PromptVersionControl: LLM Prompt Git History
Git-style version control and A/B testing dashboard for AI prompts, letting teams track prompt changes, compare outputs, and rollback to previous versions without touching code.
The Problem
Teams using Claude/GPT in production have no way to version control their prompts, compare performance across prompt iterations, or understand what changed when output quality degrades. Prompts are either scattered in Slack/Notion or buried in code, making it impossible to audit why a model behaves differently week-to-week.
Target Audience
AI product teams at startups and mid-market companies (10-200 people) who have LLM features in production and iterate on prompts weekly, plus AI engineers and prompt ops roles at enterprises.
Why Now?
LLM usage is moving from 'cool demos' to 'production systems' — teams now desperately need ops tooling. Prompt engineering is becoming a repeatable job function, not a one-off task.
What's Missing
Version control tools (GitHub) don't understand prompts; LLM platforms (OpenAI) don't provide history; observability tools focus on tracing not versioning. The gap sits between infrastructure and product.
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