This prompt analyzes any text and tells you exactly how someone writes.

What it does:

• Shows if they write formally or casually
• Identifies their emotional tone
• Reveals formatting preferences
• Creates a guide to match their style

✅ Best Start: After pasting the prompt, share some writing to analyse:

• Emails
• Messages
• Articles
• Any text sample

Paste the text – get a breakdown of how they write and how to match it.

Prompt:

# STYLE ANALYSIS FRAMEWORK Extract the user's writing style following the framework: ### 1. Communication Pattern Analysis Language Style: [Formal/Casual/Mixed] Typical Response Length: [Brief/Medium/Detailed] Syntax Preferences: - Sentence Structure: [Simple/Complex/Mixed] - Paragraph Format: [Short/Long/Bulleted/Mixed] - Special Characters: [Emojis/Formatting/Symbols used] ### 2. Tone Mapping Primary Tone: [Professional/Friendly/Academic/etc.] Secondary Tones: [List observed alternative tones] Emotional Expression: - Level of Formality: [Scale 1-5] - Emotional Openness: [Scale 1-5] - Use of Humor: [Frequency and Type] ### 3. Interaction Patterns Response Types: - Question Frequency: [High/Medium/Low] - Follow-up Style: [Direct/Open-ended/Mixed] - Engagement Level: [Deep/Surface/Variable] ### 4. Content Structure Formatting Preferences: - List Usage: [Frequency and Style] - Code Block Usage: [When and How] - Section Breaks: [Style and Frequency] - Emphasis Methods: [Bold/Italic/Both/None] ### 5. Vocabulary Profile Word Choice: - Technical Level: [Basic/Intermediate/Advanced] - Jargon Usage: [Frequency and Type] - Common Phrases: [List recurring expressions] ## Output Format After analysing the provided content, generate a style profile: ### Style Summary Brief overview of the most distinctive communication patterns ### Key Characteristics 1. [Primary style feature] 2. [Secondary style feature] 3. [Tertiary style feature] ### Pattern Examples Original: [Quote example from provided content] Pattern: [Explain pattern demonstrated] ### Style Recommendations Suggested approaches for matching their style: 1. [Primary recommendation] 2. [Secondary recommendation] 3. [Tertiary recommendation] ### Integration Notes How to apply this style to responses: - Tone Matching: [Specific guidance] - Structure Matching: [Specific guidance] - Vocabulary Matching: [Specific guidance] Remember: 1. Focus on consistent patterns, not one-off instances 2. Note both explicit and implicit style elements 3. Consider context variations in style 4. Identify adaptive patterns based on content type 5. Look for unique style markers 6. Provide user STYLE ANALYSIS in markdown codeblock First response protocol: Ask the user to paste their writing content to run it through this analysis. To ensure it matches the user's natural communication style. 

Example output:

## STYLE ANALYSIS ### 1. Communication Pattern Analysis **Language Style:** Mixed (combines casual language with elements of semi-formal discussion) **Typical Response Length:** Detailed (several paragraphs with in-depth explanations) **Syntax Preferences:** - **Sentence Structure:** Mixed (both straightforward and more complex, with rhetorical questions and descriptive clauses) - **Paragraph Format:** Short but multiple paragraphs (occasionally separated by bold headers) - **Special Characters:** High usage of emojis (🌱, ⚡, 🚀, etc.), bold formatting, and stylized text (𝗯𝗼𝗹𝗱 𝗳𝗼𝗻𝘁) ### 2. Tone Mapping **Primary Tone:** Friendly/informative (enthusiastic and approachable) **Secondary Tones:** - Curious/Exploratory (posing open-ended questions) - Slightly Persuasive (encouraging thoughts on Bitcoin’s future) **Emotional Expression:** - **Level of Formality (1-5):** 2 (more casual than formal) - **Emotional Openness (1-5):** 4 (uses personal opinions, emotive language, and engages reader sentiment) - **Use of Humor:** Moderate frequency, playful analogies and rhetorical comparisons (e.g., “It’s like trying to drive a gas-guzzling SUV in a world that’s going electric.”) ### 3. Interaction Patterns **Response Types:** - **Question Frequency:** High (many rhetorical and direct questions to engage readers) - **Follow-up Style:** Open-ended (invites audience to share thoughts and predictions) - **Engagement Level:** Deep (delves into reasoning, environmental implications, and future possibilities) ### 4. Content Structure **Formatting Preferences:** - **List Usage:** Minimal (relies more on paragraphs and headings than bullet points) - **Code Block Usage:** None (no code segments; text-based emphasis instead) - **Section Breaks:** Frequent, using bold headers for topic shifts - **Emphasis Methods:** Primarily bold formatting, extensive use of emojis and stylized text ### 5. Vocabulary Profile **Word Choice:** - **Technical Level:** Intermediate (uses specific crypto terminology without diving too deeply into advanced technicalities) - **Jargon Usage:** Moderate (proof-of-work, proof-of-stake, scalability, consensus mechanism) - **Common Phrases:** “king of crypto,” “massive energy consumption,” “eco-friendly,” “green cryptos,” rhetorical questions like “Will Bitcoin adapt?” --- ## Style Summary The content is highly engaging, blending a casual, enthusiastic tone with intermediate-level cryptocurrency jargon. It uses frequent emojis, bold section headers, and open-ended questions to invite reader interaction. The style is distinctively dynamic, leaning on metaphors and rhetorical devices to make the discussion more relatable. --- ## Key Characteristics 1. **Enthusiastic Engagement** – Heavy use of questions and emojis to draw in readers. 2. **Informal Yet Informed** – Mix of friendly, casual language with moderately technical crypto terms. 3. **Sectioned Narration** – Reliance on bold headers and short paragraphs for readability. --- ## Pattern Examples **Original:** > “It’s like trying to drive a gas-guzzling SUV in a world that’s going electric.” **Pattern:** - Vivid analogy comparing Bitcoin’s energy consumption to a dated, high-emission vehicle in an eco-conscious world. This demonstrates the user’s tendency toward playful metaphors to emphasize points. --- ## Style Recommendations 1. **Maintain Conversational Warmth** – Continue using direct reader addresses (e.g., “What do you think?”) and inclusive language (“We all know...”). 2. **Use Energetic Visual Cues** – Keep incorporating emojis and bold section titles to highlight key points and maintain interest. 3. **Blend Casual & Technical** – Provide accessible explanations for complex concepts (like proof-of-stake) while using everyday language and relatable examples. --- ## Integration Notes To apply this style in responses: - **Tone Matching:** Lean on a friendly, open voice that invites conversation. Use rhetorical questions and personal pronouns to encourage reader reflection. - **Structure Matching:** Use bold headings or short sections, combined with emojis or symbols to delineate major points. Keep paragraphs succinct yet descriptive. - **Vocabulary Matching:** Stick to intermediate-level crypto terminology, explaining concepts briefly while avoiding overly technical jargon. Incorporate casual turns of phrase to stay approachable. 

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Track development: https://www.reddit.com/user/Kai_ThoughtArchitect/

[Build: TA-231115]

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