Start from a research topic and get a focused question, explicit eligibility criteria, and screening intent that drive search, screening, and extraction instead of sitting in a separate document.
Editable workflow
Each stage stays visible, so you can revise the scope or evidence choices before generating again.
Enter your research topic and let the question be refined.
Confirm the eligibility criteria and screening intent.
Run search and screening against those exact criteria.
Revisit and revise the protocol whenever scope changes.
LitSynth treats AI as support for a review process. You keep control of which papers enter the evidence set and which claims need another check.
Convert a broad topic into a focused review question.
Write eligibility criteria that drive real screening decisions.
Revise the protocol and re-run downstream stages consistently.
Export methods notes that describe what was actually done.
A usable protocol states a focused question, explicit inclusion and exclusion criteria, and the methods for search, screening, and synthesis. The test of quality is operational: another reviewer should be able to apply your criteria and reach similar decisions.
The generated protocol helps you draft the question and criteria, but PROSPERO registration and formal publication require fields and governance beyond what LitSynth generates. Treat the output as a working draft to refine.
For clinical questions, framing population, intervention, comparison, and outcome sharpens both search and screening. LitSynth helps structure the question this way, but also supports scoping and exploratory reviews where a strict PICO does not fit.
Because the protocol is part of the live workflow, revising criteria and re-running screening keeps the record consistent instead of leaving you with a document that no longer matches what was done.
Search papers, screen the evidence, generate a cited draft, and return to earlier decisions whenever the scope needs to change.
Start your review