Use cases
One research agent across the whole workflow — from the first literature search to the submitted manuscript. Every artifact below carries the code and data that produced it, so your study is reproducible from day one.
Literature
Review the field with every claim cited
Ask a question and the agent fans out across PubMed, Crossref, OpenAlex, Semantic Scholar, and more — plus Scopus, Web of Science, and KCI when connected — then composes a report where every sentence carries an [n] citation to a real source. Uncited claims are removed, not published.
Hypothesis
Turn findings into testable hypotheses
From the reviewed literature, the agent helps you articulate constructs, expected directions, and competing explanations — and drafts a hypothesis map that links each prediction back to the studies that motivated it.
Experiment
Design studies with power you can defend
Describe the study you want to run and the agent surveys how related studies designed theirs, then produces a structured design document — protocol flow, measures, sample plan with a power curve — ready to hand to Qualtrics, PsychoPy, or your IRB.
Data Analysis
From raw signals to analysis-ready data
Load survey exports, interaction logs, or biosignals (facial AU, gaze, EDA, HRV) once per session and work by reference afterwards. Cleaning, merging, and exploratory checks surface missing data and anomalies explicitly instead of silently dropping them.
Statistics
Modern models with assumptions checked twice
Run factor analysis, SEM, reliability, mixed-effects, and Bayesian models through conversation. A separate review agent checks assumption violations, multiple comparisons, and sample-size concerns before results reach your report.
Writing
Manuscripts that never drift from the data
Methods and results sections come pre-filled from the analyses you actually ran, with every figure and table linked to its code and data source — so revisions reproduce in one click and nothing in the paper drifts from the evidence.