I'm Weizhi, founder of Runner AI. Excited to share what we've been building over the past 5 months: an AI-native commerce stack that autonomously builds, tests, and optimizes your store. Before starting Runner AI, I spent five years at Google and DeepMind — building data infra and Gemini. That shaped how I think about products: when data is unified and AI can see the full picture, it doesn't just help — it proposes changes, learns from real user behavior, and gets smarter with every iteration. But today, traditional e-commerce doesn't work that way. They stitch together 20+ tools that don't talk to each other. Your email tool doesn't know what your checkout learned. Your analytics can't inform your pricing. Because nothing connects, nothing compounds. You're running experiments in silos while customer behavior shifts daily. We built Runner to bring that self-optimizing logic to commerce, grounded in the belief that the best way to grow is to experiment, learn, and iterate continuously. Most e-commerce platforms are built for humans to operate, with AI added later as a feature. We designed it differently — a commerce stack built from the ground up for AI to observe, act, and improve your conversion rates automatically. Runner puts everything under one roof: storefront, analytics, experiments, pricing, promotions, user behavior — all unified, all visible to AI. When checkout improves, recommendations get smarter. When pricing learns, promotions adapt.