Prompt Input UX Auditor

Automatically audit and fix bad prompt input experiences for AI app developers

Problem

Developers themselves are complaining that prompt inputs in almost every AI app are half-baked: basic things like multi-line editing, shortcuts, undo, draft saving, character counts, and file paste are done poorly, and even the same product behaves differently across pages. The problem is repeatedly raised but nobody has built a systematic solution.

Solution

An audit SDK/CLI for AI product developers: it scans prompt input areas on a page, scores them against a UX checklist (shortcuts, multi-line, drafts, paste, accessibility, etc.), and hands back copy-pasteable fixes. Runs as a CI check or a real-time browser extension during development.

Users

Indie developers, small frontend teams, and product teams building conversational AI features

MVP

Browser extension that scans prompt inputs and outputs an issue list; 10-15 built-in rules (multi-line, shortcuts, drafts, file paste, char count, IME support, etc.); each issue ships with copyable fix snippets; export audit report as Markdown; start with React/Vue common components only

Revenue

Team subscription per seat plus a free personal tier; one-time buyout rule packs for design system teams; paid CI integration later

Why now

AI apps are exploding, but most teams focus on models and agent orchestration while basic input UX stays neglected; this is a small, clearly differentiated checklist product where an indie dev can win with rules and snippets alone.