The problem
When the prompt is the product, it deserves version control.
In an AI-native product, the prompt often is the behavior — and yet prompts are frequently edited inline, untracked, with no way to tell what changed or to prove a change was an improvement. When the prompt carries the product's quality, it deserves the same discipline as the rest of the code.
How it works
Versioned prompts, evaluated before they ship.
Prompts live as versioned artifacts that declare their inputs, so a change has a history and a diff. Each variant is measured against a held-out evaluation set before it ships, so an update is judged on evidence rather than intuition — and if a change regresses, rolling back to a known-good version is one step.
The result is that how the system talks becomes a tracked, testable part of the product our Services team can evolve with confidence.
- Prompts live as versioned artifacts that declare their inputs
- Each variant runs against a held-out evaluation set before it ships
- Changes are reviewable and reversible — roll back to a known-good version
- The system's voice becomes a tracked, testable part of the product
Treat your prompts like the product they are.
The prompt service is one of the components our Services team builds AI-native products on. Tell us what you're building.