Streaming vs. Syncing: Why Your Chat App Is Burning Bandwidth
If you’re a developer building an AI chat app and want to ensure seamless user experiences—even during page refreshes or across multiple tabs—this video is for you. It introduces Convex’s Persistent Text Streaming component, a solution designed to handle real-time streaming and data persistence challenges in AI chat applications.
The Convex component to get started: https://www.convex.dev/components/persistent-text-streaming
🔍 What You’ll Learn • How to implement real-time AI chat streaming using Convex. • Techniques to persist chat data, ensuring continuity across sessions and devices. • Strategies to optimize bandwidth and reduce redundant data transmission. • Integration of Convex’s serverless functions and database for efficient backend operations.  By the end of this video, you’ll have a clear understanding of how to build a robust, real-time AI chat application that maintains state and performance, even under challenging conditions.
Convex is the backend platform with everything you need to build your full-stack AI project. Cloud functions, a database, file storage, scheduling, workflow, vector search, and realtime updates fit together seamlessly.