Capture
A review run starts with the AI output, intended use, supplied sources, citations, and workflow metadata. Capture can come from the API or structured import.
How it works
Four steps from output to evidence-backed review.
The flow is intentionally narrow. Kivo reviews an existing AI output against supplied evidence, then compiles a brief reviewers can trust enough to inspect.
Extract
Kivo extracts atomic claims and keeps offsets where possible, so each material assertion can be inspected independently.
Verify
Claims are checked against source spans. Unsupported, partially supported, contradicted, and insufficient-context claims stay visible.
Review
The reviewer gets a source-linked brief, not a generic model score. Humans remain the decision authority.
Why this shape works
Reviewers do not need another trace viewer. They need a structured packet that names the claims, points to source spans, and separates evidence problems from policy decisions.
No paste-first workflow as the default product surface.
No final legal, medical, financial, hiring, compliance, or safety decisions.
No unsupported claims hidden to make an answer look cleaner.
No model self-certification without stored verifier metadata.