AI Paper Writing

North star

• What? 1–3 concrete claims that contribute to knowledge
• Why? rigorous evidence that supports the claims
• So what? motivation + impact: why the reader should care

How to use

Common inputs

• Your paper text (or section)
• Or: a project summary + key results + experiments list

Common outputs

• claim list (1–3 claims + scope + confidence level)
• evidence map (claim → experiments → risks)
• rewritten abstract/intro
• experiment fixes (baselines, ablations, stronger discriminators)
• figure + caption guidance
• limitations + discussion guidance

Workflows

A) Drafting from scratch (recommended order)

1. Compress to claims
2. Motivation & impact
3. Novelty & positioning
4. Evidence & red-teaming
5. Paper structure overview
6. Abstract
7. Introduction
8. Figures
9. Main body layering
10. Discussion & limitations
11. Related work

B) Reviewing a draft

1. Compress to claims (extract what the paper actually claims)
2. Evidence & red-teaming
3. Avoid misleading evidence
4. Abstract
5. Introduction
6. Common pitfalls

C) Strengthening experiments

1. Experiments design
2. Baselines + ablations
3. Avoid misleading evidence
4. Evidence & red-teaming

D) Tightening narrative + clarity

1. Compress to claims
2. Motivation & impact
3. Abstract
4. Introduction
5. Definitions & layering

Templates

• Abstract template
• Intro template
• Paper outline template
• Evidence audit template
• Figure caption template

Modules index

• 00 Overview
• 01 Compress to claims
• 02 Motivation & impact
• 03 Novelty & positioning
• 04 Evidence & red-teaming
• 05 Experiments design
• 06 Avoid misleading evidence
• 07 Structure: Abstract
• 08 Structure: Introduction
• 09 Figures
• 10 Main body
• 11 Related work
• 12 Discussion & limitations
• 13 Writing process
• 14 Common pitfalls
• 15 Checklists

Acknowledgements