strict-narration

To remove author commentary and maintain deep POV, rewrite your scene so the narrative camera records only the character's senses and actions. This eliminates narrator intrusion and filtering words, ensuring immersive, cinematic observation throughout the scene.

MRU-based structure in storytelling orders motivation, responses, and actions to preserve narrative realism. It ensures scene-driven information delivery by sequencing cause-and-effect flow through the character's direct experiences rather than relying on background exposition.

To fix off-narration patterns and background exposition in creative writing, apply a six-mode check to detect author commentary, general summaries, and knowledge dumps. Transform background data into in-scene details delivered via dialogue, action, or physical objects to maintain immersion.

Yes, you can use strict narration rules to coach AI writing prompts for scene-by-scene drafting. By specifying operational requirements and MRU-based sequence checks, AI-assisted storytelling maintains character-centric narration and deep POV across chapters.

The best way to apply show don't tell when converting general summaries into immersive narration is to transform background data into in-scene details. Use dialogue, action, and physical objects to deliver information while maintaining a camera-like observation perspective.

Your narrative feels distant because overt emotions and selective narration break deep POV by introducing narrator intrusion. Fix this by applying mode checks to detect these off-narration patterns and rewriting to show emotions through character actions and sensory details.