This unbelievable AI tool makes publishing papers easy

A practical workflow for writing research papers with AI—without plagiarism—centers on using AI as an editor and idea partner, not as a ghostwriter. The core message is that anti-plagiarism and AI-detection systems are now strong enough that “letting AI write the whole paper” is both unethical and risky. Instead, AI should improve readability, help brainstorm and structure sections, and generate drafts or expansions that the researcher must then verify, rewrite in their own words, and support with real sources.

The transcript lays out six ethics-and-integrity rules drawn from major scientific publishing norms: use AI only to improve readability; never generate entire text for submission; treat AI as a 24/7 colleague for brainstorming and questions; verify every AI output; draw final conclusions from the underlying data; and create original figures, images, and tables yourself. These constraints set up the tool demonstration: Jenny is presented as the “ultimate” research-writing assistant because it can speed up the most time-consuming parts of academic writing while still requiring the user to do the intellectual work.

The first bottleneck is paper structure. Writing without a clear outline can lead to weeks of work collapsing into a rewrite. Jenny is used to generate a detailed outline for a specific section (and potentially the whole paper) by prompting it with the topic, field, aim, and target length. The transcript emphasizes that prompt detail matters: specifying the section type (e.g., literature review), the study’s goal, and approximate length helps Jenny produce more accurate headings and subheadings than generic templates. Jenny can also provide suggested references per section when the user has uploaded materials.

The second bottleneck is the loneliness of writing. When researchers get stuck defining terms, finding precise details, or locating where an idea came from, they often lose momentum by searching through papers. Jenny is positioned as an always-available assistant for quick definitions and clarifications—followed by a warning that outputs must be verified and rewritten. The same “speed without surrendering authorship” approach is applied to expanding ideas: selecting a short passage and using commands like “write with more depth” to turn two sentences into a fuller subsection, or generating opposing arguments to reflect lack of consensus in the literature review.

A third pain point is citation recall—knowing something is true but forgetting which paper supports it. Jenny can suggest references if the user imports a BibTeX file (from tools like Zotero or Mendeley) or uploads PDFs directly. The transcript recommends using the user’s own library for safer, more accurate sourcing, while still requiring the researcher to check relevance before citing.

Finally, Jenny is used for polishing: improving fluency, simplifying or summarizing overly long passages, and tightening language to match expectations of high-tier journals indexed by Scopus and Q1 rankings. The transcript closes with a caution that no AI tool guarantees acceptance—since many submissions are rejected—so a broader publishing system matters beyond drafting and editing.