Manage evaluation examples with inputs, expected outputs, labels, source, difficulty, coverage, and review state before running model tests. This example brings Examples and Labels together so AI product teams can find the next task without losing context.
It includes representative records such as Permissions edge-case prompt and Billing refund scenario. Use the screenshot to study the layout, then adapt its components and product states to your own design system.

Table
Add example
Table
Default, loading, empty, error, permission, success
Configurable product UI theme
Product teams need to add example while keeping examples, labels and exceptions visible. The interface should show what changed and who should act next.
Examples → Labels → Add example → Review outcome
Table, Examples, Labels, contextual actions, error recovery
Prioritize columns that help people act. Keep filters when readers drill into details and return; show who owns each unresolved exception.
Pay attention to examples and labels. People need to distinguish Permissions edge-case prompt from Billing refund scenario. Keep examples visible, especially when a record changes owner or status.
Before this screen reaches handoff, verify keyboard focus, empty and permission states, and what happens after someone chooses “Add example”. Make error recovery as clear as the happy path.
Related screen examples to explore next: Prompt Versioning, Human Review Queue, Retrieval Playground.
Design a evaluation dataset screen inside our existing product. Use our current components, tokens and content language. Include Examples and Labels views, credible records like Permissions edge-case prompt, and a clear “Add example” action. Use our product permissions and show loading, empty, error and success states. Keep the output editable in Figma.