Score a model candidate.
Rubric scorecards, trace review, judge output, and expert review records before release.
These pages show the buyer-facing flow for the model launch stack. They are product walkthroughs backed by checked-in demo data, not production runs.
Use them to inspect how AuraOne scores candidates, replays known failures, reviews task environments, prepares post-training exports, and brings release checks into one decision.
Read-only walkthrough
Checked-in demo snapshots
Buyer inspection
Linked product pages and app code
Rubric scorecards, trace review, judge output, and expert review records before release.
Baseline versus candidate replay so the next candidate does not break what was already fixed.
Actions, observations, rewards, traces, review records, leaderboard state, and marketplace evidence.
Reviewed signals, preference pairs, spans, trajectories, validation records, and lineage.
Evaluation, regression replay, compliance state, incidents, approvers, and final decision context.
Compliance checks, alerts, proof packages, remediation records, and audit evidence.