PromptAudit: LLM Cost & Quality Inspector
Analyzes and visualizes token spend, latency, and output quality across all your AI API calls to find which prompts are inefficient money-wasters.
The Problem
Developers using Claude, GPT, or other LLM APIs have no visibility into which prompts are costing them the most money or producing the worst results. Teams routinely waste 30-40% of their API budget on poorly optimized prompts, but lack tools to identify and fix them without manual auditing.
Target Audience
Solo founders and small dev teams (2-10 people) building with AI; startups where LLM costs are 15%+ of infrastructure spend but unmonitored.
Why Now?
LLM costs are now the #2 infrastructure expense for AI startups (after compute), and prompt optimization is becoming urgent as companies scale; existing solutions are overkill and expensive.
What's Missing
Current tools (LangSmith, Braintrust) target enterprise users and require heavy instrumentation; indie devs need a lightweight, self-serve SaaS that plugs into existing API keys and immediately shows waste.
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