You can now use Playgrounds in LaunchDarkly to quickly test and compare AI Configs without writing any custom code. Playgrounds let teams define reusable evaluations that bundle prompts, models, parameters, and variables, then run them on demand to generate completions and inspect results in a structured, repeatable way.

Playgrounds also support automatic scoring: attach a separate LLM to evaluate each completion using your own rubric (for example, correctness, relevance, or toxicity). This shortens the iteration loop and makes it easier to understand which configuration performs best before you roll it out.
Future updates will include bulk evaluations, dataset uploads, and more advanced comparison tools, all powered by the same evaluation service underlying Playgrounds.

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