Google AI Launches Agentic Capabilities for Search

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 up, on the product launch front, Arav Srinivas introduced Perplexity Finance for natural language stock screening across Indian equities. Google AI rolled out agentic capabilities in AI Mode for Search, letting users handle multi-step tasks like booking dinner reservations in one workflow. In related government technology news, Gemini for Government was unveiled, bundling Google Cloud infrastructure, advanced models, and agentic solutions at under fifty cents per agency. On the tools and applications side, Anthropic published a concise one-pager on using AI at work, covering chatbots, document summarization, code generation, and more—perfect for product managers integrating AI into daily workflows. Meanwhile, v0 announced automatic embedding of interactive prototypes in Notion, so teams can share live demos right alongside their docs. Additionally, Bolt released a free, fully customizable link-in-bio template for creators and small teams, removing subscription fees and platform revenue cuts. Product managers also have new strategies in their toolkit. A system design blueprint from Aakash Gupta now covers ninety-five percent of common PM interview scenarios and is available online. Dharmesh Shah reminded us that a prototype is worth a thousand pictures and a product is worth a thousand prototypes, underlining the power of rapid iteration. Another key update comes from Shreyas Doshi, who published a video on influencing executives around contentious issues, showcasing AI-anonymized coaching dialogue and practical tactics for building consensus. In industry developments, a technical paper by Jeff Dean reveals that Gemini inference consumes just 0.24 watt-hours per text prompt across both text generation and code tasks, highlighting AI’s shrinking environmental footprint. Anthropic’s partnership with the National Nuclear Security Administration produced a classifier that detects nuclear weapons queries—such as requests for weapon designs—while preserving legitimate research access. And Kevin Weil reported that GPT-5 Pro is achieving novel breakthroughs in mathematics and theoretical physics, from solving complex integrals to modeling quantum systems. We’re also pulling market growth lessons from Alex Hormozi’s five-day, eighty-three-million-dollar book launch. His webinar funnel ran in four phases: six pre-registration emails, four registration reminders, four live-stream alerts, and six to ten post-event follow-ups—each using hook, story, offer direct-response copy. He supercharged sign-ups with an affiliate contest for top referrers, announced winners on day three to amplify urgency, and spent about four hundred fifty thousand dollars per day on ads, complemented by physical mailers at roughly fifty cents apiece. Finally, Eoghan McCabe shared how he rescued Intercom by cutting forty percent of the workforce, rewriting company values, and investing one hundred million dollars in an AI-first pivot. Six weeks after GPT-3.5’s release, Intercom launched Fin, which grew from one million to twelve million dollars in ARR during its first year and now drives a mid-eight-figure run rate with over three hundred percent annual growth. They also wrote off fifty million in legacy ARR and introduced outcome-based pricing at ninety-nine cents per issue resolved—one-twentieth of typical industry rates. 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!