Writing Style

Build a Reusable Personal Writing Style for Email and Chat

By Mr. Balu 0 copies 3 views
Prompt
113 words
Analyze only messages I authored in my connected sent email and work chat from the last 12 months. Exclude forwarded material, quoted replies, automated messages, calendar responses, copied newsletter text, and anything written by someone else. Analyze email and chat separately for tone, sentence structure, vocabulary, formatting, level of detail, recurring patterns, and how the style changes by context. Create a concise reusable writing profile for each channel, using anonymized composite examples rather than exposing real names or private text. Then rewrite the same neutral request in my email voice and my chat voice, explain the differences, and give me a correction checklist. Do not save or auto-apply the profiles until I approve them.
Optimized For
ChatGPT Claude Gemini
Tags
Branding Communication Email Messaging Productivity Tone Voice Workflow Writing

Analyze Your Personal Writing Style Across Email and Chat

Extracting your personal writing style allows AI models to mirror your exact communication voice across professional tools. This prompt audits your sent emails and work chats from the past year to build channel-specific voice profiles. You get custom tone guidelines, formatting rules, and tailored rewriting benchmarks without manually training a custom model.

The prompt isolates original text by filtering out forwarded threads, automated notifications, and quoted replies. It analyzes email and chat independently to capture structural nuances, vocabulary preferences, and formatting habits. A built-in privacy guard ensures real names and sensitive details stay protected through anonymized composite examples. The system then outputs a channel-by-channel profile, sample rewrites, and an actionable revision checklist before saving any preferences.

This prompt is perfect for:

  • Standardizing executive communication across Gmail and Slack to maintain consistent tone during team expansions.
  • Drafting routine client updates in Google Docs that match your established voice without starting from scratch.
  • Onboarding an executive assistant or copywriter using a concrete style guide backed by historical chat and email data.

Applying this framework turns inconsistent draft generation into an authentic, repeatable workflow. Copy the prompt today and adjust the time window or channel settings to fit your preferred platforms.

Pro Tip: Large language models often default to overly formal tone descriptions when analyzing text history. To get sharper results, paste five to ten representative text samples directly into the chat session if your AI assistant lacks a live inbox integration.

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WorkflowBrandingEmailProductivityCommunicationMessagingToneVoice