lab-polish

Automated web novel editing uses a multi-agent pipeline to systematically review and correct manuscripts across 12 narrative axes, including character voice and timeline consistency. This self-looping process validates narrative integrity continuously without manual intervention between chapters.

Narrative linting is the automated process of diagnosing and correcting quality degradation issues in long-form fiction. It operates by orchestrating specialized agents that perform parallel diagnosis and sequential correction across diverse narrative axes like character voice and timeline consistency.

Yes, automated linting can fact-check domain-specific details within a webnovel. The multi-agent pipeline includes specialized diagnosis and correction across diverse narrative axes, explicitly covering domain-specific fact-checking to maintain manuscript accuracy and consistency.

To start automated editing, trigger the pipeline to begin processing the current project starting from the next uncompleted episode. The self-looping execution model automatically iterates through episodes, ensuring continuous improvement and validating narrative integrity against project-specific configuration files.

Automated web novel editing relies on project-specific configuration files and guardrails to validate narrative integrity. The self-looping execution model checks the manuscript against these predefined references to ensure corrections align with established project standards and narrative rules.

Automated narrative linting focuses on systemic consistency across 12 axes like voice and timeline, but operates by validating against project-specific configuration files. manuscripts lacking predefined guardrails or references may not receive comprehensive correction or fact-checking.