| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said again [again]" | | 1 | "She pointed back [back]" |
| | dialogueSentences | 42 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.222 | | effectiveRatio | 0.095 | |
| 86.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1432 | | totalAiIsmAdverbs | 4 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "reluctantly" | | 1 | "really" | | 2 | "quickly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 44.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1432 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "wavering" | | 1 | "silence" | | 2 | "flicker" | | 3 | "stark" | | 4 | "vibrated" | | 5 | "flickered" | | 6 | "pulsed" | | 7 | "whisper" | | 8 | "searing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 146 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 146 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 40.11% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 45 | | markdownWords | 114 | | totalWords | 1426 | | ratio | 0.08 | | matches | | 0 | "wrong" | | 1 | "Not a power surge. Not a trick of the eyes." | | 2 | "not from the station’s decay, but fresh, scattered in a deliberate arc" | | 3 | "precise" | | 4 | "terror" | | 5 | "Recent" | | 6 | "contained" | | 7 | "in" | | 8 | "held" | | 9 | "Not blood. Something else." | | 10 | "damn it" | | 11 | "Not Greek. Not Latin." | | 12 | "Good. He should be." | | 13 | "warning" | | 14 | "Magic." | | 15 | "Supernatural." | | 16 | "died" | | 17 | "answer me" | | 18 | "Too warm." | | 19 | "not a sound, a feeling" | | 20 | "hum" | | 21 | "“You shouldn’t be here.”" | | 22 | "inside" | | 23 | "“She’s coming.”" | | 24 | "inside" | | 25 | "“She’s coming, and she’s hungry.”" | | 26 | "we need to go" | | 27 | "screamed" | | 28 | "poured" | | 29 | "soul" | | 30 | "hell" | | 31 | "flashes of something vast and hungry, of teeth and shadows, of a woman with eyes like polished obsidian" | | 32 | "Morris had been right." | | 33 | "spoken" | | 34 | "shown" | | 35 | "mad" | | 36 | "spoke" | | 37 | "warned" | | 38 | "listen to yourself" | | 39 | "madman" | | 40 | "do" | | 41 | "doorway" | | 42 | "spoke" | | 43 | "knew" | | 44 | "invitation" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1148 | | uniqueNames | 6 | | maxNameDensity | 1.13 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 13 | | Tube | 1 | | Greek | 1 | | Davies | 7 | | Morris | 2 | | Didn | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Davies" | | 2 | "Morris" |
| | places | (empty) | | globalScore | 0.934 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 1 | | matches | | 0 | "quite match the angles of the room" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.701 | | wordCount | 1426 | | matches | | 0 | "not from the station’s decay, but fresh, scattered in a deliberate arc*" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 21.28 | | std | 18.69 | | cv | 0.878 | | sampleLengths | | 0 | 1 | | 1 | 70 | | 2 | 36 | | 3 | 68 | | 4 | 23 | | 5 | 68 | | 6 | 25 | | 7 | 25 | | 8 | 56 | | 9 | 15 | | 10 | 10 | | 11 | 70 | | 12 | 16 | | 13 | 7 | | 14 | 10 | | 15 | 37 | | 16 | 3 | | 17 | 45 | | 18 | 8 | | 19 | 28 | | 20 | 14 | | 21 | 4 | | 22 | 25 | | 23 | 58 | | 24 | 27 | | 25 | 5 | | 26 | 1 | | 27 | 15 | | 28 | 54 | | 29 | 3 | | 30 | 25 | | 31 | 3 | | 32 | 38 | | 33 | 4 | | 34 | 10 | | 35 | 17 | | 36 | 25 | | 37 | 2 | | 38 | 32 | | 39 | 5 | | 40 | 12 | | 41 | 3 | | 42 | 42 | | 43 | 5 | | 44 | 1 | | 45 | 1 | | 46 | 26 | | 47 | 30 | | 48 | 36 | | 49 | 4 |
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| 95.65% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 146 | | matches | | 0 | "was frozen" | | 1 | "was *held" | | 2 | "been posed" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 200 | | matches | | |
| 1.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 182 | | ratio | 0.049 | | matches | | 0 | "The bone token burned cold against Quinn’s palm as she stepped through the rusted service door, the scent of damp concrete and something older—something *wrong*—hitting her like a physical blow." | | 1 | "Her boots crunched over broken glass—*not from the station’s decay, but fresh, scattered in a deliberate arc*—as she moved toward the corpse." | | 2 | "And the knife—she leaned in, her breath fogging the air between them—wasn’t just *in* his hand." | | 3 | "The darkness swallowed her, but not before she caught the flicker of something at the edge of her vision—a symbol, carved into the wall." | | 4 | "The symbol pulsed, once, twice—like a heartbeat." | | 5 | "A sound tore through the corridor—*not a sound, a feeling*—a deep, resonant *hum* that vibrated in her bones." | | 6 | "The light *poured* into her, filling her vision, her mind, her *soul*—" | | 7 | "—and then it was gone." | | 8 | "Her mind was a storm of images—*flashes of something vast and hungry, of teeth and shadows, of a woman with eyes like polished obsidian*—and beneath it all, a single, terrifying thought:" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 201 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.029850746268656716 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 7.82 | | std | 5.98 | | cv | 0.764 | | sampleLengths | | 0 | 30 | | 1 | 30 | | 2 | 4 | | 3 | 6 | | 4 | 15 | | 5 | 18 | | 6 | 3 | | 7 | 3 | | 8 | 22 | | 9 | 18 | | 10 | 11 | | 11 | 7 | | 12 | 3 | | 13 | 4 | | 14 | 12 | | 15 | 6 | | 16 | 5 | | 17 | 14 | | 18 | 12 | | 19 | 11 | | 20 | 10 | | 21 | 21 | | 22 | 10 | | 23 | 8 | | 24 | 1 | | 25 | 6 | | 26 | 5 | | 27 | 20 | | 28 | 8 | | 29 | 6 | | 30 | 2 | | 31 | 2 | | 32 | 6 | | 33 | 16 | | 34 | 3 | | 35 | 13 | | 36 | 12 | | 37 | 3 | | 38 | 7 | | 39 | 3 | | 40 | 6 | | 41 | 16 | | 42 | 12 | | 43 | 12 | | 44 | 20 | | 45 | 2 | | 46 | 2 | | 47 | 6 | | 48 | 10 | | 49 | 3 |
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| 41.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.26373626373626374 | | totalSentences | 182 | | uniqueOpeners | 48 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 118 | | matches | | 0 | "Then the lights went out." | | 1 | "Then, from the darkness ahead," |
| | ratio | 0.017 | |
| 87.80% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 118 | | matches | | 0 | "He stood over the body," | | 1 | "Her boots crunched over broken" | | 2 | "They were *precise*." | | 3 | "He wanted her to say" | | 4 | "She reached for the victim’s" | | 5 | "She ignored him, her gaze" | | 6 | "It was *held*." | | 7 | "She stood, her joints protesting" | | 8 | "She moved past him, her" | | 9 | "It led to a service" | | 10 | "She didn’t turn." | | 11 | "She ignored him, pulling her" | | 12 | "she called over her shoulder" | | 13 | "She turned, the torchlight catching" | | 14 | "He was scared." | | 15 | "He should be.*" | | 16 | "she said again, softer this" | | 17 | "It was a *warning*." | | 18 | "She turned back to the" | | 19 | "Her torch flickered." |
| | ratio | 0.331 | |
| 57.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 118 | | matches | | 0 | "The bone token burned cold" | | 1 | "The abandoned Tube station yawned" | | 2 | "He stood over the body," | | 3 | "Quinn didn’t answer." | | 4 | "Her boots crunched over broken" | | 5 | "The victim lay sprawled across" | | 6 | "Blood pooled black under the" | | 7 | "The edges of the wound" | | 8 | "They were *precise*." | | 9 | "He wanted her to say" | | 10 | "Quinn crouched, the leather of" | | 11 | "The victim’s face was frozen" | | 12 | "This was the look of" | | 13 | "She reached for the victim’s" | | 14 | "The skin was cold, but" | | 15 | "Davies exhaled through his nose." | | 16 | "She ignored him, her gaze" | | 17 | "The blood pattern was all" | | 18 | "It was *held*." | | 19 | "Fingers curled around the hilt" |
| | ratio | 0.805 | |
| 42.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 118 | | matches | | 0 | "—and then it was gone." |
| | ratio | 0.008 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "The abandoned Tube station yawned before her, its tiled walls slick with condensation, the flickering emergency lights casting long, wavering shadows that didn’…" | | 1 | "Something that made the hairs on the back of her neck stand on end." | | 2 | "A sound tore through the corridor—*not a sound, a feeling*—a deep, resonant *hum* that vibrated in her bones." | | 3 | "It was *inside* her, coiling around her thoughts, tightening like a noose." | | 4 | "Quinn gasped, her lungs burning as if she’d been holding her breath for minutes." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 4 | | matches | | 0 | "She stood, her joints protesting" | | 1 | "She whirled, her voice a snarl" | | 2 | "She yanked, her breath coming fast" | | 3 | "She pointed back, her hand steady despite the storm inside her" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.048 | | leniency | 0.095 | | rawRatio | 0 | | effectiveRatio | 0 | |