ML evaluation infrastructure
Upload prompt/response pairs, run human review workflows with keyboard shortcuts, and generate evaluation reports. Built for ML teams doing model evaluation and red-teaming.
Explain gradient descent to a non-technical audience in 2–3 sentences.
Upload JSONL or CSV with prompt/response pairs. Validated row-by-row, processed asynchronously—progress tracked at 500ms.
Rate 1–5, set PASS/FAIL/SKIP verdicts, add Markdown evidence. Keyboard shortcuts let reviewers process 50+ rows per session without touching the mouse.
Export PDF reports with verdict breakdowns, rating histograms, flagged rows, and reviewer notes. Background-generated via async job queue.
Try the demo workspace and review your first dataset in under a minute.
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