“Make it sound human” leaves the important editing decisions undefined. Who is reading? What do they need to know? Which facts must stay exact? What can the writer promise? Without that context, a rewrite can become smoother while becoming less accurate.
A more useful editing request names the reader, purpose, voice and factual boundaries. Then it checks the revision against the source before anyone publishes it.
Write an editing brief
Supply six things: reader, desired next step, source text, voice reference, length, and claims that must remain unchanged. A voice reference can be a short piece of your own writing that you are allowed to use. If you have no sample, specify concrete traits such as direct sentences and familiar vocabulary.
Avoid goals such as “undetectable” or “viral” when the actual need is a clear customer update. Those goals do not tell the editor what information the reader needs or what is true.
Extract the facts before changing the tone
Consider this fictional source:
Staging tests found missing labels on some exported rows. A patch is under review. No production release date has been approved. Existing dashboards remain available.
The facts include the staging context, missing labels, review status and dashboard availability. The absence of an approved date is also meaningful. It should not vanish when the rewrite becomes shorter.
An invented “great news” version might say the export is fixed and will launch Friday. That is not a warmer version of the source. It describes a different situation.
Use a prompt with observable constraints
Edit the source for existing customers who need a clear status update.
Use direct, warm language in no more than 65 words. Preserve every
factual claim and uncertainty. Do not add dates, benefits, guarantees,
or explanations that are absent from the source. Return the revised
paragraph, then a separate audit of added, removed or changed claims.
An acceptable authored illustration is:
Staging tests found missing labels on some exported rows. A patch is under review, and no production release date has been approved. Existing dashboards remain available. We’ll share timing after review.
The final sentence is appropriate only if the original source also commits to sharing timing after review. If it does not, remove that sentence. Even a reassuring, reasonable addition needs a source when you are writing on behalf of a business.
Check meaning separately from style
Compare claims, not just similar words. “Under review” becoming “almost ready” strengthens the claim. “Some rows lack labels” becoming “data is missing” changes its meaning. “Dashboards remain available” becoming “everything works normally” expands it beyond the source.
Use a short audit table:
| Check | Pass condition |
|---|---|
| Status | Proposed work is not described as completed |
| Dates | No deadline appears without a source |
| Scope | Limited statements do not become universal claims |
| Uncertainty | Unknowns remain visible |
| Length | Important facts survive the word limit |
The model can help build this table, but you still need to inspect the source. A self-generated “no factual changes” label is not evidence on its own.
Repair the specific failure
If the result is generic, point to a sentence and explain what is wrong: vague opening, unnecessary enthusiasm, missing action, or vocabulary you would not use. If it invents facts, ask it to identify every unsupported claim and remove those claims before revising the style again.
If the word limit is too restrictive, decide which details may be omitted or increase the limit. Do not let the model silently remove uncertainty to make a paragraph fit.
Keep your editing brief and factual checklist together for the next draft. Our Claude Work Kit includes an editable version, a fictional exercise and repair tests. You can inspect the same six-file format in the complete free meeting workflow.
FAQ
Is a voice sample enough to get a good edit?
It helps define style, but it does not establish which facts and commitments must survive. Supply the source and factual constraints as well.
Should I trust the model's factual-change list?
Use it as a review aid. Check the actual revised text against the source before publishing or sending it.