60-second walkthrough
The problem: prompts break silently in production
Most teams store prompts in Notion, spreadsheets, or .env files. When behaviour changes, nobody knows which edit caused it — or whether OpenAI updated the model.
PromptVault fixes three things in one workflow:
- Version — every edit is tracked with diffs
- Check — structural tests run before you promote
- Monitor — alerts when OpenAI model metadata changes
Sample data below — no account required. Sign up to run this on your own prompts.
1 — Version history
2 — Character diff (v2 → v3)
v2
Respond in no more than five paragraphs.
v3
Respond in exactly three paragraphs.
3 — Structural test results
Contains and exact_match validate rendered prompt text — not model output. LLM-as-judge is available for manual output grading.
4 — Model Watch event log
Model metadata updated
snapshot: 1737201600 → 1740000000
Structural tests triggered
pass rate 87% — above threshold
Alert sent
model deprecated — gpt-3.5-turbo-0613 removed
Model Watch monitors provider metadata and availability — not silent behavioural changes behind an unchanged model alias.
Run this on your own prompts
Free tier: 3 prompts, structural checks, and Model Watch for OpenAI models.
Alerts use Resend · polling runs daily on Vercel Cron