The Complete Editing Checklist for AI-Generated Content

Using AI to draft content isn't the problem most people think it is. Publishing that draft without editing it is. Here's a checklist to work through before anything AI-assisted goes out the door — organized in the order that actually saves the most time.

Step 1: Verify facts and claims first

Do this before anything else, because there's no point polishing the prose of a paragraph you're about to delete. Language models can state incorrect facts, outdated statistics, or plausible-sounding claims with no basis, all with complete confidence.

• Check every specific number, date, and statistic against a real source
• Verify any named studies, tools, or products actually exist and work as described
• Confirm quotes are real and correctly attributed
• Flag anything you can't verify and either cut it or replace it with something you can stand behind

Step 2: Check the structure at a glance

Before you edit line by line, look at the piece from a distance.

• Does every section follow the exact same shape (topic sentence, three supporting sentences, summary sentence)? If so, break the pattern in at least two places.
• Is space allocated evenly across sections regardless of importance? Give more room to what actually matters and cut what doesn't.
• Does the conclusion just restate the introduction? Replace it with an actual takeaway, a next step, or a specific implication.

Step 3: Fix sentence rhythm

Read the piece out loud, or use a text-to-speech tool if reading aloud isn't practical. Listen for a monotone rhythm — sentence after sentence landing at a similar length.

• Break up any run of three or more similarly-structured sentences
• Combine short, choppy sentences where they'd flow better as one
• Let at least a few sentences run short — five or six words is fine if that's all a point needs

For a deeper dive on exactly what to listen for, see why AI writing sounds robotic.

Step 4: Hunt for filler and hedging

Search your draft for these specific culprits: "it's important to note," "in today's world," "when it comes to," "can potentially," "a testament to." Every one you find is very likely deletable, or replaceable with a more direct statement.

Our full list of the 15 words and phrases that give away AI writing is a good reference to keep open while you do this pass.

Step 5: Replace generic claims with specifics

Anywhere the draft makes a claim that could apply to almost any company, product, or situation, replace it with something concrete — a number, a named example, a specific scenario. This single change does more for "human" voice than any other edit on this list, because specificity is expensive to fake and cheap to verify.

Step 6: Read for voice consistency — or the lack of it

Ironically, you want to break consistency here. A single even tone from start to finish is a signature of AI generation. Let your tone shift naturally with the content: more direct when you're confident, more careful when you're covering a genuine risk or uncertainty.

Step 7: Don't over-polish the final pass

This is the step people skip because it feels backwards: resist the urge to smooth every remaining sentence into maximum cleanliness. A little natural roughness — a sentence that runs slightly long, a repeated word two paragraphs apart — reads as more human than mechanically even prose, as long as it doesn't hurt clarity.

Step 8: Read it once more as a stranger

Before publishing, read the whole piece as if you'd never seen it — not as the writer or editor, but as someone encountering it cold. Does every sentence sound like something a person would actually say? If a sentence makes you wince, that's the one to fix last, and it's usually the most important fix on the page.

A faster starting point

Working through all eight steps by hand on every draft adds up fast if you publish regularly. Our Text Humanizer handles steps 3 through 6 automatically — rewriting for sentence rhythm, cutting hedging filler, and adding specificity — so you can spend your own editing time on steps 1, 2, 7, and 8, which are the ones that genuinely need a human judgment call.

Where drafts actually fail

Working through this checklist on a lot of drafts, the failures cluster in a few places, and they are not the ones people expect. Prose quality is rarely the real problem.

Fabricated specifics are the expensive one. A statistic with no source, a study that does not exist, a quote nobody said, a feature a product does not have. These read exactly like verified claims, because fluency is uniform across true and false statements. This is why step 1 comes first and why it is non-negotiable — a beautifully edited article with an invented figure is worse than a rough one without.

A practical rule: every number, date, proper noun, and citation gets checked against a source you personally open. If you cannot verify it, cut it. "I could not confirm this" is not a reason to keep it in softer language.

The draft has no argument. Frequently a draft covers a topic thoroughly and claims nothing. It surveys, balances, and concludes that the matter is complex. No amount of line editing fixes this, and time spent polishing it is wasted. If you cannot state the piece's claim in one sentence, go back to the outline.

Everything is general. The draft says organisations should improve communication. It does not say what your team tried, what it cost, or what broke. Specificity is the single highest-value addition available and it is the one thing no tool can supply, because it requires knowing something.

The middle sags. Openings and closings get attention; section three does not. Read the middle of a draft on its own and it is often where the padding lives.

Verifying facts efficiently

Step 1 is the one people skip because it feels slow. It gets much faster with a method.

Mark before you check. Read once and highlight every checkable claim — numbers, dates, names, citations, technical assertions. Do not verify as you read; you will lose the thread. Then work the list.

Sort by cost of being wrong. A misattributed quote or a wrong statistic in a headline claim does real damage. A rounded figure in an aside does less. Spend your time proportionally.

Go to the primary source. Models routinely cite a real paper for a claim it does not make. Finding that the paper exists is not verification; the claim has to be in it.

Treat confident specificity as a warning. "A 2023 Stanford study found that 47% of..." is precisely the shape of a fabricated citation. Real recalled facts are usually vaguer at the edges.

Brief for gaps next time. Asking a model to write "[NEEDED]" wherever a figure would go, rather than producing one, converts this whole pass into filling blanks. It is the single most useful instruction in a drafting brief — see how to brief an AI so the first draft is worth editing.

Knowing when to stop

Editing has a point of diminishing returns and a point past which you make things worse.

Signs you are done: you are changing words back to earlier versions, the changes are preference rather than improvement, and reading it aloud produces no stumbles. Signs you have gone too far: the prose is uniformly smooth in a way that has flattened emphasis, and every sentence has been worked until none stands out.

A useful stopping rule — the piece is finished when it makes one claim you could be wrong about, every fact traces to a source, and reading it aloud produces no stumbles. Everything after that is fiddling.

A note on the tool

Our Text Humanizer handles steps 3 through 6 — the rhythm, filler, and phrasing layer — which is the mechanical part. It is worth being clear that this is also the least important part of the checklist.

Steps 1, 2, 7, and 8 are where drafts are actually saved or lost: verification, structure, specificity, and the final read as a stranger. Those need judgement and knowledge that a rewriting tool does not have. If you only have twenty minutes, spend them on step 1 and skip the polish.