No-AI Standard

Quality Assurance for Human-Written Content

This isn’t about feelings toward something in progress. It’s about the requirements for a pass or a fail. The more complex portion of this list items is something a machine won’t be able to do. Those gaps will have to be filled by someone who has read the brief and the filing.

Order content How it works

How Human-Written Quality Assurance Works

The same checklist is applied to all orders, and the volume of the order dictates how much of the checklist is applied. For example, a 200-word product description and a 4,000-word research report will be assessed against the same criteria for spelling, sourcing, and originality; the research report will have more text to cover, but the underlying criteria do not change. No order is processed out of turn for being too small or too urgent.

There are two distinct groups of check types. One is evaluative, the other is subjective. The evaluative group includes things that are objectively correct or incorrect, e.g. are the external links functioning, did you quote the exact wording, did you include the heading(s) requested, did you use the exact same quote, etc. The subjective group is evaluative, and this is the reason people engage in this task – does the claim concrete evidence, does the opening transition merit the following paragraph, does the example actually refute the argument it was selected to demonstrate.

If something does not pass a check, it is sent back stating the line number and the specific failure. Feedback stating a draft needs to be more concise will be the least helpful. It is often the case that, if a reviewer cannot state the sentence in question, he or she has not actually thought about what is wrong with it.

What a clean report proves

Having twelve automatic plagiarism checkers determine that a draft is original text and is readable to a human is evidence relating to writing patterns. This does not confirm that the information is correct. They are distinct procedures, and we do both at the same time.

What Human-Written Quality Assurance Checks

The following checklist gives the order in which a reviewer usually goes through the checklist. Because of this, it is dull. Quality problems in commissioned writing are rarely exotic, but are typified by broken links, untraced numbers, headings that the brief requested and the draft neglected to add.

The originality check is the last step in the process once the text generation has finished. Copyscape searches published text for duplicates, and ten different AI detectors will score the text. It’s good to use more than one because the detectors will often give different scores. The argument against using just one is that if the detectors just agreed with one another, the score would be unequivocal. As it stands, a higher score from a spread of detectors is more compelling.

This is what we won’t do because a checklist that implies more but delivers less is even worse than a short one. We will not give legal reviews, financial or medical sign-offs nor will we give any rankings assurance. When a page needs legal or clinical approval prior to publishing, we will inform you of that in the delivery note and you take care of it.

  • Word count stays within prescribed limits.
  • All headings and sections specified in the brief are included.
  • External links resolve and support the statements to which they correspond.
  • Statistics are traced to the publisher named in the writer’s sources.
  • Exact quotes copy the original quotes with no paraphrasing.
  • Consistent US spelling and house style with regard to numerals and dates.
  • Terminology is consistent with the client glossary or style sheet provided.
  • Copyscape returns no duplicated passages.
  • Draft is scored by ten AI detection tools, and all reports are included.
  • The file is completed in the specified format of the brief.

Why Human-Written Quality Assurance Includes Human Review

Detectors only identify sequences; they have no viewpoint on the truth. A draft can clear every stage in the sweep and contradict itself, cite a study from 2016 and consider it as a recent study, or summarize its fourth section by repeating its second section. Scoring tools never catch any of that. A reader spots all those issues instantly, and your reader is the one who matters.

It is also true that the opposite failure is more frequent. Writing that is clear and structured, and that describes a technical concept, is more likely to be assessed as machine-generated than personal writing that is more free flowing. This is because these models have been trained to recognize plain and consistent structures. It is equivalent to punishing a writer for being clear.

Now, a flagged draft initiates a conversation. The draft is sent to the editor. The editor may ask how the piece was built, take a look at the source list and drafting history, and provide feedback. The feedback is subjective and may be challenged as may the editor providing feedback, but it will be documented.

  • No single detector score defines a draft. Someone reads the draft in its entirety.
  • Flags are never resolved until talked about with the writer.
  • All reports go to the client as is, including the bad ones.
  • Confirmed generative drafting or humanizer use ends the engagement, not the draft.

Human-Written Quality Assurance FAQs

Yes, at claim level. The author acknowledges the source(s) by displaying statistics, dates, names, and direct quotes. A sample of the references has been cross-checked, and rather than taking it on faith, the references have been opened. We are not conducting a specialist audit by any means. What we confirm is that the claim is a match to its specific source. We do not evaluate if the source is the best possible.

The brief is the point where you request that the additional checks be stipulated in the process documentation, such as a second editor, compliance with your glossary, or a specific style of citation. There is no change in the cost of $10 per 100 words. For such requests, if the work involved is greater, we provide the new completion date before commencing the work.

We provide a detailed account of the specific failures. The clock stays with us, and will not be moved to you. If the draft cannot be improved to the required standard within three days, the editor will reach out to you, before the deadline, to provide an updated deadline with an explanation.

Yes. A 100-word request goes through steps like long requests: sourcing, style, Copyscape, and the full detector sweep. The steps that don’t apply are about structure and headings, because there is not enough structure in a hundred words to be incorrect.

There is currently nothing that will allow us to check the quality of the pieces produced elsewhere. A source list, a history of edits, a verified writer, and a verified work are some of the checks we employ. Running detectors over a file void of all of these checks would result in a number with no meaning.

We hand you a file that meets your specifications, including correction of levels of headings, consistency of capitalization, and lists. It will not correct file formatting in your content management system. That is your template, and we have no visibility of templates.

Always. No matter what the scores are, every report is sent with the delivery email. Along with each report is a “flag” that explains what we found and what we think. Treating you to lesser wrapped reports would make this whole process motivational.

A checklist is only useful if one is willing to fail something against it. The most useful part of the process is not the twelve platforms or the ten line items; it is that a draft can be sent back on the third day, when otherwise everyone here would have to send it out.

Content a person actually wrote

$10 per 100 words, and the writer keeps all of it. Our 1% sits on top, 0.5% goes to trees, and no generated text appears anywhere in the process.