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, Google’s Gemini 3 Pro now tops all major vision and multimodal benchmarks, powering advanced document, screen, image, video and spatial understanding.
In related news, Relume AI introduced a builder that crafts Figma, Webflow and React websites in minutes, serving 400,000 users and shipping over 1M projects since 2023.
Separately, Dyad, an open-source local app builder synced with GitHub, Supabase and Vercel or Netlify, is now available for free with no vendor lock-in.
In developer news, LangChain AI released a tutorial on building image, audio and video apps in LangChain using Base64 encoding, MIME types and a unified interface with Gemini.
Speaking of demos, Energy Buddy, a WhatsApp-based energy tracker, uses LangGraph with OCR and ReAct agent layers.
Also from LinkedIn, Greg Isenberg outlined seven AI agent ideas via the Claude Agent SDK and Opus 4.5, from SOC 2 compliance to grant writing and e-commerce optimization, showing how to link AI SDKs with workflows.
Andrej Karpathy suggests treating large language models as simulators: prompt them from specific perspectives like “What would a group of experts say?” rather than seeking a generic opinion.
Aakash Gupta recommends framing prompts as “What would a senior engineer, investor or customer say?” to increase relevance and depth from models like ChatGPT, Claude or Gemini.
Shreyas Doshi noted that “move fast” often optimizes for time to decision, first line of code, shipped feature and maximum impact.
LinkedIn’s Marc Baselga advised new group PMs to delegate via Radical Delegation and Top-Goal Strategy, manage up by aligning team goals with leadership, and own performance through clear expectations and feedback. He’s launching a cohort to support that transition.
In related developments, HelloSurgeAI hit a $1 billion valuation without outside funding, scaling under 100 staff and partnering with Anthropic and Google on top models.
Fei-Fei Li revealed the first BEHAVIOR benchmark results, with Robot Learning Collective winning gold and Comet taking silver across 50 household tasks.
Meanwhile at Intuit, Udi Menkes reported new AI accounting agents achieving over 90 percent accuracy, saving 12 hours per customer per month and serving two million users, highlighting the value of domain-trained models in finance.
From YouTube, All About AI showcased a scene changer on Cloud Code 4.5 using Fal.ai’s Cling 2.6 model and ffmpeg. Users upload a clip, pick a frame, enter a prompt and stitch a five-second AI segment into Breaking Bad.
Peter Yang detailed Alexa’s AI upgrades: a more conversational, tone-sensitive voice, live Ticketmaster and sports integrations, and a model-agnostic backend running over 70 models on AWS Bedrock. Amazon’s Working Backwards PRFAQ process shapes each feature from press release to launch.
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!