Review types
AI Output Review
Models generate plausible text. Expert human reviewers find the subtle audience, compliance, and reputational issues automated checks miss — before AI-generated content reaches your customers or employees.
Review types
Models generate plausible text. Expert human reviewers find the subtle audience, compliance, and reputational issues automated checks miss — before AI-generated content reaches your customers or employees.
Sample responses and release candidates for chatbots, assistants, and generative features.
Generated lessons, feedback, job descriptions, and policy drafts.
Articles, help content, and customer messages drafted with AI.
Harmful, unsafe, or legally risky output, including confident statements that could mislead.
Stereotyped or exclusionary patterns across responses.
Tone and register that fit the real user and task.
Cultural, regional, and domain fit for where the output will appear.
Whether users can understand the response and act on it.
Unsupported claims, likely fabrications, and fit for the intended use.
On request, reviewers also apply a human-voice emphasis: generic filler, repetitive structure, stock phrases, and overconfident claims. Reviewers flag likely fabrications; they do not replace subject-matter fact-checking.
A structured scorecard with flagged excerpts, the reviewer's rationale, and revision guidance your team can feed back into prompts, policies, or release decisions.
High · Risk
“Our plan covers 100% of all medical costs, guaranteed.”
Overstated certainty; the plan has limits. Qualify the claim or remove it.

Every score and finding on your report comes from a trained human reviewer. Review does not grade your content with another model. That is the point: people catch what plausible-sounding text hides.
Send documents from the portal, email, a connected folder, or the API.
A qualified human reviewer evaluates the document against the rubric.
You receive a scorecard with category scores, flagged excerpts, and recommendations.
Download results from your workspace — encrypted, access-controlled, and audited.
No. Reviewers evaluate quality and risk, not authorship.
Yes. Prompt libraries and system prompts are documents like any other; reviewers assess them against the same dimensions.
Per word, by module. You see the invoice before you pay. See pricing
Documents are encrypted at rest and isolated to your organization's workspace, with audit logging. Read the security overview