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 launch front, LangChainAI rolled out an Advanced Stock Research Agent built on a multi-agent DeepAgents system. It ingests real-time market feeds, applies technical indicators and financial ratios, and generates customizable reports and alerts for professional analysts. The platform can also trigger real-time notifications based on custom thresholds.
In related news, LangChainAI introduced LangCode CLI, a command-line toolkit automating boilerplate generation, refactoring, and test creation. It includes safe code-change diff previews and dynamic model routing.
Also from LangChainAI, ScrapeCraft launches as an AI-powered web scraping solution. It manages bulk URL extraction, streams data in real time, and auto-generates ETL pipelines through LangGraph, transforming raw HTML into structured datasets ready for analysis.
Separately, Harrison Chase shared open-source DeepAgents resources on LangGraph, paired with a LangChain Academy course. The materials guide teams step-by-step through designing, training, and deploying advanced AI agents.
Meanwhile, Teresa Torres highlighted Arize’s Alyx principle: exposing prototypes to messy, real-world data – incomplete forms, inconsistent formats, and unexpected inputs – to surface hidden flaws and improve model robustness before launch.
On the product management side, Aakash Gupta laid out eight key question categories for AI PM interviews: product design, success metrics, execution roadmaps, technical trade-offs, safety protocols, strategic vision, conflict resolution, and linking features to business outcomes.
Another key development comes from George Nurijanian, who released over fifteen AI prompt templates for high-performance PM artifacts. They cover drafting PRDs, crafting strategy docs, designing user experiments, and setting up A/B testing plans – all showcasing senior-level strategic, technical, design, and metrics thinking.
In broader industry news, OpenAI CEO Sam Altman predicted that Codex, the company’s code generation model, will reshape software creation by the end of 2026, leading to significant productivity gains and new engineering workflows. Teams should start evaluating integration opportunities today.
Anthropic leaders traveled to New Delhi for talks with India’s Prime Minister Narendra Modi and Minister Ashwini Vaishnaw, outlining a strategic partnership to advance the country’s AI ambitions. They announced support for joint research collaborations and plans to co-host the February 2026 AI Summit.
On Capitol Hill, Yann LeCun raised concerns over a proposal to cut National Science Foundation computer science funding by 50%. The debate underscores questions about balancing foundational academic research and private-sector investment in driving future AI breakthroughs.
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!