If your engineers are updating system prompts directly in the codebase, you don’t have an AI app. You have a ticking deployment bug

Most early-stage SaaS teams shipped their first AI feature the way they ship everything else. Shipped fast, and figured out the process later.

But a prompt isn’t config. It’s the logic layer of your AI feature. And most teams are editing that logic layer with zero version control, zero peer review, and zero rollback plan.

Here’s how it usually plays out:

→ A prompt gets tweaked to “fix” one bad response
→ Nobody logs what changed or why
→ Three other use cases quietly break
→ You find out from a support ticket, not a test

Swipe through for the CI/CD framework we use with clients to treat prompts like the production code they are.

Where do your prompts live right now, in a repo, in a dashboard, or somewhere in between?

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