PromptAudit: LLM Cost Detective
Tracks and analyzes every API call to Claude, GPT, and Gemini to identify expensive prompt patterns and suggest optimizations for AI-heavy applications.
The Problem
Developers building with AI tools don't realize which features are costing them the most money until the bill arrives. A single poorly-optimized prompt in production can cost thousands monthly, but there's no visibility into per-feature LLM spending or easy way to spot token-hungry patterns before they compound.
Target Audience
Solo founders and small dev teams using Cursor/Lovable to build AI-first apps who need to track spending per feature, optimize prompts, and forecast LLM costs before scaling.
Why Now?
AI app development has exploded but cost management hasn't caught up. Developers are shipping expensive features unknowingly, and there's a clear willingness to pay to avoid bill shock.
What's Missing
Existing dashboards from LLM providers show total spend only, not which app features or endpoints are burning money. No tool connects prompt patterns to cost per user action.
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