Ship prompt changes without touching code

Every LLM feature needs its prompts tuned constantly — but tuning a prompt shouldn’t require a pull request. PromptFlip separates prompt content from your codebase, so your team integrates once and then iterates every day.

Ship without a deploy

Prompts live in a version-controlled registry, not hardcoded in your app. A PM edits a prompt in the dashboard and it’s live immediately — no PR, no CI pipeline, no waiting on an engineer.

Test before you ship

Before a change goes live, run it against the real LLM directly from the dashboard. Pass in real input variables and see the exact response the model generates, so you catch a bad prompt before your users do.

Run a prompt against the real LLM and see the exact response before it ships.

A/B test safely

Not sure if a friendlier tone converts better? Split traffic between your live version and a challenger variant, and let real usage decide — no custom experimentation code to write.

Know what’s working

Compare conversion between prompt versions over time, so the call on which phrasing wins is based on data, not gut feel.

Built for developers and PMs together

Developers integrate the SDK once against a stable API — fetch prompts, log results, and move on. The registry handles versioning and delivery from there.

PMs own the day-to-day iteration from the dashboard — edit, test, and experiment with copy and tone, no PR required.