ChatGPT Work is introducing a writing style feature that can recognise patterns in how someone writes and carry them into new drafts. In a post, @ChatGPT says the feature can pick up details such as favourite phrases, distinctive sign-offs and capitalisation quirks from a user’s existing work.

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How ChatGPT Work learns a writing style

The feature uses examples from connected workplace apps, according to the announcement. The named sources include Gmail, Google Drive, Slack and SharePoint, covering emails, messages and files that can show how a person normally communicates.

That means the focus is not only on broad preferences such as “make this sound professional”. The examples described by the announcement are smaller, recognisable habits that can make writing feel more personal: the expressions someone regularly uses, how they close a message, or whether they follow particular capitalisation patterns.

The attached setup screen shows a “Set up writing style” flow. It presents separate areas for messaging, documents and email, with visible connection states and a final “Use writing style” control. The screenshot shows Slack as a connected messaging app and Google Drive as a connected document app, while email has a setup option. These visuals indicate the available setup categories shown in the source, but they do not establish that every account has the same connections or functionality.

Where the style can be used

The announcement says the learned style can carry into whatever the user writes next, including emails, messages and documents. The screenshot illustrates that idea with a request to draft a Slack update and a generated message about a writing-style launch. It provides a practical example of using the feature for a team update rather than simply describing the settings.

The feature is therefore positioned as a way to reduce the amount of style guidance a user has to repeat when asking for a draft. However, the source does not provide complete setup instructions, account requirements, availability details or a guarantee that every draft will reproduce a user’s voice perfectly.