Quality

An AI writing quality check needs a rubric, not a vibe.

Quality is not one number. It is a small set of questions asked consistently: does this claim hold, is it structured for the reader, does it sound like us, and can anyone check it.

Five dimensions, in order of consequence

Score in this order, because a failure at the top makes the rest irrelevant.

  • Accuracy: every number, quote and date traceable to something a reader can open.
  • Completeness: the promise of the headline and headings actually delivered.
  • Structure: a reader can find what they came for without reading everything.
  • Clarity: sentences a tired reader can follow once, without re-reading.
  • Voice: it sounds like this brand rather than like the median of the internet.

What a check can measure in each dimension

Accuracy is partly mechanical: statistics without visible sources, absolute claims, quotations without attribution. The rest needs a human who can open the source.

Structure is largely mechanical: heading ranks, duplicates, a long piece with no sections, paragraphs that run past 220 words. Clarity is measurable enough to be useful: average sentence length, flat rhythm, jargon density, repeated openers.

Voice is the least mechanical and the most recognisable. Stock phrasing, hedging and symmetrical triads are the visible surface of a draft that was assembled rather than written.

Why scores hide the important failures

Averaging dimensions produces the same problem as averaging findings: one unsourced regulatory claim can vanish behind four clean sections.

So report the dimension scores and the blocking findings separately, and let the blocking list decide. Accuracy failures should never be averaged into a total.

The same caution applies to improvement over time. A rising score sometimes means the rule was removed rather than the writing fixed; compare the findings, not the number.

Completeness is the neglected dimension

Generated drafts are rarely incomplete in obvious ways. They are incomplete in the way that survives a read: a heading promised a section that is a paragraph, a process described without its prerequisite, a comparison without the alternative the reader will ask about.

The check that matters here is the brief. Compare the draft against the original ask, line by line, and mark what is missing. Ten minutes of that catches more than a full line edit.

For procedural writing, completeness is testability: can a reader who matches the stated prerequisites follow the steps and arrive at the described state.

Calibrating the rubric to the format

A landing page and a policy document do not share thresholds. The first can tolerate a short paragraph with a bold claim; the second cannot.

Set expectations per channel: what accuracy evidence is required, what structure is mandatory, what voice tolerance applies. Then the same report can serve every channel without pretending the standards are identical.

Write the thresholds down next to the brief, so a writer knows what a pass looks like before drafting.

Where a person signs

Anywhere accuracy carries consequence, the rubric ends in a named decision: an editor, a compliance reader, a subject specialist, depending on the claim.

That signature should state the scope. Reviewed for factual accuracy in the pricing and eligibility sections is auditable. Approved is not.

The report and the signature together give you the two things a quality process is for: repeatability and accountability.

What this covers

  • Accuracy evidence

    Sources a reader can open, dated and specific, per claim.

  • Completeness against brief

    Every promise in the outline delivered somewhere in the draft.

  • Structural signals

    Heading ranks, duplicates and block lengths reported mechanically.

  • Clarity measures

    Sentence length, rhythm, jargon and opener repetition.

  • Voice tolerance

    Thresholds set per channel rather than one standard for all copy.

Questions this page usually raises

Can writing quality be scored automatically?
Parts of it can: claim sourcing, structure, clarity measures. Accuracy and voice need a reader who knows the domain and the brand.
What is the most common failure in generated copy?
Unsourced confidence: specific numbers and absolutes presented without anything behind them, written in the same register as verified facts.
How do we stop scores drifting upward meaninglessly?
Track findings by class rather than totals, and review the rule set quarterly. A score that rises while the rules shrink is not an improvement.
Should every page get a human read?
No. Route by consequence: regulated claims, contractual terms and anything with a company byline get named sign-off; the long tail ships with a report.
Does the quality check require an upload?
No. The analysis runs in your browser against pasted text, and a report is stored only if you save it deliberately.

AI writing quality check

Run the checks, then decide who has 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.