Writing Anti-AI for Rebuttal Prose

RebuttalStudio Utility — Stage 2 / Stage 4 / Polish Apply this skill after Stage 2 refinement or Stage 4 follow-up drafting when the output reads formulaic or over-polished. Use before the Stage 3 document compilation to ensure the final rebuttal sounds authored by a researcher, not generated by a model.

Remove predictable AI writing patterns from rebuttal text so it reads as natural, confident academic prose — not as machine-generated boilerplate.

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Why This Matters for Rebuttals

Reviewers are experienced academics who read hundreds of papers and rebuttals. A rebuttal that sounds AI-generated signals:

• Lack of genuine engagement with the concerns
• Boilerplate responses that don't address the specific paper
• Reduced credibility and persuasiveness

The goal is not to hide AI assistance — it's to ensure the ideas and voice of the actual authors come through clearly.

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Core Insight

LLMs predict statistically likely continuations. This produces text that applies to the widest variety of cases — which is exactly what makes it feel generic in a rebuttal. Rebuttal prose needs to be specific to this paper, this reviewer, and this concern.

Core principle: Every sentence in a rebuttal should only be true for this paper. If it could appear in any rebuttal, rewrite it.

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Quick Checklist (Apply in Order)

1. Cut Filler Phrases

Remove throat-clearing openers and emphasis crutches that add length without adding meaning.

Common AI openers to remove:

• "In order to address this concern…" → "To address this…"
• "It is worth noting that…" → (delete or restate directly)
• "It is important to highlight that…" → (delete)
• "We would like to clarify that…" → "We clarify that…"
• "Due to the fact that…" → "Because…"

AI emphasis phrases to cut:

• "crucial", "pivotal", "paramount", "essential" (unless truly warranted)
• "delve into", "unpack", "dive deeper"
• "It goes without saying that…" → (just say it)

2. Break Formulaic Structures

AI tends toward predictable patterns. In rebuttals, these appear as:

AI Pattern	Rebuttal Fix
"It's not just X, it's also Y" (negative parallelism)	Drop it; state Y directly
"First… Second… Third…" for every single response	Only use numbered lists when the reviewer explicitly listed multiple concerns
Em-dash reveals: "X — which shows Y"	"X, which shows Y" or split into two sentences
"This represents a significant advancement…"	State what changed specifically

3. Vary Rhythm

Check sentence length distribution in each response block:

• Three consecutive sentences of similar length? Break or merge one.
• Every paragraph ending with a confident one-liner? Vary endings.
• Mix short punchy sentences with longer elaborations.

4. Trust the Reviewer

Reviewers are experts. Do not over-explain or over-justify.

Bad (patronizing): "To ensure complete clarity, and so that the reviewer can fully appreciate our contribution, we explain in detail…"

Good: "To clarify: [the specific point]."

Bad (hand-holding): "It could potentially be argued that the metric might perhaps be considered somewhat limited in scope."

Good: "The metric has a known limitation: [state it]. We address this in Appendix B."

5. Remove Pull-Quote Language

If a sentence sounds like it was written to be quoted or highlighted, rewrite it.

Bad: "This represents a paradigm shift in how the community will approach [problem]."

Good: "The method reduces [specific metric] by X% over [specific baseline], enabling [specific application]."

6. Use First-Person Plural Correctly

Academic rebuttals use "we" — but AI-generated text often over-hedges or over-personalizes.

Too hedged: "The authors feel that it may be the case that…" → "We argue that…" Over-personalized: "We personally believe that…" → "We believe that…"

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Common AI Vocabulary in Rebuttals to Avoid

These words are statistically overrepresented in AI-generated academic text:

Overused	Replace With
additionally	also / and / (restructure sentence)
furthermore	(restructure sentence)
notably	(delete or be specific)
it is worth noting	(just state the point)
comprehensive	thorough / complete (or be specific)
leverage	use
utilize	use
facilitate	help / enable
demonstrate	show
novel	(be specific about what is new)

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Scoring: Is the Rebuttal Prose Human?

Rate each response block (0–10 points each):

Dimension	0 pts	10 pts
Directness	Opens with filler, buries the answer	States the answer in the first sentence
Specificity	Could appear in any rebuttal	References this specific paper, reviewer comment, or result
Rhythm	All sentences same length	Mix of short and long sentences
Tone	Defensive or overly formal	Collegial, confident, factual
Density	Padded with acknowledgments	Information-dense; every sentence moves forward

40–50: Ready to submit. 30–39: Needs targeted edits. < 30: Rewrite from outline.

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What NOT to Change

This skill only removes AI patterns. Do not:

• Alter technical claims or experimental results
• Remove citations or evidence
• Change {{placeholder}} tokens
• Modify quoted reviewer text
• Change the structure required by Stage 2 output format (the > **Reviewer's Comment**: / **Response**: block)

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Adapted from Claude Scholar's writing-anti-ai skill. Original authored by gaoruizhang. Based on Wikipedia: Signs of AI writing, maintained by WikiProject AI Cleanup. Source: https://github.com/Galaxy-Dawn/claude-scholar/blob/main/skills/writing-anti-ai/SKILL.md