| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.469 | | leniency | 0.938 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1081 | | 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) | |
| 67.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1081 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "cataloged" | | 1 | "wavering" | | 2 | "standard" | | 3 | "silk" | | 4 | "weight" | | 5 | "etched" |
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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 | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 95.43% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 1 | | maxSentenceWordsSeen | 72 | | ratio | 0.012 | | matches | | 0 | "\"But he is. It's like he went limp. The medical examiner says rapid cardiovascular collapse. Or a sudden neurological event. Stroke. Or heart attack. At twenty-eight, with no prior…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1079 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.68% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 654 | | uniqueNames | 9 | | maxNameDensity | 2.45 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 16 | | London | 1 | | Victorian | 1 | | Sergeant | 1 | | Croft | 5 | | July | 2 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Victorian" | | 4 | "Sergeant" | | 5 | "Croft" |
| | places | | | globalScore | 0.277 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1079 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 41.5 | | std | 30.15 | | cv | 0.727 | | sampleLengths | | 0 | 101 | | 1 | 94 | | 2 | 9 | | 3 | 37 | | 4 | 57 | | 5 | 11 | | 6 | 71 | | 7 | 70 | | 8 | 79 | | 9 | 7 | | 10 | 16 | | 11 | 77 | | 12 | 10 | | 13 | 21 | | 14 | 49 | | 15 | 5 | | 16 | 38 | | 17 | 33 | | 18 | 35 | | 19 | 79 | | 20 | 7 | | 21 | 16 | | 22 | 77 | | 23 | 10 | | 24 | 21 | | 25 | 49 |
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| 64.58% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 8 | | totalSentences | 69 | | matches | | 0 | "was used" | | 1 | "were curled" | | 2 | "was etched" | | 3 | "were disturbed" | | 4 | "been kicked" | | 5 | "was etched" | | 6 | "were disturbed" | | 7 | "been kicked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 112 | | matches | (empty) | |
| 9.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 86 | | ratio | 0.047 | | matches | | 0 | "The face was etched with faint, swirling lines that weren't decorative—they were sigils." | | 1 | "She could smell ozone, copper, and something else—like burnt caramel." | | 2 | "The face was etched with faint, swirling lines that weren't decorative—they were sigils." | | 3 | "She could smell ozone, copper, and something else—like burnt caramel." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 657 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.0182648401826484 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0121765601217656 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 12.55 | | std | 11.73 | | cv | 0.935 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 23 | | 3 | 6 | | 4 | 38 | | 5 | 8 | | 6 | 8 | | 7 | 7 | | 8 | 71 | | 9 | 6 | | 10 | 3 | | 11 | 37 | | 12 | 10 | | 13 | 5 | | 14 | 12 | | 15 | 8 | | 16 | 12 | | 17 | 10 | | 18 | 3 | | 19 | 8 | | 20 | 4 | | 21 | 67 | | 22 | 3 | | 23 | 7 | | 24 | 21 | | 25 | 33 | | 26 | 6 | | 27 | 12 | | 28 | 7 | | 29 | 4 | | 30 | 7 | | 31 | 8 | | 32 | 13 | | 33 | 2 | | 34 | 13 | | 35 | 13 | | 36 | 7 | | 37 | 6 | | 38 | 10 | | 39 | 3 | | 40 | 6 | | 41 | 17 | | 42 | 19 | | 43 | 18 | | 44 | 4 | | 45 | 10 | | 46 | 6 | | 47 | 4 | | 48 | 21 | | 49 | 20 |
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| 44.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3372093023255814 | | totalSentences | 86 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 59 | | matches | | 0 | "Just a faint, almost imperceptible" | | 1 | "Just a faint, almost imperceptible" |
| | ratio | 0.034 | |
| 16.61% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 59 | | matches | | 0 | "She was used to London's" | | 1 | "She gave a quick visual" | | 2 | "Her eyes cataloged the scene" | | 3 | "His face was pale under" | | 4 | "He adjusted his glasses, his" | | 5 | "She let her eyes work." | | 6 | "His hands were curled loosely" | | 7 | "His face was slack, eyes" | | 8 | "His skin held a faint," | | 9 | "She knew the weight of" | | 10 | "She had carried it for" | | 11 | "She stood, brushing dust from" | | 12 | "She walked over to the" | | 13 | "It was cold, heavier than" | | 14 | "She turned it over in" | | 15 | "It pointed straight down the" | | 16 | "She looked back at the" | | 17 | "She leaned in closer." | | 18 | "She could smell ozone, copper," | | 19 | "She examined it under the" |
| | ratio | 0.508 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 59 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "She was used to London's" | | 3 | "She gave a quick visual" | | 4 | "Her eyes cataloged the scene" | | 5 | "Detective Sergeant Croft met her" | | 6 | "His face was pale under" | | 7 | "He adjusted his glasses, his" | | 8 | "Quinn gave a short, precise" | | 9 | "Croft gestured to the body" | | 10 | "Quinn lowered herself into a" | | 11 | "She let her eyes work." | | 12 | "Voss was clean-shaven, wearing a" | | 13 | "His hands were curled loosely" | | 14 | "His face was slack, eyes" | | 15 | "His skin held a faint," | | 16 | "Quinn didn't flinch." | | 17 | "She knew the weight of" | | 18 | "She had carried it for" | | 19 | "She stood, brushing dust from" |
| | ratio | 0.966 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn repeated (repeat)" |
| | dialogueSentences | 32 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.125 | | effectiveRatio | 0.063 | |