Commacad AI Responsible Academic Use Policy
AI-Assisted. Researcher-Led.
Commacad AI tools and platforms are built on a simple principle: artificial intelligence should support academic thinking, not replace it. Our tools are designed as research assistants—not researchers, authors, supervisors, or decision-makers.
Our Core Principles
Every Commacad tool is designed and operated around these principles.
The researcher decides.
Commacad AI may suggest options, frameworks, interpretations, codes, themes, or methodological considerations. Final decisions must always be made, justified, and owned by the researcher.
AI output is working material—not final academic work.
Outputs generated by Commacad AI are intended for brainstorming, exploration, learning, and decision support. They should not be copied directly into a thesis, dissertation, manuscript, assignment, or other academic submission as final work.
We do not design tools to ghostwrite research.
Commacad AI tools are not intended to produce a scholar’s original intellectual contribution on their behalf. The researcher remains responsible for analysis, interpretation, argumentation, conclusions, and scholarly writing.
Human review and verification are essential.
AI-generated suggestions may be incomplete, inaccurate, or unsuitable for a particular research context. Researchers must critically review, verify, refine, and contextualise all outputs before acting upon them.
Academic responsibility remains with the researcher.
Users remain responsible for the originality, accuracy, methodological soundness, citation practices, ethical compliance, and disclosure requirements of their work.
Institutional policies take priority.
Researchers must follow the AI-use, academic-integrity, research-ethics, and disclosure policies of their university, journal, supervisor, funder, or other relevant authority. Where such policies are more restrictive, those requirements take precedence.
How Each Commacad Tool Supports Your Research
For each tool: what it does, and what you as the researcher must still do yourself.
QuantiPreter™
Statistical Interpretation 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
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
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
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 confirmed as researcher-chosen.
MMIntegrator™
Mixed-Methods Integration Support
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
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
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
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.
Optional Disclosure & Citation Templates
Commacad does not require you to disclose AI tool use. If your institution, supervisor, or journal requires disclosure, the following templates may help. Replace {year} with the year you used the tool and adapt the text to your institution's requirements.
QuantiPreter™
Suggested Disclosure Statement
Suggested APA 7 Citation
Protocolis™
Suggested Disclosure Statement
Suggested APA 7 Citation
StrinGen™
Suggested Disclosure Statement
Suggested APA 7 Citation
MMArchitect™
Suggested Disclosure Statement
Suggested APA 7 Citation
MMIntegrator™
Suggested Disclosure Statement
Suggested APA 7 Citation
Samplicus™
Suggested Disclosure Statement
Suggested APA 7 Citation
Methodoria™
Suggested Disclosure Statement
Suggested APA 7 Citation
Thematique™
Suggested Disclosure Statement
Suggested APA 7 Citation
Responsible AI Use — Do’s and Don’ts
Do
- Use AI for planning, structuring, brainstorming, and technical support — not for writing your findings or conclusions
- Review and critically evaluate every AI suggestion before accepting it
- Rewrite AI-generated text in your own academic voice before including it in any submission
- Follow your institution’s AI-use and disclosure policies, which may require declaration
- Check with your supervisor before using AI assistance for any core thesis section
- Treat all AI outputs as working material and starting points, never as final deliverables
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 and analysis
- Submit AI-generated content as your own scholarly work without review and revision
- 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 on your behalf
- Assume AI suggestions are accurate, complete, or appropriate for your specific research context
Frequently Asked Questions
AI-Assisted. Researcher-Led.
Commacad tools are designed to support your research process, not replace your academic judgment. The final call is always yours. Explore the tools and use them as the structured research assistants they are meant to be.