You are the captain

Chart Your Course.
Defend Every Result.

Empiricist guides your research from question to publication-ready evidence. It recommends the route, warns of hazards, and runs the machinery. You keep the wheel.

Enter the Demo See the Research Voyage
Inspect every method Raw rows stay out of AI prompts Reproduce every result
Sleep & academic performance — Research workspace
Current studySleep & academic performance
Data & evidence120 participants · profiled
Chat with your dataPlan, analyse & follow up
Your evidence is aboard. I profiled both sources independently and preserved their exact versions.
Evidence manifest · 2 selected sources
sleep_study.csv120 rows · 6 variables · Dataset v1Profiled
caffeine_diary.csv120 rows · 4 variables · Dataset v3Profiled
Sources remain separate unless the Captain confirms how their records relate.
Does sleep quality predict exam score after controlling for study time and caffeine?
I mapped your variables and study design. Here is a defensible course for you to review.
Guided Course Review
Multiple linear regression
Estimate the relationship between sleep quality and exam score while holding study time and caffeine constant.
Assumptions checked before interpretation
Effect size & 95% interval included
Captain’s decisionInspect, amend, reject, or approve this exact course.Approve This Plan & Run
The run completed in isolation. Here is the finding—with its uncertainty and full record intact.
Publication-Ready Result
Better sleep quality predicted higher exam scores, β = .31, 95% CI [.14, .47].The relationship remained after accounting for study time and caffeine. No critical assumption violation was detected.
Reproducibility record · Dataset v1 · SHA-256 verified · exact Python script · seed 42
The Research Voyage

One Calm Route Through Complicated Analysis.

Bring the question and evidence. Empiricist keeps each decision understandable, inspectable, and attached to the result it produced.

01 · EVIDENCE

Bring Your Evidence Aboard

Import surveys, spreadsheets, and interview transcripts. Inspect quality, missingness, and limitations before analysis begins.

02 · COURSE

Chart the Right Course

Describe the research question in your words. Review the proposed method, assumptions, variables, and alternatives before it counts.

03 · RECORD

Publish With the Log Intact

Receive APA-ready tables, charts, and writing alongside the exact code, data version, assumptions, and audit record.

The Captain Principle

AI Navigates.
You Decide.

Empiricist can recommend a method and operate the statistical machinery. It cannot quietly change the question, hide a failed assumption, or manufacture certainty.

“The researcher remains the author of every defensible claim.”
Captain’s LogComplete & verified
Research decision
Multiple regression approved against Dataset v1
Input evidence
sleep_study.csv · 120 rows · 6 variables
Assumptions
Linearity, residual normality, and multicollinearity checked
Execution
Python · isolated · network disabled · seed 42
Provenance
SHA-256 58c8…91ad · exact script retained
Built for Defensible Research

Trust Is Part of the Result.

A polished answer is not enough. Empiricist keeps the evidence, computation, uncertainty, and researcher decision within reach.

Data-Minimised AI

AI works from variable metadata and summary profiles. Raw participant rows do not enter model prompts.

Inspectable Computation

Statistical libraries compute the numbers. Researchers can inspect and revise the exact generated Python.

Honest Uncertainty

Assumption failures, missingness, weak evidence, and degraded AI behavior stay visible beside the finding.

Take the Wheel.

Explore the complete evidence-to-result journey with a prepared research workspace and safe demonstration data.

One demo account · shared demonstration data · limited execution capacity · do not upload sensitive or personal data
Enter the Demo