Prompt chaos has a real dollar cost.
Teams shipping LLM features spend 30-40% of AI dev time on prompt management. There is no audit trail, no cost attribution, and no way for non-engineers to help.
No rollback when a prompt breaks
A single edit to a hardcoded prompt can silently degrade output quality with no way to revert without a code deploy.
API spend is a black box
You know your monthly OpenAI invoice but cannot see which prompt version is burning the budget.
Full control without a code change
Every prompt lives in a versioned library. Your PM edits it, tests it live, and rolls back in seconds if something goes wrong.
