our video highlights: Vercel’s CEO Guillermo Rauch showcased five AI startup ideas powered by V0, from a lunch-hour AI Camera prototype with custom filters to concepts like conversational form builders, dynamic document blocks, and a “Deepest Research” multi-LLM platform. Fireship reviewed the $20,000 Neo humanoid robot, revealing a 5′6″ frame, 66-pound chassis, Nvidia Jetson and Thor compute, and the need for remote expert teleoperation since it cannot cook or drive. Peter Yang’s comparison of GPT-5, Claude 4.5, and Gemini 2.5 across ten tasks found GPT-5 best for everyday Q&A, Claude leading in writing and deep research, a coding tie between Claude Code and Codex, and Claude’s “Projects” feature automating show notes to save hours each week. Finally, All About AI demonstrated a Claude-based agent on Hyperliquid’s API, turning $10,000 into $15,000 in one week and executing 20× Bitcoin longs for a 2.9% gain, while an automated “cryptobro” workflow scans funding rates to place leveraged trades autonomously.
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!