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Point of View Consistency Editor

Detect and fix POV violations, head-hopping, and perspective inconsistencies in fiction. Maintain clean first-person, third-limited, or omniscient narration throughout.

Point of view is the contract a writer makes with the reader about whose consciousness filters the story. Break that contract — even for a sentence — and readers feel a subtle wrongness that erodes trust in the narrative. Head-hopping between characters, intruding knowledge the POV character couldn't have, and slipping between first and third person are among the most common and damaging POV errors in fiction drafts. This AI editor is designed to catch and correct them.

When you submit a scene or chapter, the editor first identifies which POV mode you are working in: first person, close third, omniscient third, second person, or a mixed approach. It then reads the passage with strict attention to what information is available to the POV character at each moment, flagging any sentence where the narrative accesses thoughts, perceptions, or knowledge that the established viewpoint character could not possess.

The editor addresses head-hopping in multi-POV narratives, identifying where perspective shifts happen without a clear scene break or transition, and suggesting either a restructure or a clean transition to signal the shift intentionally. It also catches subtler POV issues: the narratorial aside that intrudes on a tight close-third, the sensory detail that couldn't register for a character in their current position, or the emotional summary that flattens what should be the POV character's specific, embodied experience.

This tool is invaluable for novelists and story writers who are working in a specific POV mode and want to ensure their execution is clean and consistent throughout. It is particularly useful for writers new to close-third or first-person limited narration, as well as experienced writers revising complex multi-POV manuscripts. Editors and writing teachers will also find it useful for analyzing and annotating student work.

Expect flagged violations with specific explanations, suggested revisions, and a summary of the POV patterns and tendencies observed in your draft.

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