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Get Started Free →Structure and write a literature review for any research topic. Use when asked to write a literature review, systematic review summary, narrative review, or research background section. Produces a structured review with thematic organisation, critical analysis, and gap identification.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -22% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 35% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 16% | 0% |
Structures and writes literature reviews — from background sections of a dissertation through to standalone narrative reviews for publication.
Databases: PubMed, EMBASE, PsycINFO, etc.] Search terms: Key terms and Boolean combinations] Inclusion criteria: Study types, population, date range, language Exclusion criteria: List] Results: n] identified → n] after deduplication → n] screened → n] included
Organised thematically — not chronologically. Each theme = one section.
Structure per thematic section:
Theme heading]
Opening: state what this section covers and what evidence shows overall]
Evidence synthesis: present what multiple studies found, compare and contrast. Do NOT summarise one paper then the next — synthesise across them: "Three studies found X (Smith, 2019; Jones, 2020; Lee, 2021), while two found Y, with the difference attributable to..."]
Critical analysis: note methodological strengths and weaknesses — sample sizes, study designs, generalisability, risk of bias]
Closing: transition to next theme]
| Author, year | Study design | Population | n | Key findings | Quality/Limitations | |---|---|---|---|---|---|
Well-established: What literature consistently shows] Contested: Areas where evidence is mixed and why] Missing: Gaps the field needs to address] How your study addresses the gap: If this is for a research proposal]
3-5 sentences. Current state of knowledge and what is needed next]
For each paper: internal validity, external validity, bias types, effect size significance vs clinical significance, funding conflicts.
Other measured skills in the registry, with their headline benchmark lift.