Plan AR: AI Academic Writing

Perplexity / CNKI · Google Scholar

Use Perplexity for an initial scan, then read highly-cited and recent papers in detail on CNKI or Google Scholar. Build a literature table (authors, year, method, findings, your notes). Verify key data against original sources — AI invents references.

💡Require source links from Perplexity and click through; delete anything that won't open or can't be found.

Claude / ChatGPT

Build the outline to the target journal's structure: introduction → literature review → methods → results → discussion → conclusion, each section stating the core claim and supporting material. Have the model check the logical chain and fill any gaps.

💡Run the outline past your advisor or a peer before writing further — a wrong direction means rework no matter how much you write.

Claude / ChatGPT

Write section by section: methods first, then results (most objective), then introduction and literature review, discussion last. Feed your own material, data and rough paragraphs to the model to expand or rephrase — you judge and correct.

💡Never let AI write your core arguments wholesale; have it fill blanks inside your materials and framework so the author stays you.

ChatGPT / Grammarly

Run a similarity check first; for high-overlap paragraphs, have AI rewrite sentence structures and word choice, then use Grammarly for grammar and academic tone. Read the whole paper after to confirm meaning survived the rewrites.

💡After de-duplication, ask the model 'did the core claim of this paragraph change?' so you don't lose meaning to similarity.

ChatGPT / submission portal

Use the model to draft the cover letter, author contributions and submission checklist, then verify against the target journal's formatting requirements item by item. Before submitting, have AI run a final self-check: figure numbering, citation format, headers, author info.

💡Have the model check each item against a 'submission checklist' and compare against it literally rather than by feel.