Phase 0: Paradigm Capture
Before writing the manuscript, extract a style spec from 2-3 exemplar reviews in the target journal tier. This anchors the draft to flagship-review style and prevents drift toward the generic "survey paper" register that LLMs default to.
Why this phase exists
LLMs trained on the entire web have absorbed every register of medical writing — vendor white papers, methodological surveys, textbook chapters, narrative reviews, systematic reviews, flagship reviews — and have no built-in preference among them. By default, the register they generate is somewhere between "good survey paper" and "Wikipedia article": numbered chapters, hedging language, neutral catalogue, dense subsections.
Flagship-tier reviews (Nature Reviews / Nat Med / Lancet family / JACC) write differently:
- 2 heading levels, no number prefixes
- 1-2 sentence "verdict" closers per axis section
- Equations and dataset details in Boxes, not body
- Vendor names confined to a single Table
- Authorial position taken explicitly when evidence supports it
- 1.5-2.5 references per paragraph, well-targeted
- Often a 4-5 bullet "Key Points" box after the title
Without an exemplar anchor, even careful writing drifts toward the generic register. With one, every paragraph has a benchmark.
Action 1: Select 2-3 exemplar reviews
Selection criteria
- Same modality or same problem family as your topic. (For coronary AI, look at recent coronary or cardiovascular AI reviews. For brain tumor segmentation, look at neuroradiology AI reviews.)
- Same journal tier as your target. If aiming for Nat Med, read a recent Nat Med review. If aiming for Eur Radiol, read a recent Eur Radiol review.
- Last 3 years. Older exemplars may have outdated stylistic conventions.
- Recognized authors. Reviews authored by senior figures in the field carry the conventions of their target journals more reliably.
Suggested exemplars by tier
Top tier (Nature Reviews / Nat Med / Lancet family):
- Nature Reviews Cardiology — for cardiovascular AI
- Nat Med — for AI-in-medicine narrative reviews
- Lancet Digital Health — for AI clinical translation
Second tier (specialty journals):
- JACC: Cardiovascular Imaging — for cardiac imaging AI
- Radiology / Eur Radiol — for general imaging AI
- IEEE TMI — for methodological reviews with clinical context
Methodological tier:
- Medical Image Analysis — for purely methodological reviews
- IEEE JBHI — for AI-in-healthcare methods
Acquiring the PDFs
Most flagship reviews are accessible via:
- The user's Zotero library (check first — they likely already have them)
- PubMed Central (for open-access)
- The journal's website (subscription / institutional access)
- arXiv preprint version (sometimes available)
Action 2: Read carefully — not skim
Spend 60-90 minutes per exemplar. Read the full text, including Boxes, Figure captions, and Table footnotes.
Pay attention to:
Heading structure
- How many levels deep? (Almost always 2 for top tier.)
- Are headings numbered or unnumbered? (Almost always unnumbered for top tier.)
- How long are H2 sections? (Typically 800-1500 words.)
- How long are H3 sections? (Typically 300-800 words.)
- How are deeper subsections handled? (Bold lead-in
**Topic.**, not H4.)
Paragraph rhythm
- How does a paragraph open? (Topic claim — almost never "In recent years," or "It is worth noting.")
- How does evidence flow? (1-3 sentences of specifics with citations, not loose generalities.)
- How does a paragraph close? (Either with a transition or with a verdict — not with hedging.)
- How many sentences per paragraph? (Usually 4-7.)
Citation density
- Count references per paragraph in 5 random paragraphs.
- Top tier: usually 1.5-2.5 refs per paragraph.
- Lower density suggests overclaiming; higher suggests stacking refs uncritically.
Equation handling
- Are display equations in body or Boxes?
- If in body, is there a Box at all?
- How are metric definitions handled — formula or prose?
Vendor handling
- Search for any commercial product name. Does it appear in body text or only in Tables?
- How are FDA / regulatory facts cited?
Authorial voice
- Find the 3-5 strongest claims in the review. How are they phrased?
- Does the author take positions like "X is currently the best approach for Y" or stay neutral throughout?
- Where does hedging appear? (Usually only when evidence genuinely supports caution.)
Boxes and Figures
- How many Boxes? (1-3 typical.)
- What goes in a Box? (Definitions, key trials, controversies.)
- How many Figures? (3-5 typical.)
- What kinds of Figures? (Overview / taxonomy / workflow / data-driven plot.)
Tables
- How many Tables? (2-4 typical — rarely 5+.)
- What goes in a Table? (Datasets, methods comparison, commercial products.)
- How dense? (10-20 rows is common; 30+ is unusual.)
Key Points box
- Is there one? (Yes for most top tier.)
- How many bullets? (4-5 typical.)
- How long is each bullet? (1-3 sentences.)
Action 3: Write PARADIGM.md in the project root
Use this template:
# Paradigm Spec for [Project Name]
## Target journal: [name and tier]
## Exemplars studied
1. [Author Year]. [Title]. [Journal]. [PMID/DOI]. (PDF: <path>)
2. [Author Year]. [Title]. [Journal]. [PMID/DOI]. (PDF: <path>)
## Extracted style spec
### Heading structure
- Max depth: [N] levels
- Numbering: [yes / no]
- Typical H2 length: [N-N] words
- Deeper subsections: [H4 / bold lead-in / other]
### Paragraph rhythm
- Opening: [observed pattern, e.g., "Topic claim sentence, no temporal preamble"]
- Body: [observed pattern, e.g., "2-4 sentences of specifics with citations"]
- Closing: [observed pattern, e.g., "Transition or verdict"]
- Typical length: [N-N] sentences
### Citation density
- Average refs per paragraph: [N]
- Multi-citation cap (max refs in one bracket): [N]
### Equations
- Location: [body / Box / both / none]
- Display style: [LaTeX / inline / prose]
### Vendor handling
- Body: [allowed / disallowed]
- Table: [yes / no]
- Total Tables containing vendor names: [N]
### Authorial voice
- Hedging frequency: [observed examples]
- Strong claims: [N observed across 3 reviews]
- Verdict closers per section: [observed pattern]
### Boxes and Figures
- Box count: [N]
- Box purposes: [list]
- Figure count: [N]
- Figure types: [list]
### Tables
- Count: [N]
- Density: [N-N rows]
### Key Points
- Present: [yes / no]
- Bullet count: [N]
- Bullet length: [N-N sentences]
## Manuscript style targets (binding for Phase 4 writing)
Phase 4 writing should conform to this spec. Specifically:
- Max heading depth: ...
- No numbered headings.
- Box 1 for metrics / formulas.
- Vendor names only in Table N.
- ≥ 3 verdict sentences across the manuscript.
- Citation density 1.5-2.5 refs/paragraph.
- Key Points: 4-5 bullets after title.
## Anti-patterns observed in v2 drafting (to specifically avoid)
(Copy / adapt from this skill's HALLUCINATION_PATTERNS.md to the extent the patterns are domain-relevant.)
Action 4: Re-read PARADIGM.md before each Phase 4 writing session
Phase 4 is multi-day. Drift is the main risk. At the start of each writing session, re-read PARADIGM.md to re-anchor.
Time budget
- Exemplar selection: 30 min
- Reading 2 exemplars: 2-3 hours
- Writing the spec: 30-45 min
Total: 3-4 hours.
This is the highest-ROI 3-4 hours in the entire project. Skipping it almost guarantees survey-paper-register drift, which is then extremely expensive to fix in revision.