Editorial Policy

Purpose

HumanizeHub publishes practical guidance for editing AI-assisted drafts. Articles should help a reader improve clarity, structure, voice, factual accountability, and audience fit. They are not written to help readers deceive clients, teachers, publishers, or automated review systems.

Authorship and review

Public articles are published under the name of founder and maintainer Harshul Nanda. Drafting tools may assist with outlining or language, but every article is manually reviewed, edited, and accepted before publication. The named author is responsible for the final text.

Originality

We do not scrape or republish third-party articles. Examples, checklists, and comparisons are created for HumanizeHub. When an article relies on an external policy, research result, or product behavior, it should link to the primary source where practical.

AI detection and academic integrity

Detector scores are not treated as proof of authorship. Our content may explain how such systems work and why false positives occur, but it does not promise “undetectable” output or teach statistical evasion. HumanizeHub does not permit ghostwritten graded assignments, exams, fabricated research, plagiarism, or work intended to misrepresent academic authorship.

Corrections and updates

Material corrections are made directly in the article and the “updated” date is changed. Small spelling or formatting fixes may be made without a separate notice. Readers can report a concern through the contact page or public issue tracker.

Commercial independence

Articles may explain HumanizeHub where it is relevant, but they should still answer the reader's question without requiring an account or purchase. Advertising does not determine article conclusions. Sponsored content will be clearly labeled if it is ever published.