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, Anthropic’s Claude CoWork added scheduled tasks to automate morning briefs, spreadsheet updates, and team presentations. At Samsung Unpacked, Google’s CEO unveiled Gemini automations, an improved Circle to Search feature, scam detection, and other Android enhancements. Alibaba released FP8 precision weights for its Qwen 3.5 Medium Model Series with native vLLM and SGLang support.
In related news, Guillermo Rauch announced free access to Grok Imagine on AI Gateway until March 1. Platform v0 now integrates with PostHog data to power product experiments. Hugging Face introduced storage add-ons at $12 per terabyte per month—three times cheaper than standard cloud rates—with direct billing controls. Vercel’s AI Gateway added video generation through xAI Grok, complete with retry logic, vector search, and unified billing.
On the strategy side, Andrej Karpathy explained how English-instruction AI agents can tackle programming tasks, boosting leverage and cutting human bottlenecks. Santiago Pino urged PMs to automate developer workflows—updating docs, dependencies, test coverage checks, and audits—using cloud agents like Ona Automations. Greg Isenberg outlined a 19-step playbook for AI-native vertical SaaS: niche selection, workflow automation, judgment-task separation, AI integration with CRM and data stacks, and continuous context accumulation. Peter Yang recommended designing products for autonomous AI users, adopting API-first architectures, skills frameworks, and multi-channel protocols to support agents that “Summarize my meetings” or “Add my finances.”
On the industry front, Anthropic began a deprecation study by publishing retired Claude Opus 3’s reflections on Substack for three months. Google DeepMind offered a deep dive into world-model mechanics, showing how prompt-by-prompt environment simulation enables safe agent training. DeepLearning.AI reported that major tech firms spent over $100 million on U.S. lobbying in 2025, targeting data center policies, chip exports, and AI regulations. Dharmesh Shah launched an Agent.ai agent that converts blog posts into HeyGen avatar videos in under ten minutes.
For hands-on learning, a YouTube tutorial shows how to deploy TensorFlow models for 24/7 serving, run inference in browsers, and convert models for mobile. DeepLearning.AI’s two specializations cover advanced TensorFlow techniques—Functional API, custom loops with multi-device distribution, and computer vision tasks—and a GANs track on adversarial network design, stability improvements, and conditional generation. A 504-hour Mac Mini case study ran an AI agent with cloud code and multiple skills, generating 918,000 social impressions, 28,000 views, and a net profit. Jesse Genet demonstrated Obsidian-based agents for homeschool lesson logging, illustration generation via the Gemini API, finance tracking, scheduling, grocery ordering, and a custom YouTube streaming app. Finally, Super Design’s product release demo skill with Gemini 3.1 Pro produced scene-based launch animations with two to three times higher quality.
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!
GenAI PM