How to rewrite AI product updates without hype
By GPTHumanizer · Writing guide
A product update should help readers decide whether something has changed for them and what, if anything, they can do next. An AI-assisted draft can sound polished while making a limited preview seem available to everyone or turning a possible feature into a promised release. Edit the wording after you identify the actual release state. The examples below describe fictional products and were edited by hand; they are not GPTHumanizer features, customer announcements or measured tool outputs.
1. Capture the release facts before improving the tone
Keep the approved release note, rollout record or product decision beside the draft. A rewriting tool cannot supply missing release facts. If the source only says “the preview,” confirm what it previews before describing its purpose.
Swipe across to read all columns.
| Record | Capture from the source | Preserve in the rewrite |
|---|---|---|
| Change and purpose | Capability and current status | Available, rolling out or proposed |
| Audience | Eligible plans, roles and groups | Eligibility and stated exclusions |
| Timing | Start, completion or no confirmed date | The same date and milestone |
| Activation | Automatic change or reader action | Actual steps or notices, with exact labels |
| Limits | Unavailable or unchanged behavior | Limits that affect the reader |
| Future claims | Commitment, plan or exploration | The same degree of certainty |
| Evidence | Supporting source and missing facts | Unknowns stay unknown until confirmed |
Lead with the change and audience. Remove empty praise, but do not replace it with invented specificity: a performance figure needs evidence even when it sounds more useful than “a major improvement.”
2. Available to the eligible group does not mean automatically changed
In this fictional update, every workspace owner on a paid plan can use the feature, but saved views require manual creation.
Available, with manual creation
Original draft
We are pleased to share that saved views let workspace owners store a combination of board filters for later use. Starting 15 September 2026, saved views are available to all workspace owners on paid plans. To create one, open Filters on the board and select Save view. Existing board views are unchanged, and no saved view is created automatically.
Edited example
All workspace owners on paid plans can use saved views from 15 September 2026. Saved views store a combination of board filters for later use. To create one, open Filters on the board and select Save view. Existing board views are unchanged, and no saved view is created automatically.
The edit leads with the audience and date. It keeps the supplied purpose, plan and role restrictions, exact labels, unchanged views and manual creation.
Meaning-changing edit: “Saved views are now switched on for everyone, with your board filters saved automatically.” This broadens access and invents an automatic change. Omitting the plan or role restriction from the headline can also mislead.
3. A rollout starting is not a rollout finishing
This fictional automatic rollout has started. The source does not identify every enabled workspace or give a completion date.
Before and after: an editing example
Original draft
Daily digest sends a summary of tasks due that day. We are enabling it automatically for Team-plan workspaces in batches. The first batch started on 15 September 2026. A workspace will receive an in-app notice when its digest is enabled. We have not announced when every eligible workspace will have access.
Edited example
We are enabling daily digest automatically for Team-plan workspaces in batches; the first batch started on 15 September 2026. It sends a summary of tasks due that day. A workspace will receive an in-app notice when its digest is enabled. We have not announced when every eligible workspace will have access.
The edit preserves purpose and rollout state. Eligibility alone does not confirm that a workspace is already enabled. The source specifies an in-app notice; it supplies no setting, enrollment form or support request.
Opens the original draft for you to edit. Sign in when you choose to rewrite; new accounts receive 100 words. If you already have a saved draft, we’ll keep it.
Meaning-changing edit: “Every Team workspace has daily digest today. Turn it on in Settings.” This invents completed access and a manual step. “Everyone will have it next week” would add an unsupported completion promise.
Keep “in batches” or equally precise wording in shorter posts. A link to the release note does not repair a misleading announcement.
4. A proposal is not an upcoming release
This fictional team wants feedback on a proposed capability. It has not committed to building it, which is different from simply having no published date.
Uncommitted proposal
Original draft
We are exploring an offline editing mode. The proposed mode would let people edit draft notes without a connection and sync them after reconnecting. It is not available to any users. We have not committed to building it or set a release date. We are collecting feedback on the proposal through the existing feedback form.
Edited example
We are collecting feedback on a proposed offline editing mode through the existing feedback form. It would let people edit draft notes without a connection and sync them after reconnecting. The mode is not available to any users. We have not committed to building it or set a release date.
The edit leads with the feedback request. Capability remains conditional; no access, build commitment or date is added. The feedback form comes from the source; its actual destination still needs checking before publication.
Meaning-changing edit: “Offline editing is coming soon. Join the waitlist for early access.” This invents a release commitment and a waitlist. Even “our next feature” implies a decision the source says has not been made.
5. Review the headline and next step as a reader
Read as an eligible user, an excluded user and someone eligible but still waiting. Would each understand their access? Check that the headline preserves the audience and distinguishes a rollout start from completion.
Match the next step to the state: the supplied activation action, the stated rollout notice or the proposal's feedback request. Do not add registration, discounts, migration requirements or contact promises absent from the source.
Recheck facts when reusing an update. An old “today” may be unclear, and remembered plans may not match the actual rollout. Confirm missing dates, roles and purposes instead of completing them from memory.
For a detailed procedure after readers have access, use the software-instruction worksheet.
For broader differences between a possibility and a promise, see how to preserve meaning in an AI rewrite.
6. Use the humanizer for a wording suggestion
The example button loads the fictional daily-digest draft with Standard tone. Loading does not rewrite or publish it. Rewriting requires sign-in and a word allowance; new accounts receive 100 words. These manual examples do not promise particular tool results.
Remove private details the edit does not need. Compare the suggestion with your fact sheet. GPTHumanizer does not verify rollout state, establish that a feature exists or publish to social accounts. You check the facts and choose where to use the text.
Your final review
- Purpose and release status match the source.
- Eligible plans, roles and groups remain accurate.
- Start dates and completion dates remain distinct.
- Automatic and manual actions have not been exchanged.
- Relevant limits and unchanged behavior remain visible.
- Proposals and unknown dates have not become promises.
- Headline, body and next step describe the same state.
- The publisher has checked links and every added claim.