The hardest problem in agentic AI isn't reasoning — it's the web. Most AI agents fail in production because they can't actually use the internet. The return policy lives in a PDF. The shipping calculator is a multi-step form. Product specs sit behind a tabbed interface that only loads after a click. To a human, the site works fine. To the AI trying to read it, half the site doesn't exist. Firecrawl (151K stars, pushed today) is building the infrastructure layer underneath: - Search: finds actual content, not URL lists - Scrape: renders JS, handles accordions, tabs, lazy-loaded sections - Interact: clicks "load more", fills forms, navigates menus, logs in This is what makes agents actually useful in production. Lovable, Replit, and Zapier use it. Shopify's CEO invested after using it as a customer. The key insight: the next step for AI agents isn't smarter reasoning. It's the ability to navigate the live internet the way a human does. Models are already smart enough — the web just wasn't built for them to read. github.com/firecrawl/fire…
