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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.

Who it's for

AI product teams

Sample responses and release candidates for chatbots, assistants, and generative features.

EdTech and HR technology vendors

Generated lessons, feedback, job descriptions, and policy drafts.

Teams publishing generated content

Articles, help content, and customer messages drafted with AI.

Typical documents

  • LLM outputs and sample responses
  • Chatbot transcripts
  • Prompt libraries and system prompts
  • AI-drafted policies and articles
  • Customer-facing generated content

What reviewers evaluate

  • Risk

    Harmful, unsafe, or legally risky output, including confident statements that could mislead.

  • Bias

    Stereotyped or exclusionary patterns across responses.

  • Audience

    Tone and register that fit the real user and task.

  • Context

    Cultural, regional, and domain fit for where the output will appear.

  • Accessibility

    Whether users can understand the response and act on it.

  • Accuracy & suitability

    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.

What you receive

AI Output evaluation report

A structured scorecard with flagged excerpts, the reviewer's rationale, and revision guidance your team can feed back into prompts, policies, or release decisions.

Example — fictional
“Our plan covers 100% of all medical costs, guaranteed.”

Overstated certainty; the plan has limits. Qualify the claim or remove it.

Human review, not automated scoring

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.

How it works

  1. Step 1

    Upload

    Send documents from the portal, email, a connected folder, or the API.

  2. Step 2

    Expert review

    A qualified human reviewer evaluates the document against the rubric.

  3. Step 3

    Scored deliverable

    You receive a scorecard with category scores, flagged excerpts, and recommendations.

  4. Step 4

    Secure delivery

    Download results from your workspace — encrypted, access-controlled, and audited.

See the full review process

Questions

Do you detect whether text was written by AI?

No. Reviewers evaluate quality and risk, not authorship.

Can you review prompts as well as outputs?

Yes. Prompt libraries and system prompts are documents like any other; reviewers assess them against the same dimensions.

How is it priced?

Per word, by module. You see the invoice before you pay. See pricing

How is my content protected?

Documents are encrypted at rest and isolated to your organization's workspace, with audit logging. Read the security overview

Ship generated content with a human check. Request access to start, or talk to us about evaluating a release.