I built an all-in-one AI workspace (Chat, Code, Live Web Research, Docs & Images) — looking for tech

I built an all-in-one AI workspace (Chat, Code, Live Web Research, Docs & Images) — looking for tech

Leader ●4 ●8 ●22
calendar_today • schedule1 min read

Hi everyone,

I wanted to share a project I've been working on to solve my own daily workflow frustration: SMS AI SMS AI.

The goal was to build a highly responsive, unified three-pane workspace where you can handle complex code generation, live web research, document parsing, and visual generation without constantly swapping tabs or losing your active chat state context.

What's Built-In Right Now:
*Asynchronous Token Streaming Chat: Smooth, word-by-word token delivery with Markdown formatting and native syntax-highlighted code rendering blocks.

  • Intelligent Coding Assistant: Formats, refactors, and explains code across multiple programming languages instantly without freezing the browser execution thread.
  • Live Web Research Integration: Executes live web queries and dynamically infuses clickable, cited research sources straight into the conversational interface.
  • Document Parsing RAG Pipeline: Drop in dense PDF, DOCX, or TXT documents to instantly run automated local passes to pull summaries and extract key text insights.
  • In-Chat Multimedia Actions: Native speech-to-text dictation mechanics alongside instant visual art generation using dedicated in-chat model toggles.

⚙️ The Tech Stack:

  • Frontend UI Layout: React + Vite + Tailwind CSS for a hyper-lightweight layout structure and fast initial load speeds.
  • Backend Cloud Infra: Native Supabase integration to manage user session authentication states securely.

The workspace features a completely live 100% free tier (10 messages per day, no credit card required) so you can jump in and try it out.

I’m looking to aggressively optimize the layout, performance, and API delivery speeds. Please throw some tough optimization tasks or complex data sheets at it. What features do you feel are missing? What feels slow? I'll be monitoring the comments to answer any technical questions about the architecture!

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