Agentic AI California

Major Takeaways Who gets to build software in the natural language era? Natural language interfaces remove the technical barrier to creation. Instead of learning syntax, anyone can describe their idea in plain English and see it built. Everyday users, teachers, realtors, consultants, small business owners, are becoming “citizen developers.” By 2025, 70% of new applications will be built with low-code or no-code tools (up from 25% in 2020), proving this shift is mainstream. What happens to professional developers when AI can “code”? Developers shift from writing boilerplate code to acting as curators, coaches, and quality guardians for AI-generated solutions. They orchestrate multiple AI agents, review outputs, ensure security, and align solutions with broader business goals. This preserves trust and creativity, while freeing developers from repetitive tasks to focus on design, innovation, and problem-solving. Why should businesses care about natural language interfaces? With NLIs, busi...

  Major Takeaways Why not use general AI models for go-to-market? General models lack business context. GTM needs domain-specific AI trained on real sales and marketing data to drive outcomes like pipeline, conversions, and product-market fit. What makes Landbase’s GTM-1 Omni unique? It’s trained on 40M+ B2B campaigns, uses agentic AI to automate GTM workflows, and continuously learns from results, delivering 4–7x better performance than traditional methods. How do teams use GTM Superintelligence today? With VibeGTM, teams articulate their GTM objectives in natural language, and AI agents autonomously handle targeting, content creation, and campaign execution. This accelerates speed to market, reduces costs, and enhances performance, all while preserving human oversight. Superintelligence is in the spotlight. Major AI labs—from OpenAI and Anthropic to Meta’s newly launched Superintelligence Labs—are racing to build general-purpose models that exceed human capabilities across reason...

Major Takeaways How does Vibe AI differ from traditional SaaS software? Vibe AI replaces manual, menu-driven workflows with AI-native, outcome-first systems that let you describe what you want in natural language, and the AI executes the steps for you. Unlike SaaS, which requires users to click through rigid interfaces, Vibe AI platforms act like intelligent collaborators that understand intent and handle execution autonomously. What business impact does Vibe AI deliver? Vibe AI drives 4–7x higher campaign conversions and reduces execution costs by up to 80%, all without adding headcount. By automating repetitive work and optimizing in real time, teams can launch campaigns faster, onboard with ease, and scale operations without hiring more staff. It’s like adding a 24/7 AI team to your business. Why should startups and SMBs pay attention to Vibe AI now? Vibe AI democratizes access to advanced tools, letting small teams operate like large ones. With natural language interfaces and built...