Hey guys,

Like most people here, I use LLMs daily to double-check algorithms, write boilerplate, or parse through massive documentation. But I absolutely hate the latency. Waiting for a slow UI to stream code tokens line by line kills my rhythm when I'm in the zone.

I wanted something built for pure speed and utility, so I ended up building an all-in-one multimodal AI workspace called SMS AI.

The core focus is performance. The time-to-first-token is sub-100ms, so the streaming starts basically the instant you hit enter.

What's actually under the hood right now:

Real-time Streaming Chat: Built-in markdown rendering and long-term memory that doesn't forget the context of your codebase mid-session.

Code Generator: Fully optimized syntax highlighting, refactoring, and logic explanations for when you're debugging deep nested loops or data structures.

Direct File Analysis: You can drop PDFs, TXT, or DOCX files straight into the workspace to parse docs or API references instantly instead of scrolling manually.

Web-Aware Research: A dedicated search mode that crawls live sources and drops cited summaries so you don't have to open 20 tabs.

Other stuff: Built-in image generation and a voice assistant (hands-free if you get tired of typing).It's entirely free to use (10 requests/day, no credit cards or weird hidden catch). I really want to see how the streaming latency holds up under real competitive programmers pushing it with heavy, complex logical prompts.

Give it a run, try to break the code interpreter, and give me your most brutal feedback on the interface or speed. Link: SMS AI

Let me know what features are missing or what I should optimize next. Cheers!