Current chatbot applications send an extra request to name the chat with the user. This creates millions of redundant requests that slow UX, inflate compute costs, and add operational complexity for a purely cosmetic feature. A lightweight approach using classical ML techniques (tokenize prompt+reply, remove stop-words, score term frequency, select top-k, and preserve original order) generates equally coherent titles without any additional inference. This approach is deterministic, microsecond-fast, near-zero cost, and scales cleanly—delivering the same user-visible outcome while dramatically improving efficiency and spend.