AIDevToolsSaaSVersion Control

PromptVault – Version control for AI prompts

Version, test, and monitor prompts for developers building AI features

Problem
Developers integrating AI features have prompts scattered across code, Notion, and Slack; they can't test changes, don't know which version is live, and can't tell if a bug is from the model or a prompt edit.
Solution
A centralized prompt management dashboard with version control, A/B testing, live deployment, and call logs. Developers call prompts via SDK, preview changes before publishing, and see exactly which version is running in production.
Users
Indie developers or small teams building AI features, especially those integrating LLMs into SaaS products.
MVP
Create and edit prompt templates; save version history and roll back; compare outputs of old vs new versions on a test set; fetch current version via API; log input/output and version per call.
Revenue
Usage-based pricing (first 1000 calls free, then $19/mo) or per-seat subscription.
Why now
AI features are moving from experiment to production, making prompt management a real need, but existing tools are too expensive or complex; indies can offer a lightweight alternative.

Source discussions · 1

  1. Reddit[r/SaaS] How are you managing prompts as your AI features grow?
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