AuraText – Like Grammarly for AI prompts, works in every Windows app

Name: AuraText – Like Grammarly for AI prompts, works in every Windows app
Availability: InStock
Author: yashra4j

by yashra4j·Mar 4, 2026·1 point·0 comments

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AI Analysis

●●SolidSolve My ProblemShip It

Local prompt optimization framework for any Windows app, but learning mode lacks substance.

Strengths

•Works across 11 AI providers including local Ollama; genuinely BYOK-first in crowded space
•Overlay integration into any Windows app (Notion, VS Code, Slack) is frictionless UX
•Solo 4-month build with 1000+ downloads shows traction and execution

Weaknesses

•Learning Mode and Trust Layer listed as 'Coming Soon'—core value prop incomplete
•Prompt optimization frameworks (RISEN, COSTAR) exist as free libraries; wrapper adds UX not novel technique

Post Description

I built AuraText – a free Windows app that sits on top of every app (Notion, VS Code, Slack, Word) and optimizes your AI prompts before they reach the model.

The problem: most people get bad AI outputs because their prompts are vague. AuraText transforms raw prompts using frameworks like RISEN, COSTAR, and RTF – same AI, better input, dramatically better output.

Key things it does: - Works as a floating overlay in any Windows app - Built-in AI router (Claude for analysis, GPT-4 for creative, Gemini for research) - Bring your own API keys – no subscription - Supports 11 providers including local Ollama - Learning Mode to actually build prompt skills over time

Built this solo in 4 months. 1,000+ downloads so far. Completely free during beta.

Would love brutal feedback from HN.