8min → 3 sec
Tone fixes stop blocking on CI.
The "change a comma, redeploy for 8 minutes" cycle is the silent productivity killer. PromptVault collapses it to a save click. Compounded across your team, it's the actual product.
edit → save → live
Stop Redeploying Your App
Just To
Fix a Prompt
One dashboard for every prompt in production. Edit live, track every version, roll back in one click - no code changes required.
how it works
See PromptVault in action.
Watch the 30-second demo - Connect, Edit, Ship - without redeploys, commits, or production edits.
works with
Bring any model. Keep your stack.
PromptVault stores the prompt text and metadata - your code keeps calling your own LLM client. No proxy, no gateway, no lock-in.
OpenAI
Claude 
Gemini 
Llama 
Mistral 
DeepSeek 
Perplexity 
Hugging Face 
Ollama + your own gateway
demo
From edit to live in one save.
A real prompt change shipping to production - no redeploy, no commit, no production edit.
compare
The same job, without the deploy.
What changes when prompt edits stop being a code change.
Without PromptVault
With PromptVault
Edit a prompt
Open the repo, change a string, push a PR, wait for CI, redeploy.
Edit in the browser. Live in production in under a second.
Roll back a bad version
Hotfix, code review, full deploy. 15+ minutes.
One click from your phone. ~15 seconds.
Non-engineers tweaking copy
Slack thread → eng ticket → PR → ship next sprint.
PM or CS edits tone directly. Owners gate what reaches live.
Tying a trace to a prompt
Grep git log for the SHA deployed at 14:07 UTC.
Every save fires a signed webhook.
Audit + history
git blame on a string literal, if the commit message helps.
Full activity feed: who, what, when, one-click diff and revert.
Catching regressions
Wait for the on-call alert, or the angry support ticket.
AI Evaluator runs daily structural review and queues issues.
outcomes
What actually changes for your team.
Not feature lists. The day-one and week-one differences a real team feels.
v22 · live ↺ v21
Recover in seconds, not incident channels.
A bad save is one click away from being a non-event. Roll back any version, ship the fix at your leisure.
mid-incident, this matters
Test in staging. Ship to live.
Promote a draft to staging, run your evals, then promote to live. Same prompt id across environments - no string copy-paste, no drift.
staging v23 · drafted
→ live v22 · serving
MA JI SA OW +3
Your PM can fix tone. Your founder can audit tone. No GitHub account required.
Members edit prompts directly in the browser. Owners control keys, integrations, and access. Every save is attributed in the activity feed, so "who changed what" never becomes a Slack thread again.
+1 contributor per team, on average
AI Evaluator · today's run
- high Conflicting instructions on refunds
- med Variable not declared
- low Vague tone instruction
A silent reviewer on the team.
Daily structural reviews catch problems before users do.
Keep the stack you have.
We store text and metadata. You still call your own LLM client. We don't proxy, we don't gateway, we don't lock you in.
features
A focused dashboard for the full prompt lifecycle.
Author, version, stage, ship, audit, and review. One workspace per team.
the dashboard
The dashboard, tab by tab.
Edit prompts, browse versions, watch the activity feed, and let the AI Evaluator flag issues - every workflow in one place.
plans
Plans for any shape of team.
Every plan starts with a 14-day free trial. Upgrade when your prompt count or API volume crosses a tier.
Pro
$29 /mo est.
For shipping teams of one to a few.
Start free trial→ Pay now14-day free trial, then $29/mo
- Prompts
- Unlimited
- AI credits
- 200 / month
- AI Evaluator runs
- 50 / month
- Version history per prompt
- 100
- API requests
- 100K / mo, then $1 per 10K
- Seats
- 5 included , $10/seat after
- Activity log retention
- 90 days
- Active users
- ~3.5K est.
Estimate your bill
100,000 / mo(~3.5K users)
100K included
5
5 included
Team
$99 /mo est.
For larger teams with compliance.
Start free trial→ Pay now14-day free trial, then $99/mo
- Prompts
- Unlimited
- AI credits
- 1000 / month
- AI Evaluator runs
- 500 / month
- Version history per prompt
- Unlimited
- API requests
- 1M / mo, then $0.50 per 10K
- Seats
- 10 included , $8/seat after
- Activity log retention
- 365 days
- Active users
- ~35K est.
- Add-ons
- Priority support
- Coming soon
- SSO/SAML, audit log export, RBAC, 99.9% SLA
Estimate your bill
1,000,000 / mo(~35K users)
1M included
10
10 included
Enterprise
Custom
For orgs with security, scale, and compliance needs.
Contact sales- Seats
- Unlimited
- API requests
- Custom
- Version history
- Unlimited
- SSO / SAML / SCIM
- Included
- Audit log export
- Included
- Uptime SLA
- 99.9%
- Support
- Dedicated
Estimates exclude tax. API request and seat overages are billed monthly at the listed rates.
faq
Things people ask.
How fast does an edit reach production? +
Typically under a second. Saves write to a globally-distributed edge cache; your next request reads from the nearest region.
What's the difference between Draft, Staging, and Live? +
Draft is a checkpoint that doesn't affect any reads. Staging publishes to the prompt's staging slot; your staging API key reads it. Live publishes to the live slot. Staging keys fall back to the live version if staging is unset.
What does the AI Evaluator actually do? +
A scheduled daily pass over every prompt in the workspace. It surfaces issues like contradictory instructions, undeclared variables (e.g. {{recipient_name}} referenced but not in the variable list), vague tone directions, and missing fallback rules. Issues land in a queue with severity; click any one to jump straight to the offending line in the editor.
Who can edit prompts vs. manage the workspace? +
Owners create or revoke API keys, manage integrations, toggle workspace settings, and invite/remove members. Members create, edit, and delete prompts and versions. Both roles see the full Activity feed.
What happens if PromptVault is down? +
Build-time snapshot (recommended). Ship a CLI (promptvault pull → writes prompts.json into the consumer's repo) and have the SDK seed the cache from that file on init. Survives redeploys, no runtime dependency on us, snapshot version is pinned to your git SHA. Tradeoff: the snapshot is only as fresh as your last pull — staleness is bounded by your deploy cadence, not our uptime.
Do you do A/B tests, evals, or analytics? +
Beyond the AI Evaluator (which is structural review, not behavioral evals), no - on purpose. Every save fires a webhook with the version id, so your existing tracing, scoring, and cost tools can tag requests against the exact prompt that produced them. on the roadmapA/B testing and lightweight analytics are planned for a future release - we'll keep them opt-in so the vault stays a vault.
Which models / providers do you support? +
Any. We store text - system prompt, model hint, suggested temperature, variables, metadata. Your code passes prompt.source to OpenAI, Anthropic, Mistral, vLLM, your own gateway. We don't proxy LLM calls.
Can I use it without staging? +
Yes. Staging is opt-in per workspace. Without it, every save goes straight to live (with the same one-click rollback safety net). Turn staging on whenever you want a CI gate.
Manage prompts outside your codebase.
Instant prompt updates without redeploys, commits, or production edits.
✓
Cancel anytime
✓
No proxy, no lock-in