Aditya Trivedi
May 25, 2025
I am excited to launch PromptOS, a productivity tool built for AI enthusiasts, engineers, and creators who want to enhance prompts, compare outputs across LLMs, and optimize their AI workflows β all in one place.
PromptOS is a modern web app designed to give you superpowers when working with Large Language Models like Gemini, GPT-4, and Claude. Whether youβre a developer building with AI, a content creator refining your prompts, or a researcher testing model behavior β PromptOS gives you the tools to level up.
Refine and rewrite your prompts with help from an AI-powered enhancement engine. Improve clarity, tone, and intent in real-time.
Test how different LLMs respond to the same prompt and analyze their strengths and quirks. Choose the best model for your needs.
No more waiting β responses stream instantly using Server-Sent Events (SSE), making the experience feel real-time and snappy.
Save your best prompts, browse a curated collection by category, and upvote the ones that work well. A community-driven library to boost your prompt game.
Weβve implemented Clerk + Supabase for secure auth and Role-Based Access Control β so Admins, Uploaders, and Viewers have clear access scopes.
Every shared link to PromptOS now comes with a beautiful Open Graph image β try sharing it and see the magic!
As AI usage grows, so does the need to craft better prompts and understand how different models behave. PromptOS solves this by putting prompt optimization, comparison, and real-time feedback at your fingertips.
Next.js 15 (App Router)
Clerk for Auth
Supabase for storage + realtime
Server-Sent Events for streaming
Vercel OG for dynamic preview images
TailwindCSS + Framer Motion for UI polish
We're already working on:
π Chat with PDF using LangChain
π§ RLHF-style prompt learning
π Usage analytics dashboard
π Embeddings-powered chat history training
Whether youβre a prompt engineer, AI researcher, or curious tinkerer β PromptOS gives you the power to explore and push the limits of todayβs top LLMs.
Got feedback or ideas? DM me on LinkedIn or open an issue on GitHub. Letβs build this together. π
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