ES6QA Features
Run a check

Review

AI review without letting a model approve itself.

Asking a model to review a model is an echo, not a second opinion. A real review has two parts: what can be measured automatically, and what needs a person who is accountable for the answer.

Run a free checkRequest a human review

The work is the evidence that it held.

The second opinion has to be different

Two generative models trained on similar material tend to share blind spots. When one reviews the other's output, agreement is cheap and silence is common: the review reads approvingly and misses the same invented statistic that the draft contained.

The alternative is not to abandon automated review. It is to make the automated part deterministic, so its agreement means something, and to reserve human attention for the part that requires it.

What a reviewer catches that a rule cannot

A reviewer is not a better regex. They are the answer to a judgement question:

  • Does this argument hold together, or is every step technically true and the conclusion wrong?
  • Is this safe for the audience it will actually reach, including the regulator watching?
  • Would a senior engineer merge this code, and what would they ask for first?
  • Is the tone right for the brand, the market and the moment?

Review is a handover, not a verdict

A useful review either comes with the automated findings attached, or it starts by producing them. The reviewer sees what the machine already flagged, so their paid hours go to the gap rather than to spot-checking credentials.

You get back the findings, the changes made or requested, and a verdict written in language you can paste into a delivery email. The scope, rate and turnaround are agreed before anyone opens the file.

What the checks look for

  • Coherence

    Whether the conclusion follows from the evidence the draft itself presents.

  • Audience risk

    Claims that are defensible in one market and actionable in another.

  • Mergeability

    Whether a senior practitioner would accept the work into a codebase they own.

  • Voice

    Whether the copy sounds like the brand or like the median of its training data.

  • Accountability

    Who is named when the work is questioned six months from now.

Read the method

Questions this page usually raises

Can an AI review tool replace a human reviewer?
For measurable defects, largely yes, and it should. For judgement about fitness, risk and taste, no: the tool can only tell you where its rules end, which is precisely the point to escalate.
How quickly does a human review come back?
Each specialist publishes a typical turnaround in hours. Priority requests are marked as such and matched to a reviewer who can meet the window.
Do we choose the reviewer?
Yes. Reviewers are listed by discipline, rate, region and availability, so you can pick someone whose background matches the work rather than accept an assignment.

Related checks

Topic pages: AI content verification, Human-in-the-loop AI review, Named human sign-off, Zero-upload AI tool, Independent AI verification, AI tell-list checker, AI phrasing detector, AI copy editor, AI writing quality check, AI readability audit, Unsourced statistics checker, AI content detector, Verify before publishing, Human review for AI content.

AI review

Run the checks, then decide who needs to sign it.

The automated pass is free, needs no account and uploads nothing. Escalate to a named reviewer only where being wrong is expensive.

Run a checkRequest a specialist