Natural Text Corrector

Natural Text Corrector

Purpose

This skill corrects English text from any source - AI-generated content, speech-to-text transcriptions, or human-written text with errors. It applies intelligent, context-aware corrections while preserving the author's original meaning, tone, and voice.

Core Correction Types

1. AI Pattern Removal ("De-AI-ifying")

Excessive Em Dashes (—)

• AI models overuse em dashes where humans use commas, parentheses, or colons
• Replace with appropriate punctuation based on sentence flow
• Example: "The project—which started last year—has been successful" → "The project, which started last year, has been successful"

Formal/Stilted Phrases

• "It is important to note that" → "Note that" or remove entirely
• "One must consider" → "Consider" or "Think about"
• "In light of this information" → "So" or "Therefore"
• "It is worth mentioning" → "Also" or integrate naturally
• "As a matter of fact" → "In fact" or "Actually"

Rule of Three Overuse

• AI creates artificial comprehensiveness with "adjective, adjective, adjective" patterns
• Simplify to natural expression: "innovative, groundbreaking, transformative solution" → "innovative solution"

Generic Transitions

• "Furthermore," "Moreover," "Additionally," at start of consecutive sentences
• Vary with natural flow or remove when unnecessary

2. Speech-to-Text Error Correction

Homophone Disambiguation (Context-Based)

• their/there/they're - analyze sentence structure and possessives
• to/too/two - check for direction, excess, or counting
• your/you're - possessive vs. contraction
• its/it's - possessive vs. "it is"
• hear/here - auditory vs. location
• weather/whether - conditions vs. choice
• affect/effect - verb vs. noun (usually)
• then/than - sequence vs. comparison

Missing Punctuation

• Add periods for sentence boundaries in run-ons
• Insert commas for natural pauses and clarity
• Add question marks for interrogative sentences
• Fix missing apostrophes in contractions

Capitalization

• Proper nouns, sentence starts, "I"
• Remove unnecessary mid-sentence capitals (unless proper nouns)

Run-on Sentences

• Split lengthy, unclear sentences
• Maintain natural speaking rhythm where appropriate

3. Natural Flow Improvements

Sentence Variety

• Mix short and long sentences for rhythm
• Avoid starting multiple consecutive sentences the same way
• Vary sentence structures (simple, compound, complex)

Word Choice

• Replace overly formal words in casual contexts
• Remove redundancies ("past history" → "history")
• Simplify complex constructions when simpler is clearer

Paragraph Structure

• Ensure logical flow between ideas
• Add transitions only when needed for clarity

Correction Process

When correcting text, follow this approach:

1. Read for Context: Understand the overall tone, audience, and purpose before making changes

2. Identify Error Types: Scan for AI patterns, speech-to-text errors, and flow issues

3. Apply Contextual Fixes:

   • For homophones: Check surrounding words and sentence meaning
   • For punctuation: Consider natural pauses and clarity
   • For AI patterns: Replace with how a human would naturally express it

4. Preserve Voice:

   • Keep the author's personality and style
   • Maintain technical terms and jargon when appropriate
   • Don't over-polish informal or conversational text

5. One-Pass Correction: Apply all fixes in a single pass, showing the corrected version

Examples

Example 1: AI-Generated Text

Before:

It is important to note that our innovative, groundbreaking, transformative solution—which leverages cutting-edge technology—provides comprehensive, robust, scalable functionality. Moreover, it is worth mentioning that the platform delivers exceptional results. Furthermore, one must consider the significant impact on operational efficiency.

After:

Note that our innovative solution leverages cutting-edge technology to provide scalable functionality. The platform delivers exceptional results and significantly impacts operational efficiency.

Example 2: Speech-to-Text Transcription

Before:

so i was thinking about there presentation and weather or not they should include more data too make it clear your right that its important but i dont no if thats the write approach hear

After:

So I was thinking about their presentation and whether or not they should include more data to make it clear. You're right that it's important, but I don't know if that's the right approach here.

Example 3: Mixed Errors (AI + Speech-to-text)

Before:

It is important to note that—when considering there approach—one must acknowledge the innovative, comprehensive, transformative nature of the solution and weather its going too meet they're needs

After:

When considering their approach, acknowledge the innovative nature of the solution and whether it's going to meet their needs.

Example 4: Run-on Sentence from Speech

Before:

we went to the store and bought some groceries and then we went home and made dinner and after that we watched a movie it was really good

After:

We went to the store and bought some groceries. Then we went home and made dinner. After that, we watched a movie. It was really good.

Example 5: Excessive Formality

Before:

As a matter of fact, in light of the aforementioned circumstances, one must endeavor to ascertain the optimal course of action. It is imperative that we proceed with utmost caution.

After:

Given these circumstances, we need to figure out the best course of action. We should proceed carefully.

Example 6: Technical Content (Preserve Jargon)

Before:

It is important to note that the API endpoint—which utilizes REST architecture—returns a JSON payload. Moreover, the authentication mechanism implements OAuth 2.0 protocol.

After:

The API endpoint utilizes REST architecture and returns a JSON payload. The authentication mechanism implements OAuth 2.0 protocol.

Guidelines

What to Fix:

• ✓ AI telltale patterns (em dashes, formal phrases, rule of three)
• ✓ Homophones used incorrectly based on context
• ✓ Missing or incorrect punctuation
• ✓ Capitalization errors
• ✓ Run-on sentences that hurt clarity
• ✓ Awkward or overly formal phrasing
• ✓ Redundant transitions

What to Preserve:

• ✗ Author's tone (casual, formal, technical, creative)
• ✗ Intentional style choices (fragments, emphasis, repetition)
• ✗ Technical terminology and domain-specific jargon
• ✗ Proper nouns, brand names, specific references
• ✗ Dialectical or regional speech patterns (when clearly intentional)
• ✗ Creative writing choices (unless they're errors)

Output Format

When correcting text:

1. Provide the corrected version directly
2. If requested, briefly explain major changes made
3. Maintain original formatting (paragraphs, line breaks) unless fixing structural issues

Special Considerations

• Informal/Conversational Text: Don't over-correct casual language; preserve contractions and colloquialisms
• Professional/Formal Text: Ensure appropriate formality without AI stuffiness
• Technical Documentation: Preserve precision and terminology while removing AI patterns
• Creative Writing: Be extra cautious; preserve style unless errors are clear
• Lists and Bullet Points: Check for parallel structure and clarity

This skill emphasizes context over rules - always prioritize meaning and natural expression over rigid grammatical perfection.