OpenAI is rolling out a new "Writing Style" feature for ChatGPT that learns to replicate how you personally write by analyzing text from your connected apps like Gmail, Slack, and Google Drive. The feature is currently in testing with a small group of users and could eliminate the need to repeatedly specify tone or paste previous examples into the chatbot.

How Does ChatGPT's Writing Style Feature Work?

The setup process is straightforward. When users enable Writing Style, ChatGPT asks them to provide writing examples from three categories: messages, documents, and emails. OpenAI recommends connecting services like Slack, Google Drive, Notion, and Gmail to give the AI access to real-world samples of how you actually communicate.

Once configured, ChatGPT analyzes these examples to understand your typical tone, vocabulary, sentence structure, and communication patterns. The system can then apply these learned preferences when generating new text, whether you're drafting an email, a Slack message, or a longer document. This means you won't need to manually adjust the tone each time or paste previous examples as reference material.

What Makes OpenAI's Approach Different From Competitors?

OpenAI's Writing Style feature shares similarities with Anthropic's "Styles" feature, which allows users to upload or paste their own text examples for personalized responses. However, OpenAI's version has a significant advantage: it can directly access texts already stored in your connected services. This gives ChatGPT access to far more real-world writing samples than users would typically paste manually, potentially resulting in more accurate and nuanced style replication.

The ability to tap into existing documents, emails, and messages means the AI has a richer dataset to learn from. Instead of relying on a handful of examples a user remembers to provide, ChatGPT can analyze patterns across hundreds or thousands of your actual communications.

Steps to Set Up ChatGPT's Writing Style Feature

• Connect Your Apps: Link services where you regularly write, such as Gmail for emails, Slack for messages, Google Drive for documents, or Notion for notes and longer-form content.
• Provide Writing Samples: Allow ChatGPT to analyze examples from the three categories: messages, documents, and emails. The more samples you provide, the better the AI can learn your unique voice.
• Let ChatGPT Learn Your Style: Once configured, the system will apply your learned writing patterns automatically when you ask it to generate text, without requiring you to specify tone or paste reference examples each time.

When Will This Feature Be Available to Everyone?

OpenAI has confirmed it is actively testing the Writing Style feature, but the company has not yet announced when it will roll out to a wider audience. The feature is currently limited to a small group of beta testers, so most ChatGPT users will need to wait for a broader release.

This announcement comes as OpenAI continues to expand ChatGPT's capabilities across multiple platforms. The company recently launched a standalone ChatGPT desktop app for Linux, with a preview version becoming available worldwide in August 2026. The macOS version of the desktop app now includes a "Computer History" feature that uses your actions as training data to build a timeline that ChatGPT can reference during queries, helping the AI learn how you work and suggest automations.

Why This Matters for ChatGPT Users

The Writing Style feature addresses a common frustration with AI chatbots: they often sound generic or require extensive prompting to match a user's preferred tone. By automating style replication, OpenAI is making ChatGPT feel more personalized and reducing the friction of using the tool for professional communication. For professionals who rely on ChatGPT for drafting emails, reports, or messages, this feature could save time and ensure consistency across all written output.

The feature also reflects a broader trend in AI development toward personalization. As large language models become more capable, companies are increasingly focused on making them adapt to individual users rather than forcing users to adapt to the AI. OpenAI's approach of tapping into existing connected services is a practical way to gather the data needed for this personalization without requiring users to manually upload samples.