How Xiaohongshu Built an Enterprise AI Personal Assistant from Zero to Full‑Staff Coverage
Xiaohongshu’s AI team describes a month‑long, three‑person effort that leveraged an AI‑Native project model, isolated Kubernetes clusters, a custom sandbox (NEX), token‑saving Self‑GC, cost‑aware routing, and a three‑layer memory architecture to roll out a secure, low‑cost AI personal assistant used by every employee.
