prism-reflect

A structural audit identifies hidden problems in complex codebases through a three-phase process involving adversarial questioning and conservation law derivation. It forces a multi-perspective evaluation to overcome model-specific biases and generate a formal constraint transparency report.

Structural analysis is a rigorous technique used to objectively evaluate complex documentation and artifacts. It applies adversarial questioning to identify what the model is failing to see or intentionally concealing, generating a formal report detailing what was maximized and sacrificed.

Yes, structural analysis requires the ability to read and write files to maintain a persistent constraint history log. This allows the system to track analytical blind spots over time across a project-wide history file.

The best way to overcome AI bias is forcing a multi-perspective structural audit that explicitly identifies what the model is failing to see. This approach generates constraint transparency by detailing exactly what the analysis maximized and what it sacrificed.

Constraint transparency reporting should be used when objective evaluation of complex codebases is required to overcome model-specific biases. It provides a formal report detailing analytical blind spots and logs them to a project-wide history file to track issues over time.

A persistent constraint history log is required to track analytical blind spots over time. By writing formal constraint reports to a project-wide history file, the system ensures that hidden problems identified during structural audits are documented for future objective evaluation.