PRIVATE CREDIT · ONE RL ENVIRONMENT

A plausible memo.
A defensible decision?

Follow an agent’s attempt, inspect the senior correction, then see exactly why the grade changes.

FICTIONAL WORLD · AUTHORED TRAPS

Scripted replay: not a live model run.

Fictional documents and tool results. Scores come from the implemented grader.

Open the complete credit review demo

What you’re looking at

An AI agent gets five fictional documents, tools to read and calculate, and one task: underwrite this loan. Explore its work in three short chapters, or take the agent’s seat yourself.

THE BORROWERNorthwind LogisticsFictional regional logistics company
REQUESTED FACILITY$40MSenior unitranche · USD millions
MANAGEMENT EBITDA$13MIncludes projected synergies
THE AGENT’S TASKUnderwrite the requestUse evidence. Set conditions.
Opening the synthetic data room…

THE INTENDED SOURCE-INFORMED WORKFLOW

Where this comes from
in production.

A real agent makes a mistake, a senior corrects it, and Loomwell rebuilds the lesson in a fictional world. That is the intended production workflow, subject to source permission, review, and agreed use.

This demo’s traps are authored to show the format. They do not come from a supplier’s production record. Source-informed releases and independent expert calibration remain to be demonstrated.

FROM A DEMO TO YOUR EVALUATION

Which finance decision
does your agent miss?

Discuss your task, tool interface, grading requirements, and missing coverage. A useful pilot starts with a specific gap.

Discuss an evaluation