Building a next-gen search engine with Fauna and Cloudflare Workers requires a fundamental shift in mindset, separating concerns between edge workers and backend services, and using personalization factors computed ahead of time to generate highly relevant suggestions for users. The architecture is designed to scale rapidly, minimize latency, and reduce costs, with cloud-native clusters operating in multiple clouds and utilizing spot instances to optimize costs. Cloudflare Workers act as a proxy to downstream requests, enabling smarter load balancing at the edge, while Fauna is used to bridge the gap between serverless workers and compute-heavy batch processing applications, providing persistence and stability. This approach enables companies to stay ahead by redefining their market position, with benefits including increased developer productivity, reduced technical debt, and improved user experience through multi-turn technology and personalized results across multiple domains.