What's included

• A Grading Criteria Document

  A comprehensive, evolving document that defines what "good" AI output looks like for your specific use case. This includes scoring rubrics, quality thresholds, edge case handling rules, and examples of acceptable vs. unacceptable outputs. Unlike static documentation, this document is designed to be updated as your understanding of quality evolves, serving as the foundation for all future AI evaluation and improvement efforts.

• Baseline Performance Report

  A quantified analysis of your AI system's current performance, documenting all identified error modes with specific metrics. This report includes failure rates, error categories, cost analysis, and impact assessment for each problem area. It serves as your "before" snapshot, establishing concrete benchmarks against which all improvements will be measured.

• Final Improvement Report

  A comprehensive before/after comparison showing exactly what was fixed and by how much. This report quantifies the measurable improvements achieved across all error modes, including reduced failure rates, cost savings, and enhanced reliability metrics. It provides concrete evidence of ROI and serves as documentation for stakeholders on the tangible value delivered.