| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.383 | | leniency | 0.766 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1256 | | totalAiIsmAdverbs | 2 | | 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) | |
| 52.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1256 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "electric" | | 1 | "familiar" | | 2 | "weight" | | 3 | "scanned" | | 4 | "pulse" | | 5 | "etched" | | 6 | "trembled" | | 7 | "rhythmic" | | 8 | "silence" | | 9 | "footsteps" |
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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 | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1229 | | ratio | 0.003 | | matches | | 0 | "pushed" | | 1 | "inside" | | 2 | "wall" | | 3 | "rifts" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 842 | | uniqueNames | 14 | | maxNameDensity | 2.73 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 23 | | London | 1 | | Veil | 1 | | Market | 2 | | Kowalski | 2 | | British | 1 | | Museum | 1 | | Aurora | 1 | | Eva | 19 | | Enochian | 1 | | Morris | 2 | | Silence | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Museum" | | 4 | "Aurora" | | 5 | "Eva" | | 6 | "Morris" | | 7 | "Silence" |
| | places | | | globalScore | 0.134 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.441 | | wordCount | 1229 | | matches | | 0 | "not settling north, but jerking toward the east wall" | | 1 | "Neither here nor" | | 2 | "not at the compass, but at the *wall*, like she could see through it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 19.82 | | std | 18.65 | | cv | 0.941 | | sampleLengths | | 0 | 78 | | 1 | 12 | | 2 | 86 | | 3 | 51 | | 4 | 12 | | 5 | 71 | | 6 | 15 | | 7 | 14 | | 8 | 48 | | 9 | 9 | | 10 | 25 | | 11 | 31 | | 12 | 4 | | 13 | 10 | | 14 | 1 | | 15 | 40 | | 16 | 3 | | 17 | 56 | | 18 | 36 | | 19 | 23 | | 20 | 46 | | 21 | 7 | | 22 | 11 | | 23 | 7 | | 24 | 21 | | 25 | 9 | | 26 | 17 | | 27 | 25 | | 28 | 34 | | 29 | 45 | | 30 | 3 | | 31 | 12 | | 32 | 2 | | 33 | 11 | | 34 | 13 | | 35 | 30 | | 36 | 9 | | 37 | 7 | | 38 | 34 | | 39 | 9 | | 40 | 4 | | 41 | 6 | | 42 | 3 | | 43 | 16 | | 44 | 17 | | 45 | 25 | | 46 | 15 | | 47 | 8 | | 48 | 11 | | 49 | 19 |
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| 96.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 115 | | matches | | 0 | "been erased" | | 1 | "being dismissed" | | 2 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 148 | | matches | | 0 | "were breathing" | | 1 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 143 | | ratio | 0.098 | | matches | | 0 | "The air in the abandoned Tube station hung thick with damp and something else—something metallic, electric at the back of the throat." | | 1 | "Her left hand twitched toward her watch—its familiar weight a silent tick against her wrist—but she caught herself, jaw tightening." | | 2 | "But Quinn had been watching it for months—rumblings in missing persons reports, odd energy surges near closed tunnels, and whispers of a place that only opened when the moon bled white through cloud cover." | | 3 | "A single bone token—the entry requirement, she’d learned from intercepted occult chatter—lay crushed near the tracks, half-submerged in oily runoff." | | 4 | "She looked out of place—too young, too academic—but Quinn had read her file." | | 5 | "Eva hesitated, then stepped forward, tucking a curl behind her left ear—her tell." | | 6 | "But the needle—thin, silver—trembled violently, not settling north, but jerking toward the east wall, where a section of tiling bulged unnaturally outward, as if the bricks behind it were breathing." | | 7 | "Her training screamed at her—no evidence of forced entry, no blood, no footprints." | | 8 | "But her instincts, the ones that had carried her through 18 years and the loss of Morris—those whispered something older, stranger." | | 9 | "Then—just once—a pulse." | | 10 | "She studied Eva—her grip on the satchel, the ink smudges on her fingers, the way she looked not at the compass, but at the *wall*, like she could see through it." | | 11 | "Then—distant, metallic—the sound of footsteps on the stairs." | | 12 | "A vendor from the Market—hooded, face shadowed—darted into view, then froze at the sight of Quinn’s badge, glowing faintly in the dark." | | 13 | "The compass in Quinn’s hand twitched—then snapped hard toward the north tunnel." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 870 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.0367816091954023 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01264367816091954 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 8.59 | | std | 7.74 | | cv | 0.9 | | sampleLengths | | 0 | 22 | | 1 | 30 | | 2 | 20 | | 3 | 4 | | 4 | 2 | | 5 | 7 | | 6 | 5 | | 7 | 6 | | 8 | 4 | | 9 | 34 | | 10 | 20 | | 11 | 3 | | 12 | 9 | | 13 | 1 | | 14 | 1 | | 15 | 8 | | 16 | 4 | | 17 | 15 | | 18 | 20 | | 19 | 12 | | 20 | 12 | | 21 | 2 | | 22 | 18 | | 23 | 6 | | 24 | 20 | | 25 | 13 | | 26 | 8 | | 27 | 1 | | 28 | 2 | | 29 | 1 | | 30 | 4 | | 31 | 4 | | 32 | 7 | | 33 | 14 | | 34 | 13 | | 35 | 35 | | 36 | 4 | | 37 | 5 | | 38 | 11 | | 39 | 14 | | 40 | 3 | | 41 | 5 | | 42 | 7 | | 43 | 9 | | 44 | 7 | | 45 | 4 | | 46 | 2 | | 47 | 8 | | 48 | 1 | | 49 | 7 |
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| 77.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4825174825174825 | | totalSentences | 143 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 88 | | matches | | 0 | "Especially not ones with Aurora" | | 1 | "Then back at the wall." | | 2 | "Then—just once—a pulse." | | 3 | "Then—distant, metallic—the sound of footsteps" | | 4 | "Then, slowly, pulled back their" |
| | ratio | 0.057 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 88 | | matches | | 0 | "Her left hand twitched toward" | | 1 | "She scanned the platform." | | 2 | "She wore a worn leather" | | 3 | "She looked out of place—too" | | 4 | "She carried herself like someone" | | 5 | "She pointed to the paramedics" | | 6 | "She checked the man’s pulse," | | 7 | "She reached into her coat," | | 8 | "She stood, walked forward." | | 9 | "She pulled a glove from" | | 10 | "she asked, holding it up" | | 11 | "It hummed faintly." | | 12 | "She glanced at the crushed" | | 13 | "Her training screamed at her—no" | | 14 | "She walked to the wall." | | 15 | "She studied Eva—her grip on" |
| | ratio | 0.182 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 88 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "Her left hand twitched toward" | | 3 | "This wasn’t just another derelict" | | 4 | "This was the Veil Market." | | 5 | "She scanned the platform." | | 6 | "A single bone token—the entry" | | 7 | "The scent of burnt sage" | | 8 | "A voice, low and tense," | | 9 | "Eva Kowalski stood beneath crumbling" | | 10 | "She wore a worn leather" | | 11 | "She looked out of place—too" | | 12 | "Civilians didn’t belong here." | | 13 | "Quinn kept her tone flat," | | 14 | "Eva hesitated, then stepped forward," | | 15 | "Quinn’s brow arched" | | 16 | "Eva said, lifting her chin" | | 17 | "Quinn studied her." | | 18 | "Eva’s green eyes didn’t waver." | | 19 | "Freckles stood sharp in the" |
| | ratio | 0.659 | |
| 56.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 88 | | matches | | | ratio | 0.011 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "But the needle—thin, silver—trembled violently, not settling north, but jerking toward the east wall, where a section of tiling bulged unnaturally outward, as i…" | | 1 | "But her instincts, the ones that had carried her through 18 years and the loss of Morris—those whispered something older, stranger." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn kept, controlled" | | 1 | "Quinn asked, voice dry" | | 2 | "Quinn said, voice low" |
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| 86.17% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "Eva whispered (whisper)" | | 1 | "Eva admitted (admit)" | | 2 | "Eva breathed (breathe)" |
| | dialogueSentences | 47 | | tagDensity | 0.255 | | leniency | 0.511 | | rawRatio | 0.25 | | effectiveRatio | 0.128 | |