logic_check

To check for plot logic gaps, input your chapter text, chapter info, previously written chapters, and character data. The system evaluates causality, motivation, and event progression, returning a structured JSON report of logical coherence issues and concrete modification plans.

Character motivation evaluation is the process of verifying that a character's actions align with their established traits and goals. It checks whether the narrative provides sufficient and reasonable motivation, flagging gaps in the logical coherence of the plot.

You get structured modification suggestions by providing the chapter text and related context to the logic check system. It outputs a machine-readable JSON report detailing issue severities, exact locations, and executable replacement text to fix the narrative inconsistencies.

Yes, you can check event progression and causality by including previously written chapters as input. This allows the system to cross-reference the current chapter against past events, ensuring the causal chain and narrative consistency remain intact across the storyline.

The best way to identify causality and reasoning jumps is to process the chapter outline alongside the actual chapter text. This evaluates event development against the planned structure, detecting irrational inferences or missing logical links in the narrative progression.

Yes, the logic check report includes severity levels for detected narrative issues. The machine-readable JSON output details the status, findings, issue locations, severities, and suggested fixes, providing optional auto-fix guidance for each logical gap.