A prompt playground is a web page or app where you can try prompts on a model, change its settings and see the results straight away, before writing any code.
In plain words
You type a prompt, pick a model, adjust its settings, and run it. You can switch on tools like structured output or function calling and keep tweaking until the answers look right. Official examples include Google AI Studio and OpenAI's Playground. When you are happy, many playgrounds give you the matching code. For comparing prompts across many test cases, tools such as promptfoo go further.
A quick example
Imagine designing a quiz-question writer. In a playground you try three versions of the instructions, lower the temperature for more consistent output, turn on structured output for a JSON list, then copy the generated code into your app.
Where you'll meet it
- Learning how models respond to different prompts.
- Prototyping before building an app.
Related
Sources
- DocsGoogle AI Studio quickstart, Google AI for Developers · read 2 Nov 2026
- DocsPrompt engineering, OpenAI API docs · read 29 Sept 2026
- Docspromptfoo, promptfoo (GitHub) · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 2 Nov 2026. Spotted an error? Report it.