Review AI content before polishing the sentences
Check the reader decision, sources, and founder voice before copy edits. Use a review order that catches unsupported ideas and still checks the writing.
The short version
- Review purpose and evidence before polishing sentences. The same order applies to human-written and AI-assisted drafts.
- Keep observations, recommendations, and promised outcomes separate. Open the source behind a material claim.
- Give a specific revision instruction, explain why it matters, and show what a corrected passage must establish.
- A strategic review does not replace sentence edits, link checks, or the final publication decision.
An AI draft can have clean sentences and the wrong argument. Before fixing the commas, identify the buyer decision it should help with and the evidence available to support it. Then review the founder’s voice and the writing itself.
I want that order because a sentence edit can’t repair an unsupported promise. It can make the promise easier to believe. This applies to any draft, including one written by a capable person whose brief was wrong.
What should the first read establish?
The first read should establish what the piece is trying to do. Write its intended reader, question, and useful next action beside the draft. If the article’s argument differs from that brief, decide which one needs to change before commenting line by line.
For a small B2B software company, a comparison page might need to explain when its product fits a specific workflow. A founder post might need to explain a decision they actually made. Those are different jobs, even when both drafts mention the same feature.
Will Larson’s document-feedback method begins with a structural skim, then a reread with meaningful concerns. The point is to understand what the document covers before criticizing a topic answered elsewhere. It’s not permission to skip copy edits or trust every strategic choice.
Resolve the argument before polishing it. If a post describes an opinion the founder doesn’t hold, return to the source conversation. If a comparison uses the wrong alternative, return to the brief. A more conversational sentence won’t solve either problem.
How do you check the claims?
Open the evidence behind each material claim. Read the part supporting the sentence, rather than treating a familiar publication or a working URL as sufficient proof. Record the relevant passage, date, and limit in the source notes.
Separate what was observed from what is recommended. A user reporting that a feature helped them doesn’t establish that all users improve. A provider documenting a capability doesn’t establish that your implementation has it enabled.
Google’s helpful-content guidance asks about clear sourcing, original value, and easily verified errors. For the reviewer, that becomes a concrete task: inspect the claim and the source together before deciding whether the line can stay.
When evidence is missing, there are several honest edits. Remove the claim, narrow it to what is documented, or turn the unresolved part into a question the article examines. Don’t solve a weak source with a stronger adjective.
The customer-transcript method shows how a ledger can preserve a speaker’s words and uncertainty. Apply the same discipline to product notes, research, and the founder’s own examples.
What does useful revision feedback look like?
Useful feedback identifies the faulty decision and the required change. A vague request to make a paragraph sharper leaves the writer guessing whether you mean its argument, evidence, tone, or length.
Use a comment with three parts: the concern, why it matters to this reader, and the evidence or behavior the revision must show. Mark whether it blocks publication or is a preference. Keep repeated comments together so the writer can see the underlying issue.
Constructed teaching example. An illustrative draft says a handoff tool prevents missed assignments. The supplied feature note only establishes an owner field and a notification. No customer result is available. The revision should explain what the owner field records and when the notification fires. It should remove the prevention promise.
The resulting paragraph still needs a sentence review. Check whether the reader understands which person receives the notice, what happens if nobody is assigned, and what the product does after delivery fails. Accurate nouns can coexist with confusing prose.
| Review layer | A reason to stop | The useful correction |
|---|---|---|
| Purpose | The piece answers a different buyer question | Change the brief or the argument |
| Evidence | A claim exceeds its source | Narrow, remove, or investigate it |
| Voice | A belief is assigned to the founder without support | Ask for the actual view and wording |
| Mechanics | Links, grammar, or page behavior are wrong | Fix and inspect the final version |
How do you assess voice and readable copy?
Read the draft alongside permitted voice samples and the founder’s source ideas. Look for recognizable decisions and language, rather than a repeated set of catchphrases. If the draft is technically accurate but could belong to anyone, identify which missing opinion would make the explanation theirs.
Sentence work comes next. Remove ambiguity, inflated phrases, unnecessary repetition, and transitions that interrupt the explanation. Read important passages aloud. Check whether pronouns have clear referents and whether the reader can follow the action without rereading.
OpenAI’s evaluation guidance recommends combining task-specific tests with human judgment. For writing, the review needs the person who knows the topic and the person whose voice the piece represents. An automated checklist can’t settle taste or establish a missing fact.
Keep the voice decision record aligned with those verified ideas and wording. Track recurring corrections in the next brief. If every draft invents a stronger outcome, tighten the evidence boundary. If every opening sounds unlike the founder, add a source example and explain the decision behind it. These are changes to an AI content workflow, not proof that any particular model writes well without supervision.
What happens after the review?
The initial questions establish whether revision should address the brief, sources, voice, or sentences. Passing them isn’t an automatic instruction to publish. Inspect the final copy, links, names, and relevant page behavior, and complete the required publication review.
On your next draft, write one blocking comment that names the wrong decision and the evidence needed to fix it. Then make the sentence edits the corrected passage still needs. If you want that writing and review handled from your ideas and voice, Founder-Led Content covers the work alongside LinkedIn scheduling, posting, and reporting.