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Introduction

What elsai Prompt Manager is, what problem it solves, and how it fits into your AI stack.

The problem

Most teams start with prompts living in Python strings inside their application code. That works for a week. Then:

  • Marketing wants to tweak the tone — but they don't have a PR workflow.
  • A production prompt is silently broken — and nobody knows which commit changed it.
  • You ship a new model and want to A/B two prompts — but each rollout is a code deploy.
  • Your eval pipeline needs the exact prompt that ran on a customer last Tuesday — and you can't get it back.

Prompts are content. They change faster than code, are edited by non-engineers, need review before going to customers, and need to be reproducible long after they were edited. Application repositories are the wrong home for that.

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