From research question to analyzable model responses
Use guided steps to specify manipulations, run single-turn text trials and inspect coded evidence; retain expert control of the method.
Capability areas
Hypotheses & experimental design
Define a testable question and discrete factors, then compare factorial, fractional, matched-pair, or custom designs. Review AI suggestions before use.Learn morePrompt construction
Translate factor levels into inspectable prompts with versioned snippets, a variation grid, and an AI drafting wizard.Learn moreExperiment execution
Pilot and dispatch single-turn text trials to available OpenRouter models; review estimated, variable costs and retain trial metadata.Learn moreResponse coding
Apply defined extraction rules or judge rubrics, inspect agreement, and validate automated codes with human review.Learn moreAnalysis & visualization
Compare coded outcomes and uncertainty with available statistical methods and diagnostics; interpret results in light of the study design.Learn moreWrite-up assistance
Draft study-report sections for expert review, check citations, and export to Word, Markdown, or LaTeX.Learn moreReproducibility
Export recorded prompts, parameters, coding, trial records, and results so others can inspect what was run; provider changes can limit exact repetition.Learn moreR&D documentation
Organize project uncertainty statements, activity records, and effort entries in an exportable evidence package; qualification decisions require expert advice.Learn more
A study connects a researcher-defined question to manipulated conditions, individual model-response trials, and a defined outcome. The prompt-sensitivity walkthrough illustrates one way to examine wording variation.
The eight capabilities below follow the study workflow. Researchers still choose and justify the question, check prompts and measures, validate coding, interpret results, and decide what to report. AIScholar supports single-turn text responses from OpenRouter-served models; it does not establish general claims about model behavior. Estimate subject-model and any judge-model charges before running: those calls use your OpenRouter key, and provider prices, availability, and plan limits can change. See the cost guidance.
New to the platform? The overview on the home page walks the study workflow end to end.
Study LLM behavior with a guided research workflow.
Design controlled text studies, collect model responses, and explore what changes across conditions. You decide what the evidence means.