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Saturday, June 14, 2025

LinkedIn Launches AI Hiring Assistant

AI-curated insights from 1000+ daily updates, delivered as an audio briefing of new capabilities, real-world cases, and product tools that matter.

LinkedIn Launches AI Hiring Assistant

AI Product Management Brief • Audio Edition
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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. First, in AI product launches and updates: Google AI announced ANCESTRA, the first film from Google DeepMind’s partnership with Darren Aronofsky’s Primordial Soup. ANCESTRA debuted at the Tribeca Film Festival, showcasing generative AI in filmmaking through AI-generated visual effects and narrative enhancements. Next, LinkedIn’s Hiring Assistant: David Tang revealed how his team built their first production AI agent for hiring using LangChain and LangGraph. The agent now supports end-to-end candidate screening and interview scheduling at scale across over 20 teams. Also, DeepLearning.AI highlighted Germany’s Black Forest Labs releasing three text-to-image models—FLUX.1 Kontext max, pro, and dev. These models deliver consistent character portrayal and support versatile backgrounds and artistic styles, with context-aware prompts that adapt to different use cases. Next, in AI tools and applications: Mike Krieger shared a deep dive on the multi-agent architecture powering Claude.ai’s research capability, including detailed diagrams of agent roles, communication flows, and prompting lessons. Meanwhile, Philipp Schmid launched a remote MCP server that integrates Google Search and Gemini 2.5, enabling agents to call web_search and use_gemini tools seamlessly within production workflows. Moving into product management insights and strategies: Aravind Srinivas noted that sustained daily feature requests on Perplexity Finance remain the strongest product-market fit signal, indicating real user demand. Also, Claire Vo advised founders to analyze who your most profitable customers are, align incentives, and monitor team well-being metrics to build sustainable business models. Finally, Harrison Chase emphasized that beyond raw model capability, UX enhancements such as streamlined onboarding, clear error handling, and contextual guidance are critical for AI product adoption, echoing insights from Assaf Elovic. In AI industry developments and news: Lovable Team announced “The AI Showdown,” a weekend event comparing OpenAI, Anthropic, and Google models with unlimited free access to Lovable’s testing platform. And finally, Jerry Liu wrapped up the Databricks Data + AI Summit 2025 after a standing-room-only talk on agentic document workflows, promising upcoming deep-dive content and session recordings. 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!

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