aiagent-verify-module

AI evaluation verifies module completion by running a factual verification pipeline to analyze lesson files, checkpoints, and artifacts, generating a structured JSON report that confirms all outputs are correct.

To generate a comprehensive progress report for multiple lessons, run the verification script to collect factual data on produced files and checkpoints, then parse the structured JSON to enumerate per-lesson details and final grades.

Yes, AI assessment evaluates learning artifacts while remaining strictly read-only, ensuring the verification pipeline analyzes lesson outputs and checkpoints without modifying the original user progress data.

AI-driven module verification parses the JSON report to enumerate existing lessons and defined checkpoints, identifying incomplete outputs and generating actionable remediation steps within the structured evaluation report.

Yes, you must run the factual verification pipeline script to verify lesson checkpoints and artifacts, which produces the structured JSON output required to build the comprehensive module evaluation report.

AI evaluation for module progress is limited to read-only verification of existing files, checkpoints, and artifacts, meaning it cannot modify user progress or execute lessons to generate missing outputs.