Boosting Research Writing with Web-based AI Workflows

Shuyi Wang
16 min readSep 15, 2024

Easier to use, more efficient.

Pain Points

As a graduate supervisor, I’ve witnessed firsthand the severe procrastination students face when writing papers. They often stare blankly at an empty Word document, occasionally typing a few words only to delete them and sink back into contemplation.

The key to starting a paper or any serious long manuscript is to complete the first draft quickly. This requires preparing a substantial amount of pre-written content. At this stage, don’t worry about language style, typos, or formatting. Just write — quickly and abundantly — to fill the page with your ideas.

This is easier said than done. When you think about having to reorganize, stylize, rewrite, adjust the word order, and supplement a lot of references afterward, the mental pressure can be quite overwhelming.

What you need at this moment is an assistant. While you rapidly generate text, you need help with the tedious follow-up work. This includes converting content into academic language, analyzing and correcting punctuation, streamlining logic, and supplementing relevant research literature…

However, hiring such a human assistant can be prohibitively expensive for most graduate students.

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Shuyi Wang

PhD in Information Science. Associate Professor at Tianjin Normal University. Former Adjunct Faculty at UNT. First Prize Winner of HackNTX 2018.