| 85.71% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said quietly [quietly]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 35 | | tagDensity | 0.457 | | leniency | 0.914 | | rawRatio | 0.125 | | effectiveRatio | 0.114 | |
| 87.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2077 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "lazily" | | 1 | "perfectly" | | 2 | "very" |
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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) | |
| 73.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2077 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "measured" | | 1 | "shimmered" | | 2 | "etched" | | 3 | "perfect" | | 4 | "scanning" | | 5 | "weight" | | 6 | "familiar" | | 7 | "trembled" |
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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 | 132 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 132 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 8 | | totalWords | 2073 | | ratio | 0.004 | | matches | | 0 | "Codex Esotericum" | | 1 | "Veil Theory and Practice" | | 2 | "The clique." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1403 | | uniqueNames | 20 | | maxNameDensity | 1.57 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 3 | | Quinn | 22 | | Tube | 1 | | Camden | 1 | | Maglite | 1 | | Underground | 1 | | Morris | 3 | | Reynolds | 9 | | Kowalski | 2 | | British | 1 | | Museum | 1 | | Oxford | 1 | | Polish | 1 | | Theory | 1 | | August | 1 | | Wapping | 1 | | Eva | 14 | | Detective | 3 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Maglite" | | 3 | "Morris" | | 4 | "Reynolds" | | 5 | "Kowalski" | | 6 | "Eva" |
| | places | | 0 | "British" | | 1 | "Oxford" | | 2 | "Wapping" |
| | globalScore | 0.716 | | windowScore | 0.5 | |
| 95.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 2 | | matches | | 0 | "Museum who had apparently phoned in the disco" | | 1 | "as though trying to bore through the leather and plastic to reach it" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.965 | | wordCount | 2073 | | matches | | 0 | "not north but at a bricked-up archway twenty feet down the platform" | | 1 | "not coins at all, but tiny bone discs carved with runes" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 151 | | matches | | 0 | "happened; that much" | | 1 | "walked that way" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 41.46 | | std | 27.86 | | cv | 0.672 | | sampleLengths | | 0 | 104 | | 1 | 85 | | 2 | 55 | | 3 | 88 | | 4 | 6 | | 5 | 54 | | 6 | 63 | | 7 | 70 | | 8 | 6 | | 9 | 28 | | 10 | 97 | | 11 | 62 | | 12 | 44 | | 13 | 23 | | 14 | 19 | | 15 | 51 | | 16 | 41 | | 17 | 30 | | 18 | 90 | | 19 | 50 | | 20 | 86 | | 21 | 10 | | 22 | 3 | | 23 | 27 | | 24 | 22 | | 25 | 18 | | 26 | 30 | | 27 | 56 | | 28 | 63 | | 29 | 21 | | 30 | 91 | | 31 | 28 | | 32 | 7 | | 33 | 55 | | 34 | 81 | | 35 | 2 | | 36 | 36 | | 37 | 12 | | 38 | 39 | | 39 | 45 | | 40 | 53 | | 41 | 38 | | 42 | 46 | | 43 | 14 | | 44 | 23 | | 45 | 13 | | 46 | 25 | | 47 | 47 | | 48 | 13 | | 49 | 3 |
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| 91.97% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 132 | | matches | | 0 | "been opened" | | 1 | "were cauterized" | | 2 | "been etched" | | 3 | "been found" | | 4 | "been closed" |
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| 88.89% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 240 | | matches | | 0 | "was circling" | | 1 | "were sliding" | | 2 | "was already turning" | | 3 | "was bleeding" |
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| 86.09% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 151 | | ratio | 0.02 | | matches | | 0 | "The market had been in full swing when the killing happened; that much was clear from the scattered coins—some of them not coins at all, but tiny bone discs carved with runes." | | 1 | "The younger woman’s nervous habit had stopped; her hands now hung at her sides as though afraid to move." | | 2 | "Footprints led away from the body—two sets." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 771 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.027237354085603113 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009079118028534372 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 13.73 | | std | 11.67 | | cv | 0.85 | | sampleLengths | | 0 | 37 | | 1 | 21 | | 2 | 11 | | 3 | 9 | | 4 | 26 | | 5 | 6 | | 6 | 21 | | 7 | 15 | | 8 | 16 | | 9 | 5 | | 10 | 22 | | 11 | 14 | | 12 | 18 | | 13 | 23 | | 14 | 7 | | 15 | 18 | | 16 | 13 | | 17 | 19 | | 18 | 7 | | 19 | 6 | | 20 | 18 | | 21 | 6 | | 22 | 2 | | 23 | 52 | | 24 | 4 | | 25 | 21 | | 26 | 9 | | 27 | 6 | | 28 | 5 | | 29 | 13 | | 30 | 5 | | 31 | 13 | | 32 | 10 | | 33 | 18 | | 34 | 19 | | 35 | 4 | | 36 | 6 | | 37 | 6 | | 38 | 28 | | 39 | 25 | | 40 | 6 | | 41 | 32 | | 42 | 5 | | 43 | 6 | | 44 | 9 | | 45 | 14 | | 46 | 10 | | 47 | 15 | | 48 | 2 | | 49 | 34 |
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| 58.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3841059602649007 | | totalSentences | 151 | | uniqueOpeners | 58 | |
| 28.25% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 118 | | matches | | 0 | "Instead, pieces were sliding together" |
| | ratio | 0.008 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 118 | | matches | | 0 | "Her boots rang against the" | | 1 | "She had been in bed" | | 2 | "His face was pale beneath" | | 3 | "His throat had been opened" | | 4 | "It had pooled beneath him" | | 5 | "he gestured at the bizarre" | | 6 | "She had worked with Reynolds" | | 7 | "She turned the victim’s head" | | 8 | "It was surprise, almost recognition." | | 9 | "Her gaze drifted to an" | | 10 | "She picked it up." | | 11 | "She stood, scanning the platform" | | 12 | "She crouched and turned it" | | 13 | "She kept tucking a strand" | | 14 | "She kept her tone neutral," | | 15 | "She pointed at the compass" | | 16 | "She turned the compass bag" | | 17 | "She walked that way, boots" | | 18 | "She pressed two fingers to" | | 19 | "she said quietly" |
| | ratio | 0.263 | |
| 44.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 118 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "Her boots rang against the" | | 2 | "The worn leather watch on" | | 3 | "She had been in bed" | | 4 | "Tarps lay crumpled beside splintered" | | 5 | "Glass vials glinted under the" | | 6 | "A brass scale lay toppled," | | 7 | "This was no" | | 8 | "This was something else entirely," | | 9 | "DS Reynolds straightened from beside" | | 10 | "His face was pale beneath" | | 11 | "Quinn crouched beside the victim" | | 12 | "His throat had been opened" | | 13 | "It had pooled beneath him" | | 14 | "The edges of the wound" | | 15 | "he gestured at the bizarre" | | 16 | "Quinn’s sharp jaw tightened." | | 17 | "She had worked with Reynolds" | | 18 | "She turned the victim’s head" | | 19 | "The eyes were open, brown" |
| | ratio | 0.831 | |
| 42.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 118 | | matches | | 0 | "Now the platform stretched before" |
| | ratio | 0.008 | |
| 76.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 5 | | matches | | 0 | "Now the platform stretched before her like a half-forgotten dream, littered with the wreckage of stalls that had no business existing in a decommissioned Underg…" | | 1 | "Glass vials glinted under the crime-scene halogens, some still leaking fluids that shimmered violet and refused to soak into the concrete." | | 2 | "This was something else entirely, something that set her teeth on edge the way the Morris case had done three years earlier." | | 3 | "Male, late thirties, dressed in a long coat of indeterminate color that smelled of ozone and wet wool." | | 4 | "Her partner had been found in an abandoned warehouse in Wapping with similar anomalies: blood in a perfect circle, no witnesses, symbols on the walls that foren…" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said, voice pitched low, precise" | | 1 | "Quinn replied, voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0.091 | | effectiveRatio | 0.057 | |