# Test Prompt Karini AI's prompt playground offers tooling for extensive prompt testing including A/B testing against different models, ability to view live traces and maintain audit trail of all prompt experiments with an option to save prompt runs. Karini AI’s prompt playground revolutionizes how prompts are created, tested, and perfected across their lifecycle. This user-friendly and dynamic platform transforms domain experts into skilled prompt masters, offering a guided experience with ready-to-use templates for kickstarting the prompt creation. Users can quickly evaluate their prompts using different models and model parameters focusing on response quality, number of tokens, and response time to select the best option. 1. [Test and Compare prompts](/karini-ai-documentation/prompt-management/test-prompt/test-and-compare.md) 2. [Observability/View traces](/karini-ai-documentation/prompt-management/test-prompt/prompt-observability.md) 3. [Save Prompt Runs](/karini-ai-documentation/prompt-management/test-prompt/prompt-runs.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://karini-ai.gitbook.io/karini-ai-documentation/prompt-management/test-prompt.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.