| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn stood abruptly [abruptly]" |
| | dialogueSentences | 30 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.083 | | effectiveRatio | 0.067 | |
| 95.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1141 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 64.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1141 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulse" | | 1 | "chill" | | 2 | "stomach" | | 3 | "quickened" | | 4 | "echoed" | | 5 | "echoing" | | 6 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 21 | | markdownWords | 32 | | totalWords | 1124 | | ratio | 0.028 | | matches | | 0 | "old" | | 1 | "exsanguination" | | 2 | "recognition" | | 3 | "waiting" | | 4 | "gripping" | | 5 | "THE VEIL IS NEAR." | | 6 | "warning" | | 7 | "sandy" | | 8 | "occult researcher" | | 9 | "know" | | 10 | "Grimoire of the Forgotten" | | 11 | "The Last Veil Market, 1923." | | 12 | "moves" | | 13 | "hunts" | | 14 | "chooses" | | 15 | "him" | | 16 | "click" | | 17 | "compass" | | 18 | "hell" | | 19 | "pulsing" | | 20 | "key" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 936 | | uniqueNames | 12 | | maxNameDensity | 1.71 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 2 | | Harlow | 1 | | Quinn | 16 | | Morris | 1 | | Carter | 8 | | Veil | 3 | | Compass | 1 | | London | 1 | | Kowalski | 1 | | Eva | 6 | | Last | 1 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Carter" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | | | globalScore | 0.645 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "quite fear—more like *recognition" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1124 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 24.43 | | std | 21.42 | | cv | 0.877 | | sampleLengths | | 0 | 6 | | 1 | 78 | | 2 | 5 | | 3 | 65 | | 4 | 74 | | 5 | 44 | | 6 | 13 | | 7 | 11 | | 8 | 43 | | 9 | 15 | | 10 | 47 | | 11 | 5 | | 12 | 46 | | 13 | 4 | | 14 | 27 | | 15 | 10 | | 16 | 22 | | 17 | 50 | | 18 | 10 | | 19 | 45 | | 20 | 1 | | 21 | 24 | | 22 | 22 | | 23 | 13 | | 24 | 40 | | 25 | 7 | | 26 | 6 | | 27 | 11 | | 28 | 66 | | 29 | 9 | | 30 | 28 | | 31 | 12 | | 32 | 33 | | 33 | 5 | | 34 | 13 | | 35 | 36 | | 36 | 5 | | 37 | 69 | | 38 | 33 | | 39 | 5 | | 40 | 3 | | 41 | 9 | | 42 | 10 | | 43 | 31 | | 44 | 4 | | 45 | 9 |
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| 92.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 111 | | matches | | 0 | "were clasped" | | 1 | "was torn" | | 2 | "were lined" | | 3 | "were caked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 154 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 128 | | ratio | 0.094 | | matches | | 0 | "The air smelled wrong—too thick, too *old*, like damp wool left in a sealed chest for decades." | | 1 | "Three years since the last case, since the night the evidence had gone missing, since the coroner’s report had listed the cause of death as *exsanguination*—a word that didn’t belong in a medical examiner’s notes." | | 2 | "A man in a rumpled suit, his tie loosened, his face frozen in an expression that wasn’t quite fear—more like *recognition*." | | 3 | "She pressed two fingers to his neck—cold, but not the cold of death." | | 4 | "He was young—too young for this detail, really—but he had a sharp eye." | | 5 | "The walls were lined with graffiti—most of it faded, but one phrase stood out, scrawled in fresh black spray paint:" | | 6 | "Quinn’s fingers twitched toward the compass in her satchel—the Veil Compass, bought on a whim three months ago from a woman in a trench coat who’d smelled of burnt copper and old parchment." | | 7 | "Like—" | | 8 | "She turned just as a figure stepped into the dim light—a woman with curly red hair, her round glasses reflecting the fluorescents." | | 9 | "“I found this in the restricted archives. Page torn out of a first-edition *Grimoire of the Forgotten*.” She flipped to a dog-eared photograph—a black-and-white image of a Tube station, identical to this one, but with a crowd of people gathered around a flickering light in the distance." | | 10 | "Then she saw it—a jagged tear in the air, no wider than a man’s arm, but shimmering like oil on water." | | 11 | "And as she turned it over in her fingers, she realized—it wasn’t just a token." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 952 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small leather-bound journal" |
| | adverbCount | 38 | | adverbRatio | 0.03991596638655462 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0063025210084033615 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 8.78 | | std | 7.4 | | cv | 0.843 | | sampleLengths | | 0 | 6 | | 1 | 17 | | 2 | 2 | | 3 | 2 | | 4 | 17 | | 5 | 16 | | 6 | 24 | | 7 | 5 | | 8 | 8 | | 9 | 2 | | 10 | 35 | | 11 | 14 | | 12 | 4 | | 13 | 2 | | 14 | 18 | | 15 | 15 | | 16 | 21 | | 17 | 20 | | 18 | 9 | | 19 | 15 | | 20 | 3 | | 21 | 2 | | 22 | 13 | | 23 | 2 | | 24 | 13 | | 25 | 3 | | 26 | 8 | | 27 | 15 | | 28 | 13 | | 29 | 3 | | 30 | 12 | | 31 | 8 | | 32 | 7 | | 33 | 13 | | 34 | 8 | | 35 | 4 | | 36 | 3 | | 37 | 1 | | 38 | 15 | | 39 | 3 | | 40 | 3 | | 41 | 2 | | 42 | 11 | | 43 | 15 | | 44 | 20 | | 45 | 4 | | 46 | 3 | | 47 | 5 | | 48 | 9 | | 49 | 6 |
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| 47.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.328125 | | totalSentences | 128 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 92 | | matches | | 0 | "Too sharp, sometimes." | | 1 | "Instead, she crouched again, this" | | 2 | "Just two small, precise punctures," | | 3 | "Then she saw it—a jagged" | | 4 | "Instead, she crouched and picked" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 92 | | matches | | 0 | "She adjusted the strap of" | | 1 | "She exhaled through her nose," | | 2 | "His hands were clasped over" | | 3 | "She pressed two fingers to" | | 4 | "He was young—too young for" | | 5 | "She tilted her head, studying" | | 6 | "They weren’t just clasped." | | 7 | "They were *gripping*." | | 8 | "She paced the length of" | | 9 | "Her stomach twisted." | | 10 | "She’d heard rumors, of course." | | 11 | "She turned back to the" | | 12 | "She’d ignored its pull ever" | | 13 | "They were polished leather, expensive." | | 14 | "She pinched a handful between" | | 15 | "She turned just as a" | | 16 | "Her best friend." | | 17 | "Her *occult researcher* friend." | | 18 | "She flipped to a dog-eared" | | 19 | "She pointed to the corpse’s" |
| | ratio | 0.293 | |
| 63.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 92 | | matches | | 0 | "The Tube station was too" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The air smelled wrong—too thick," | | 3 | "She adjusted the strap of" | | 4 | "The time read 3:17 AM," | | 5 | "DS Morris would’ve hated this." | | 6 | "The thought hit her like" | | 7 | "She exhaled through her nose," | | 8 | "The body lay near the" | | 9 | "A man in a rumpled" | | 10 | "His hands were clasped over" | | 11 | "Quinn knelt, her gloved fingers" | | 12 | "The skin was too pale," | | 13 | "She pressed two fingers to" | | 14 | "a voice said from behind" | | 15 | "Quinn didn’t turn." | | 16 | "DS Carter, her new partner," | | 17 | "He was young—too young for" | | 18 | "Carter said, gesturing to the" | | 19 | "She tilted her head, studying" |
| | ratio | 0.793 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The time read 3:17 AM, but the station’s flickering fluorescents cast everything in a sickly green hue, as if the clock itself had stopped." | | 1 | "Three years since the last case, since the night the evidence had gone missing, since the coroner’s report had listed the cause of death as *exsanguination*—a w…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn stood abruptly, her boots scuffing against the concrete" | | 1 | "Quinn said, her voice flat" | | 2 | "Eva said, her voice low" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn interrupted (interrupt)" | | 1 | "Eva breathed (breathe)" |
| | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.2 | | effectiveRatio | 0.133 | |