Use playgrounds to experiment with prompts, models, and settings through an intuitive UI. No engineering required.
See what engineers are testing. Share your experiments. Review results together. One platform for the entire team.
Track quality metrics on every iteration. See what's working and what needs to improve.


Adjust prompts, swap models, and test different approaches through an intuitive interface. No code required.
Move from concept to validated prototype in hours. Get answers to product questions without waiting for engineering resources
Loop writes evaluation code from your plain-English descriptions, so you can test quality without learning to code


Send engineers a link to your playground session. They can see exactly what you tested and turn it into production code.
Use human review UI with keyboard shortcuts to quickly rate AI responses. Mark good examples, flag bad ones, and collaborate on what quality means.
As you review, automatically save the best and worst examples to datasets. Use them to test future changes and prevent regressions.


Replace gut feelings with data. See which prompt, model, or approach performs better on accuracy, cost, and user satisfaction.
Know immediately if a change degrades quality, increases costs, or introduces safety risks. Prevent problems from reaching users.
Show leadership clear metrics on quality improvements and cost savings. Turn AI product intuition into executive-ready dashboards.