Writes academic reports, essays, research papers, and theses in the user's voice with proper citation formatting (APA, MLA, Chicago, IEEE), structure templates, tone customization, and plagiarism avoidance strategies. Use when drafting academic documents, formatting citations, or adapting writing style to match requirements.
Comprehensive academic writing assistant that matches your voice, maintains proper structure, and handles citations across all major formatting styles.
Assists with all aspects of academic writing:
node scripts/analyze-voice.js sample-writing.txt voice-profile.json
node scripts/format-citations.js sources.json --style APA
node scripts/generate-outline.js topic.txt outline.md --type research-paper
graph TD
A[Research Complete] --> B[Analyze Voice]
B --> C[Create Outline]
C --> D[Draft Introduction]
D --> E[Draft Body]
E --> F[Draft Conclusion]
F --> G[Add Citations]
G --> H[Generate Bibliography]
H --> I[Edit & Proofread]
I --> J[Format Document]
J --> K[Final Review]
Sentence Complexity:
{
avgSentenceLength: 18.5, // words
complexSentenceRatio: 0.35, // 35% complex sentences
subordinateClauseFrequency: 0.42
}
Vocabulary Level:
{
avgWordLength: 5.2, // characters
academicWordRatio: 0.28, // 28% academic vocabulary
technicalTermDensity: 0.15, // 15% technical terms
fleschReadingEase: 45 // College level
}
Tone Indicators:
{
formalityScore: 0.85, // Highly formal
passiveVoiceRatio: 0.22, // 22% passive constructions
hedgingFrequency: 0.08, // "may," "might," "possibly"
assertivenessScore: 0.65 // Moderately assertive
}
User's Natural Style:
"Machine learning algorithms can process vast amounts of medical data. This enables more accurate diagnoses. However, we must consider ethical implications."
Matched Output:
"Machine learning algorithms demonstrate exceptional capability in processing extensive medical datasets. Consequently, diagnostic accuracy improves significantly. Nevertheless, ethical considerations warrant careful examination."
Style Analysis:
In-text Citations:
Single author: (Smith, 2023)
Two authors: (Smith & Jones, 2023)
Three or more: (Smith et al., 2023)
Multiple sources: (Jones, 2022; Smith, 2023)
Reference List:
Journal Article:
Author, A. A., & Author, B. B. (Year). Title of article. Title of Journal, volume(issue), pages. https://doi.org/xxx
Book:
Author, A. A. (Year). Title of book (Edition). Publisher.
Website:
Author, A. A. (Year, Month Day). Title of webpage. Site Name. URL
In-text Citations:
(Smith 45)
(Smith and Jones 32)
(Smith et al. 78)
Works Cited:
Journal Article:
Smith, John. "Article Title." Journal Name, vol. 15, no. 3, 2023, pp. 123-145.
Book:
Smith, John. Book Title. Publisher, 2023.
Website:
Smith, John. "Page Title." Website Name, Publisher, Date, URL.
Footnote/Endnote:
1. John Smith, Book Title (City: Publisher, 2023), 45.
2. Jane Jones, "Article Title," Journal Name 15, no. 3 (2023): 123-145.
Bibliography:
Smith, John. Book Title. City: Publisher, 2023.
Jones, Jane. "Article Title." Journal Name 15, no. 3 (2023): 123-145.
In-text Citations:
[1], [2], [3]
[1]-[3]
[1, 4, 7]
References:
[1] J. Smith, "Article title," Journal Name, vol. 15, no. 3, pp. 123-145, 2023.
[2] J. Smith and B. Jones, Book Title, 3rd ed. City: Publisher, 2023.
# [Title: Clear, Descriptive, Engaging]
**Abstract** (150-250 words)
- Background (1-2 sentences)
- Objective (1 sentence)
- Methods (2-3 sentences)
- Results (2-3 sentences)
- Conclusion (1-2 sentences)
## 1. Introduction
- Hook (1 paragraph)
- Background (2-3 paragraphs)
- Literature review (2-4 paragraphs)
- Research question/thesis (1 paragraph)
- Paper roadmap (1 paragraph)
## 2. Methodology
- Research design
- Data collection methods
- Analysis approach
- Limitations
## 3. Results
- Present findings
- Data visualization
- Statistical analysis
- Key patterns
## 4. Discussion
- Interpret results
- Connect to literature
- Implications
- Limitations
- Future research
## 5. Conclusion
- Restate thesis
- Summarize findings
- Final insights
- Call to action (if appropriate)
## References
[Formatted according to citation style]
# [Title: Descriptive of Experiment]
**Abstract** (100-150 words)
## Introduction
- Scientific background
- Theoretical framework
- Objectives/hypotheses
## Materials and Methods
- Equipment list
- Experimental procedure (step-by-step)
- Safety considerations
## Results
- Raw data tables
- Processed data
- Graphs and figures
- Statistical analysis
## Discussion
- Interpretation of results
- Comparison to expected outcomes
- Sources of error
- Improvements for future experiments
## Conclusion
- Summary of findings
- Answer to research question
- Significance of results
## References
## Appendices (if needed)
- Raw data
- Calculations
- Additional figures
# [Title: Engaging and Specific]
## Introduction
- Hook (attention-grabber)
- Context (background information)
- Thesis statement (clear position/argument)
- Preview of main points
## Body Paragraph 1
- Topic sentence (main point)
- Evidence/examples
- Analysis/explanation
- Connection to thesis
- Transition
## Body Paragraph 2
- [Same structure]
## Body Paragraph 3
- [Same structure]
## Counterargument (optional but recommended)
- Present opposing view
- Refute with evidence
- Strengthen your position
## Conclusion
- Restate thesis (differently)
- Summarize main points
- Broader implications
- Memorable closing
## Works Cited
# [Thesis Title]
## Front Matter
- Title page
- Abstract
- Acknowledgments
- Table of contents
- List of figures
- List of tables
- List of abbreviations
## Chapter 1: Introduction
- Research context
- Problem statement
- Research objectives
- Significance
- Scope and limitations
- Thesis structure
## Chapter 2: Literature Review
- Theoretical framework
- Review of related work
- Identification of research gap
- Research questions/hypotheses
## Chapter 3: Methodology
- Research design
- Data collection
- Analysis methods
- Ethical considerations
## Chapter 4: Results
- Presentation of findings
- Data analysis
- Statistical tests
## Chapter 5: Discussion
- Interpretation
- Implications
- Limitations
- Contributions to field
## Chapter 6: Conclusion
- Summary of findings
- Theoretical contributions
- Practical implications
- Recommendations
- Future research
## References
## Appendices
Highly Formal (Academic Journal):
"The present investigation examines the efficacy of machine learning algorithms in diagnostic applications within healthcare settings. Preliminary findings indicate substantial improvements in diagnostic accuracy relative to traditional methodologies."
Moderately Formal (Undergraduate Paper):
"This research examines how effective machine learning algorithms are for medical diagnosis in healthcare settings. Initial results show significant improvements in diagnostic accuracy compared to traditional methods."
Technical (Engineering Report):
"ML algorithms achieved 94.2% diagnostic accuracy (n=1,000) versus 87.3% for traditional methods (p<0.01). The convolutional neural network architecture demonstrated optimal performance for image-based diagnoses."
Persuasive (Argumentative Essay):
"Machine learning represents a revolutionary approach to medical diagnosis. The evidence is clear: algorithms consistently outperform traditional methods, improving accuracy by nearly 7%. Healthcare providers must embrace this technology to deliver optimal patient outcomes."
Original Source:
"Machine learning algorithms have demonstrated remarkable success in medical imaging applications, particularly in the detection of cancerous tumors."
Bad Paraphrase (too similar):
"Machine learning algorithms have shown remarkable success in medical imaging uses, especially in detecting cancerous tumors."
Good Paraphrase (restructured, different words):
"Medical imaging has benefited significantly from machine learning, with tumor detection emerging as a particularly successful application (Smith, 2023)."
Use Direct Quotes When:
Use Paraphrasing When:
Needs Citation:
No Citation Needed (Common Knowledge):
// From source data
const sources = [
{
type: 'journal',
authors: ['Smith, John', 'Jones, Mary'],
year: 2023,
title: 'Machine Learning in Healthcare',
journal: 'Medical AI Journal',
volume: 15,
issue: 3,
pages: '123-145',
doi: '10.1234/maj.2023.001'
}
];
// Generate APA reference
function generateAPA(source) {
const authors = source.authors.join(', ');
return `${authors} (${source.year}). ${source.title}. ${source.journal}, ${source.volume}(${source.issue}), ${source.pages}. https://doi.org/${source.doi}`;
}
// Output:
// Smith, John, & Jones, Mary (2023). Machine Learning in Healthcare.
// Medical AI Journal, 15(3), 123-145. https://doi.org/10.1234/maj.2023.001
First Draft - Focus on Content:
Second Draft - Structure & Flow:
Third Draft - Style & Voice:
Final Draft - Polish:
Addition: furthermore, moreover, additionally, besides Contrast: however, nevertheless, conversely, in contrast Cause/Effect: consequently, therefore, thus, as a result Example: for instance, specifically, notably, to illustrate Sequence: first, subsequently, finally, meanwhile Emphasis: indeed, certainly, undoubtedly, particularly
❌ Contractions: don't, can't, won't ✅ Full Forms: do not, cannot, will not
❌ First Person (in formal writing): "I think that..." ✅ Objective Voice: "The evidence suggests that..."
❌ Informal Language: "a lot of," "kind of," "stuff" ✅ Formal Alternatives: "numerous," "somewhat," "materials"
❌ Vague Statements: "Many studies show..." ✅ Specific Claims: "Recent meta-analyses (n=45) demonstrate..."
❌ Weak Verbs: "is," "has," "makes" ✅ Strong Verbs: "demonstrates," "facilitates," "establishes"
For detailed information:
resources/citation-styles.mdresources/report-templates.mdresources/voice-patterns.mdresources/paraphrasing-guide.md