Our mentoring commitment
We provide explanation, structured feedback, technical mentoring, methodology guidance, review and preparation support. The learner remains the author and is responsible for understanding, completing and submitting work in accordance with institutional rules.
Support we can provide
- Topic selection and feasibility assessment
- Research questions, objectives and methodology guidance
- Coding explanation, code review and debugging mentorship
- Dataset, statistical method and evaluation guidance
- Literature-review structure and citation checking
- Report, presentation, viva and proposal-defence preparation
- Manuscript review, journal-fit guidance and reviewer-response coaching
- Responsible use of AI for brainstorming, explanation, outlining and language improvement
Support we will not provide
- Impersonation, proxy viva, examination assistance or attendance substitution
- Fabricated data, results, references, certificates or ethical approvals
- Plagiarism, purchased authorship or work intended to be misrepresented as independent
- Guaranteed marks, journal acceptance, publication or institutional approval
- Unauthorised cybersecurity activity or unlawful access
- False university affiliation or misleading credentials
Responsible AI requirements
AI output must be checked by a human. References, quotations, statistics, factual claims, code and analytical interpretations must be independently verified. Confidential or restricted data should not be entered into public AI systems without permission. AI use must be disclosed whenever an institution, journal or employer requires disclosure.
Research and data integrity
We may question impossible sample sizes, inconsistent tables, unsupported claims, suspicious citations, data leakage, manipulated figures or results that cannot be reproduced. The purpose is to correct the work, document limitations and protect the learner from submitting unreliable evidence.
Student and researcher responsibility
Clients are responsible for authorship, citations, permissions, participant consent, ethical approval, lawful data use and final submission. Guidance does not replace a supervisor, institutional committee, journal editor or legal authority.
Need an ethical review?
Use the Project Feasibility Review before committing to a topic, dataset, method or technical approach.
View Project Feasibility Review