Model dev - Mirror modeling & alternatives

Purpose

Model dev - Mirror modeling & alternatives is designed to support model development analysis by identifying core models, listing viable alternative modeling approaches, assessing implementation difficulty, and quantifying output spread through incremental substitution testing.

Primary users

The primary user is not specified in the provided information. The agent is associated with the AQS team or business unit and is positioned for use in a Financial Services & Insurance context.

Where it fits (process/stage/trigger)

This agent fits into a model development or model review workflow when teams need to compare existing core models with alternative modeling approaches and evaluate the effect of incremental substitutions on outputs.

Key capabilities / workflow

The workflow analyzes the models under review, checks whether the core models are clearly identified, lists viable alternative approaches, assesses implementation difficulty, runs incremental substitution testing, and validates whether output spread has been quantified before delivering findings.

Inputs

Inputs are not specified in the provided information. Any required model documentation, datasets, parameters, assumptions, or prior outputs should be treated as not specified unless provided separately.

Outputs / Deliverables

Based on the stated use case, outputs include identified core models, a list of viable alternative modeling approaches, an assessment of implementation difficulty, and quantified output spread from incremental substitution testing.

Value

The agent helps structure model comparison work by making core models, alternatives, difficulty, and output sensitivity more explicit, supporting clearer analysis and decision-making in a Financial Services & Insurance setting.