lab-eval

Automated webnovel quality control uses a three-committee agent architecture to evaluate manuscripts, enforcing an 80-point quality threshold that triggers structural rewrites before deployment. This ensures professional-grade narrative output without manual subjectivity.

Multi-dimensional manuscript evaluation assesses genre and plot structure, factual consistency against domain-specific facts, and character depth or prose quality. Three specialized AI agents perform these narrative structure and consistency checks simultaneously.

Enforce a quality threshold by setting an automated 80-point grading requirement that gates webnovel deployment. Manuscripts failing this score automatically trigger an iterative revision cycle for structural rewrites, ensuring only professional-grade content reaches publication.

You can audit a 25-episode webnovel arc for character consistency and factual accuracy against domain-specific admission system facts. The evaluation agents check narrative structure and character depth simultaneously to ensure publication readiness.

If a manuscript fails the automated evaluation score by dropping below the 80-point threshold, the system triggers an automated feedback loop for iterative structural rewrites. This prevents potentially successful stories from being permanently shelved.