Pretty Prompt
Refine, organize, and reuse prompts across popular AI tools
Version prompts, evaluate changes, and trace AI applications in production

PromptLayer helps teams manage, test, and investigate prompts used by AI applications. A visual prompt registry lets domain experts edit and version instructions separately from application code. Teams can compare revisions, discuss changes, and publish prompts without tying every adjustment to an application redeployment.
Dataset-based evaluations combine automated grading with human review to examine how a change behaves before release. Production traces link model calls and agent steps to prompt versions, making it possible to inspect a failing run and the instructions it used. Cost, latency, and token metrics add operational context to the same workspace used for prompt experiments and regression checks.
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