PromptAudit: AI Prompt Quality Scorer
Analyzes and scores engineering prompts for consistency, ambiguity, and output quality — helping teams standardize AI workflows before they ship bad UX.
The Problem
Teams using AI tools like Cursor and Bolt are shipping inconsistent results because their prompts are poorly structured. There's no way to audit prompt quality at scale, leading to hallucinations, contradictory outputs, and wasted API spend on bad requests that could've been caught upstream.
Target Audience
AI product teams, prompt engineers at startups, engineering leads at early-stage companies using AI-assisted development (0-50 engineers), and agencies building AI features for clients.
Why Now?
Vibe coders are shipping AI features faster than QA can keep up. Prompt engineering is becoming a bottleneck, not a novelty — teams desperately need a lightweight gatekeeper.
What's Missing
Existing tools focus on monitoring live outputs, not pre-deployment prompt hygiene. There's no 'lint for prompts' that catches ambiguity, contradiction, and poor structure before it costs API calls and user frustration.
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