🔴LIVE: Write a Research Paper with me using AI Tool!

AI-assisted writing is presented as safe for research papers when it’s used for drafting support and language polishing—not for producing large amounts of original text. The session’s core message is practical: use Jenny as an “intelligent research assistant” to speed up topic selection, literature review, outlining, citation management, and editing, while keeping the actual paper’s substance authored by the researcher to reduce risks around AI overuse, journal scrutiny, and plagiarism concerns.

Jenny is introduced as a workflow tool that can write, cite, and edit. Key capabilities highlighted include in-text citations, AI autocomplete, chat-based interaction with documents, generation from uploaded files, multilingual support, reference management, and a large citation-style library (stated as 1,700 citation styles, later also described as 2,600+). The session emphasizes that many features are available in the free version, with paid upgrades framed mainly for heavier use (such as extensive research writing and unlimited PDF uploads).

The walkthrough starts at the earliest stage of research writing: choosing a topic. Through Jenny’s AI chat interface, users can request research topic ideas and outlines. A concrete example asks for ideas on “impact of climate change on biodiversity,” producing suggestions such as species distribution shifts, phenological mismatches, and ecosystem services decline. The presenter contrasts this with the time cost of manual literature scanning, claiming that shortlisting topics can take months without AI assistance, while AI can compress the brainstorming phase into minutes—though it still requires follow-up reading.

Next comes literature review support. Jenny can answer questions using different source scopes: the web, a personal library of uploaded papers, or a “current document” selected in the workspace. The tool can also cite where answers come from, which is positioned as a way to avoid relying on random, uncited sources. Users can upload PDFs (the session later notes up to 100 PDFs) and then “chat with the PDF,” including asking for key insights from a specific paper.

When writing begins, Jenny can generate a structured outline for a new document, listing standard sections such as introduction, literature review, methodology, results, discussion, and conclusion. Autocomplete is acknowledged as available, but the session discourages heavy reliance on AI-generated text; instead, it recommends writing sections oneself and using Jenny to improve clarity and academic tone.

Editing is demonstrated via an AI edit feature with options like improving fluency, adding transitions, removing redundancy, paraphrasing in different styles, strengthening arguments, adding counterarguments, changing tense, increasing formality, and improving technical precision. Citation workflows are treated as a major time-saver: users upload sources, select text, and insert citations either directly from the library or via a “discover” function that surfaces supporting papers with metadata such as abstract, year, journal name, citation counts, and impact factor. A references section is generated automatically, and citation styles can be changed with a click.

Finally, the session addresses the three big student concerns: safety, plagiarism, and journal acceptance. It argues that AI-generated content is not automatically plagiarism; plagiarism is defined as copying others’ words or ideas without credit. It also notes that journals increasingly allow AI tools if authors disclose AI assistance. For plagiarism correction, Jenny can help paraphrase matched lines flagged as accidental plagiarism, but it does not generate a plagiarism report itself. The session closes by answering additional questions: book chapter outlines follow the same outline-then-edit approach, introductions should be written by the researcher, and AI detection issues are managed by limiting autocomplete and keeping authorship with the user.