Your AI research assistant. Summarize papers, translate sources, explain findings — accelerate your research.
Literature reviews are endless. You need to identify relevant papers quickly, but reading every abstract takes forever.
Important research happens globally. The methodology section you need is in a language you don't read.
Dense statistical methods, unfamiliar techniques, jargon-heavy explanations. You need to understand it to replicate it.
Your findings are rigorous but the funder isn't a specialist. You need to explain complex results in accessible language.
Select abstract + conclusion, right-click → "Summarize". Quickly assess if a paper is worth deep reading.
Select foreign text, right-click → "Translate". Get accurate translations that preserve technical meaning.
Highlight complex methodology, right-click → "Explain". Get plain-language explanations of statistical techniques.
Select technical text, right-click → "Rewrite". Get clearer versions for proposals, presentations, or public communication.
Find papers in your field
Summarize to assess relevance
Explain complex methods
Rewrite for your audience
From a Paper (Methods Section):
"We employed a mixed-effects model with restricted maximum likelihood estimation to account for the hierarchical structure of the data. The fixed effects included treatment condition and time, while random intercepts were specified for participants nested within clusters. Model fit was assessed using the Akaike Information Criterion and likelihood ratio tests."
After "Explain":
"They used a statistical method designed for data where measurements are grouped (like patients within hospitals). The analysis looked at how treatment and time affected the outcome, while accounting for the fact that people in the same group might be more similar to each other. They checked if the model fit the data well using standard statistical measures."
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