AUTHOR SERVICES

Source-Grounded AI Writing Support

AI-assisted academic writing support that helps authors draft, refine, and organize article sections using author-provided sources, verified references, and human review.

SOURCE-GROUNDED AI WRITING Built around transparent publishing practice, ethical authorship, journal policy compliance, and responsible open access communication.
SOURCE-GROUNDED AI WRITING

Service scope and standards

This service is designed to improve publication readiness while protecting research integrity, author responsibility, transparent disclosure, and journal policy compliance.

International publishing standard

Guidance follows principles reflected in ICMJE recommendations and DOAJ/COPE/OASPA/WAME transparency expectations: authorship accountability, disclosure, ethical review, fee clarity, peer review transparency, copyright/licensing awareness, and responsible AI use.

Features

What this service includes

  • Section drafting support for abstract, introduction, methods, discussion, and conclusion
  • Source-based paragraph development from author-supplied literature
  • Academic tone, clarity, and argument flow improvement
  • Human verification notes for claims that need checking
  • Responsible AI use and disclosure guidance
Workflow

How the support works

  1. Author shares manuscript goals, article type, sources, and target journal context.
  2. Support team maps the paper structure and identifies sections needing development.
  3. Drafting and editing suggestions are prepared with source-check reminders.
  4. Author reviews, verifies, and approves all final text before submission.
Standards & Boundaries

Ethical service principles

AI assistance must support author thinking and cannot replace author responsibility for accuracy, originality, interpretation, and final approval.

Claims, definitions, and interpretations should be checked against the author’s own sources before submission.

AI use should be disclosed when journal policy requires it, and confidential or sensitive data should be handled carefully.

Practical Tools

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