Literature review with Flowing
Synthesize across your references without losing the thread to your sources.
A literature review is not a list of summaries—it is an argument about what the field shows, where it disagrees, and what gap you address. Flowing keeps that argument anchored to PDFs you import. When you need an evidence paragraph next—not a field survey—continue writing with local library support tends to read like Nature Reviews: a few representative studies, tight synthesis, and no scope drift.
Key facts
- Import your core reference PDFs into a local library—search and AI features revolve around papers you choose.
- Keyword-grounded recall surfaces highly relevant passages while you draft each section.
- Ask with context lets you synthesize across attached draft and library passages in a few clicks.
- Evidence-backed continue writing adds what the paragraph needs now—not every paper the model has seen.
- Basis-backed polish revises discourse function (evidence introduction, comparison, synthesis)—not just wording.
- Rich text and LaTeX editing with live PDF preview keeps the review manuscript in one workspace.
A workflow built for synthesis
Start by importing the PDFs that matter for your review chapter—not necessarily your entire Zotero vault, but the papers you will actually cite in this section. Flowing indexes them locally so keyword recall can match terms in your draft to passages across those files.
As you write, use recall to see candidate evidence cards, attach the best passages as context chips, and ask focused questions: How do these three studies disagree? What limitation do they share? Flowing’s answers draw on the passages you attached—not the open internet.
Continuation vs. knowledge dumping
A common failure mode with generic AI: the next paragraph is academically accurate and eloquent—but it covers too much, cites too many papers, and wanders from the section you are writing (e.g., from laser gain media into photovoltaics). Reviewers call that an annotated bibliography, not narrative.
Flowing’s continue writing is optimized for insertion: maintain the author’s rhythm, add only the evidence the current move requires, and return to a synthesis line. That restraint matches how top-tier reviews read—unlike dumping every related paper into one paragraph.
Staying faithful while moving fast
Literature reviews fail when speed trades off against accuracy—unsupported claims, misread findings, or citations that look real but do not exist. Flowing reduces that risk by linking AI suggestions to library snippets you can open on the card before accepting text into your manuscript.
Basis-backed polish and evidence-backed continue writing extend the same principle: rewrites and new sentences should strengthen your argument with references you can check, not invent.
Who this is for
Thesis literature review chapters, survey articles, grant background sections, and any long-form synthesis where reviewers will check your sources. If you only need a quick unstructured summary of one paper, a general chat tool may suffice; if you need a citable chapter, Flowing is the better fit.