Trustworthy results

Checked results, even with software you have not used

A research task is done when its results hold up. The agent runs adversarial review to check whether the task is really complete, and the workspace records parameter choices, errors and fixes so you can check each step.

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How results are checked

Adversarial review · Full records · Re-runnable

Review reduces errors; scientific conclusions still need your judgment.

How it works

Adversarial review

After a task finishes, a reviewing agent checks whether conclusions are supported by the data, whether metrics are computed correctly and whether controls are complete, for example data leakage, misaligned baselines or simulations that have not equilibrated.

Checks the task is really done
Flags missing controls
Asks for extra validation

A full record of the process

The workspace keeps every command, parameter file, error and change. You can follow the record to see why each step was taken.

Command history
Parameter notes
Errors and fixes

Runs can be repeated

Code, environment versions and data stay in one workspace. Results can be reproduced, or you can change parameters and continue experimenting.

Environment versions
Input files
Run logs

Start a task that needs checking

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