๐—Ÿ๐—ฎ๐—ฟ๐—ฎ๐˜ƒ๐—ฒ๐—น ๐—”๐—œ ๐—ฆ๐˜๐—ฟ๐—ฒ๐—ฎ๐—บ๐—ถ๐—ป๐—ด ๐—จ๐—ซ ๐—š๐˜‚๐—ถ๐—ฑ๐—ฒ

A working AI stream often feels broken. Users see silence and think the app is frozen. You must fix the gap between working and good.

Focus on these three states:

Fix the pre-stream silence. Send a thinking event immediately. This tells the user the system is working. Use a typing indicator.

Avoid layout thrashing. Do not update the DOM on every token. Batch updates with requestAnimationFrame. This prevents lag on mobile devices.

Surface tool calls. Show the AI thinking process. Let users see what the system searches. This removes uncertainty.

Kill orphaned processes. Stop the backend when a user cancels. Use connection_aborted for SSE. Use Redis flags for queue jobs. Stop wasting tokens.

UX is not polish. It is trust. Build an explicit state machine first. Treat the transport as a detail.

Source: https://dev.to/dewaldhugo/laravel-ai-streaming-ux-typing-indicators-thought-states-and-stream-cancellation-45co

Optional learning community: https://t.me/GyaanSetuAi