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, Lovable Dev rolled out the Lovable Ambassadors program, creating a global builder community with exclusive early product drops, private workshops, and special perks. In related news, v0 introduced a referral program that awards $20 in credits to both referrers and new users. Expanding into financial services, Anthropic enhanced Claude Sonnet 4.5 with an Excel add-in, real-time data connectors, and pre-built agent skills tailored for finance workflows.
Shifting to developer tools, OpenAI is embedding ChatGPT suggestions directly into documents, emails, and forms, letting teams request quick edits and rewrites without leaving their workflow. Meanwhile, LangChain launched its Essentials Academy course on building AI agents in Python and TypeScript and declared LangChain 1.0 stable. At LlamaIndex, the new LlamaClassify service brings agentic document classification to their TypeScript SDK for seamless integration.
From a strategy perspective, Philipp Schmid shared five context-engineering guidelines—from append-only prompts to static tool configurations—that can cut costs by four-fold and improve latency. Lenny Rachitsky highlighted that Goose, Blocks’ open-source AI assistant, is saving employees eight to ten hours per week on tasks ranging from file organization to code writing. Meanwhile on the product side, Claire Vo demonstrated how AI via Cursor can generate PRDs, spin up JIRA tickets, and auto-reply to review comments, dramatically streamlining documentation and collaboration.
In related industry updates, OpenAI is preparing to allow mature-content apps once its age-verification system rolls out. And LlamaIndex has been named by TechCrunch and GreenfieldVC as one of sixty companies driving AI innovation this year.
In the demo corner, Greg Isenberg and Amir showcased how Claude Skills can 10x agent capabilities by defining skills in markdown, loading context only when needed, and running custom Python for deterministic workflows. They demoed a UTM link generator web app, an AB test idea agent, a marketing data analyzer, and even a live Tweet-to-Newsletter skill. Next, the All About AI channel revealed a Cloud Code–based trading agent running on custom MCP servers to fetch pre-market and closing prices from Yahoo Finance alongside sentiment signals from X, Reddit, apewisdom.io, and Swaggy Stocks. It filters out mega-caps to focus on small- and mid-cap tickers, placing its first CFD trades on Beyond Meat—using 5× leverage on an $800 position at $1.90 entry and $1.80 stop-loss—and on SoFi with 2.5× leverage at $29.98 entry and $27.50 stop-loss. Finally, Principal Product Manager Dennis Yang from Chime demonstrated how Cursor’s AI-powered IDE serves as a central hub—connecting to multiple AI models, a local file system, Git, and MCP integrations for Jira, Confluence, Notion, Figma, and more. He walked through drafting PRDs in Markdown, publishing to Confluence and Notion for feedback, auto-processing comments as himself via the Confluence connector, converting docs into Jira epics and detailed story tickets with acceptance criteria, generating weekly status reports via JQL, and even prototyping a no-code AI morning briefing agent—all within the same environment.
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!