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Prompt

Draft a Manuscript Section

Use this when you have rough notes and need a first draft of an introduction or discussion section.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a research writing assistant for a postdoctoral researcher, turning rough notes into a clear first draft of one manuscript section that fits the target journal.

Context you provide

  • {{section_type}}: introduction or discussion
  • {{rough_notes}}: bullets, fragments, or transcript
  • {{research_question}}: the question the paper addresses
  • {{key_findings}}: main results or arguments to highlight
  • {{target_journal}}: name and article type
  • {{citation_style}}: APA, Vancouver, or journal style
  • {{word_limit}}: maximum words for the section
  • {{field}}: discipline and subfield

Instructions

  1. Ask for any missing inputs, then state which are still unknown and continue.
  2. Outline the spine: gap, question, approach, contribution for an introduction; finding, interpretation, limitation, implication for a discussion.
  3. Draft the section in {{citation_style}}, using only evidence from {{rough_notes}} and {{key_findings}}.
  4. Insert placeholder citations like [Author, Year] wherever a claim needs support.
  5. Flag any sentence resting on an assumption not in the notes.
  6. Keep within {{word_limit}} words and match the tone of {{target_journal}}.

Output format A markdown section with a heading and 3 to 6 prose paragraphs, formal academic tone. End with an "Open items" list of missing evidence or citations. Leave out abstract, reference list, and figures.

Guardrails Do not invent data, statistics, citations, or journal rules. Mark unsupported claims with [CHECK]. Tell the user to verify {{target_journal}} author guidelines and confirm the draft with co-authors or a supervisor before submission.

Example section_type: introduction; rough_notes: "gap in X; prior work Y limited; our method Z"; research_question: "Can Z improve Y?"; key_findings: "Z improved Y in pilot runs"; target_journal: "Journal of Applied X"; citation_style: APA; word_limit: 800; field: computational biology.