Building Real-Time Chat That Doesn’t Break at Scale (and Actually Uses AI Properly) Most teams underestimate chat. When you try to go past the demo, complexity rears its ugly head pretty quickly. You’re no longer just rendering messages. You’re dealing with: real-time delivery guarantees concurrency across users and sessions message ordering and consistency retries, offline states, and reconnections The Problem With Traditional Chat Architectures A typical chat setup looks something like this: REST endpoints for sending messages WebSockets or polling for receiving updates A database for message persistence Some background jobs for notifications It works—until it doesn’t. At scale, you run into: Latency issues (especially across regions) Message duplication or ordering bugs Connection instability under load Complex state management on the client Difficult horizontal scaling Now add AI on top of that and things get even messier.…