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Designed for UGC-Compliant AI Use

Commacad & UGC AI Guidelines

What Every PhD Scholar Needs to Know

The UGC now treats undisclosed AI-generated content as plagiarism. This page explains how Commacad tools fit within permitted categories, what you must still do yourself, and how to protect your research with proper disclosure.

UGC Penalty Tiers for AI-Generated Content

Applied when flagged by detection software (Turnitin, DrillBit, ShodhShuddhi)

Level 0
Below 10% similarity
Safe — no action required
Level A
10% – 40% similarity
Thesis returned for revision. Up to 6 months to resubmit.
Level B
40% – 60% similarity
Scholar debarred from submitting for 1 full year.
Level C
Above 60% similarity
PhD registration cancelled permanently.

Important: AI-detection software flags all AI-generated prose, not only content from specific tools. Even a well-written AI output copied verbatim can push a thesis into Level A or higher. The safest strategy is transparent disclosure, substantial human revision, and keeping all core academic reasoning your own. UGC Regulations Page

What UGC Permits

AI is allowed for these specific purposes — with disclosure and citation.

Language refinement

Improving grammar, clarity, and sentence structure of text you have written.

Structuring ideas

Using AI to organise your own thinking — outlines, frameworks, planning scaffolds.

Technical assistance

Generating Boolean strings, statistical references, or formatting support.

How Each Commacad Tool Aligns with UGC Guidelines

For each tool: what it does, its UGC compliance category, and what you must still do yourself.

QuantiPreter™

Statistical Interpretation Support

Permitted — language structuring support

What the tool does

Converts raw quantitative/SPSS output into a structured starting point for interpretation.

What you must still do

Critically review the interpretation against your research question, revise it in your own voice, and integrate it with your study’s theoretical framework before including any content in your thesis.

Protocolis™

Research Protocol Structuring

Permitted — structuring and drafting support

What the tool does

Generates a structured draft framework for a Systematic Literature Review protocol based on researcher inputs.

What you must still do

Review, substantially revise, and validate every section of the draft. The research objectives, inclusion/exclusion criteria, and methodology must reflect your original academic reasoning. Treat the draft as a scaffold, not a final document.

StrinGen™

Technical Search String Generation

Permitted — technical assistance

What the tool does

Generates database-specific Boolean search strings from research questions and SLR protocols.

What you must still do

Validate the generated strings against your specific research scope, test them in target databases, and document any manual adjustments. The choice of databases and the final search strategy must be justified by the researcher.

MMArchitect™

Research Design Advisory

Permitted — structuring support (with disclosure)

What the tool does

Provides AI-guided research design options and mixed-methods sequencing rationale to support methodology decisions.

What you must still do

Select, critically justify, and own your research design choice. The methodology chapter must reflect your original academic reasoning. Any design recommendation from the tool must be evaluated against your study context and documented as researcher-confirmed.

MMIntegrator™

Mixed-Methods Integration Support

Permitted — structuring support (with disclosure)

What the tool does

Helps researchers identify convergence, divergence, and integration points between quantitative and qualitative data strands.

What you must still do

Conduct the actual integration analysis independently. The synthesis of findings, interpretation of convergence or divergence, and all conclusions drawn must be the researcher’s original work. Use the tool’s output only as a structural guide, not as findings.

Samplicus™

Sampling Guidance

Permitted — technical assistance

What the tool does

Provides sample size guidance and justification frameworks aligned to the researcher’s methodology and assumptions.

What you must still do

Verify all assumptions, validate the guidance against your specific methodological context, and write the final sample size justification in your own words. Consult your supervisor or statistician where appropriate.

Methodoria™

Research Planning Workspace

Permitted — structuring and planning support (with disclosure)

What the tool does

Guides researchers through a structured 7-step workflow from topic to a Research Framework Summary (RFS).

What you must still do

The RFS is a planning scaffold — it must not appear verbatim in any thesis chapter. Researchers must independently develop, write, and justify each section of their actual thesis based on the plan. The framework summary must be treated as a working document, not a submission-ready output.

Thematique™

Qualitative Coding Platform

Permitted — process support (low risk)

What the tool does

Provides a structured environment for qualitative coding, codebook building, and thematic analysis with AI-assisted suggestions.

What you must still do

All coding decisions must be made by the researcher. AI suggestions are starting points — each code, theme, and interpretation must be reviewed, accepted, rejected, or modified based on your theoretical framework and immersion in the data.

Ready-to-Use Disclosure & Citation Templates

Copy these directly into your thesis acknowledgements or methodology section. Replace {year} with the year you used the tool. Adapt the disclosure paragraph to match your specific usage.

QuantiPreter™

Disclosure Statement

Statistical output interpretation in this study was supported by QuantiPreter™ (Commacad, 2026), an AI-assisted research support tool aligned to the Commacad Interpretation Framework™. The AI-generated starting point was critically reviewed, substantively revised, and integrated with the study’s theoretical framework by the researcher. All interpretive conclusions reflect the researcher’s own analysis.

APA 7 Citation

Commacad. (2026). QuantiPreter™ [AI-assisted statistical interpretation tool]. Commacad Technologies. https://commacad.com/quantipreter

Protocolis™

Disclosure Statement

The initial structure of the SLR protocol in this study was developed with the support of Protocolis™ (Commacad, 2026), an AI-assisted protocol structuring tool. The draft framework was critically reviewed and substantially revised by the researcher to reflect the study’s specific objectives, scope, and methodological rationale. All research decisions, inclusion/exclusion criteria, and analytical strategies were determined independently by the researcher.

APA 7 Citation

Commacad. (2026). Protocolis™ [AI-assisted SLR protocol structuring tool]. Commacad Technologies. https://commacad.com/protocolis

StrinGen™

Disclosure Statement

Boolean search strings for the systematic literature search in this study were generated with the assistance of StrinGen™ (Commacad, 2026), an AI-assisted search string generation tool. Generated strings were validated by the researcher, tested across the selected databases, and refined to ensure alignment with the study’s scope and inclusion criteria.

APA 7 Citation

Commacad. (2026). StrinGen™ [AI-assisted Boolean search string generator]. Commacad Technologies. https://commacad.com/stringen

MMArchitect™

Disclosure Statement

The research design framework in this study was developed with the support of MMArchitect™ (Commacad, 2026), an AI-assisted research design advisory tool. Design options generated by the tool were critically evaluated by the researcher in light of the study’s objectives, epistemological stance, and contextual requirements. The final research design and its justification reflect the researcher’s independent academic judgment.

APA 7 Citation

Commacad. (2026). MMArchitect™ [AI-assisted research design advisory tool]. Commacad Technologies. https://commacad.com/mmarchitect

MMIntegrator™

Disclosure Statement

The integration structure for mixed-methods findings in this study was informed by MMIntegrator™ (Commacad, 2026), an AI-assisted integration support tool. The tool provided a structural framework for examining convergence and divergence between data strands. All analytical interpretations, synthesis conclusions, and reported findings are the researcher’s own original work.

APA 7 Citation

Commacad. (2026). MMIntegrator™ [AI-assisted mixed-methods integration support tool]. Commacad Technologies. https://commacad.com/mmintegrator

Samplicus™

Disclosure Statement

Sample size estimation and justification in this study was supported by Samplicus™ (Commacad, 2026), an AI-assisted sampling guidance tool. The tool’s recommendations were reviewed and validated by the researcher against the study’s specific methodological assumptions, design constraints, and context. The final sampling strategy and its documented justification are the researcher’s own work.

APA 7 Citation

Commacad. (2026). Samplicus™ [AI-assisted sample size guidance tool]. Commacad Technologies. https://commacad.com/samplicus

Methodoria™

Disclosure Statement

The research planning framework for this study was developed using Methodoria™ (Commacad, 2026), an AI-assisted research planning workspace. The tool was used to structure the researcher’s thinking across key planning stages. All sections of the thesis were independently researched, written, and critically argued by the researcher; the planning framework served as a preparatory scaffold and is not reproduced in this work.

APA 7 Citation

Commacad. (2026). Methodoria™ [AI-assisted research planning workspace]. Commacad Technologies. https://commacad.com/methodoria

Thematique™

Disclosure Statement

Qualitative data coding and thematic analysis in this study was conducted using Thematique™ (Commacad, 2026), a qualitative research coding platform. AI-assisted code suggestions were used as a starting point; all coding decisions, code definitions, theme formations, and interpretive analysis were performed independently by the researcher, who reviewed and confirmed every code assignment.

APA 7 Citation

Commacad. (2026). Thematique™ [Qualitative research coding platform]. Commacad Technologies. https://commacad.com/thematique

Do’s and Don’ts for UGC-Compliant AI Use

Do

  • Declare all AI tool use in your thesis acknowledgements or methodology section
  • Cite every AI tool you used, in APA 7 or your institution's required format
  • Rewrite AI-generated text in your own academic voice before including it
  • Use AI for planning, structuring, and technical support — not for writing findings
  • Review and critically evaluate every AI suggestion before accepting it
  • Check with your supervisor before using AI for any core thesis section

Don’t

  • Copy AI-generated text directly into your literature review, results, or discussion
  • Use AI to write original sections that must reflect your own reasoning
  • Submit AI-generated content without attribution or citation
  • Assume your university's detection software won't flag AI-generated text
  • Treat AI output as a final document — always treat it as a draft to be substantially revised
  • Use AI to generate empirical data, analysis results, or research conclusions

Frequently Asked Questions

Use AI Ethically — and Confidently

Commacad tools are designed to support your research process, not replace your academic judgment. Explore the tools and use them as the structured research support they are meant to be.