| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1477 | | 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) | |
| 62.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1477 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "perfect" | | 1 | "quickened" | | 2 | "rhythmic" | | 3 | "footsteps" | | 4 | "standard" | | 5 | "velvet" | | 6 | "constructed" | | 7 | "echoing" | | 8 | "weight" | | 9 | "imposing" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "without second thought" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "without a second thought" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1471 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1353 | | uniqueNames | 20 | | maxNameDensity | 1.11 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 15 | | Morris | 3 | | Herrera | 11 | | Raven | 1 | | Nest | 1 | | Seville | 1 | | Cantonese | 1 | | London | 1 | | Underground | 1 | | Metropolitan | 1 | | Veil | 1 | | Market | 1 | | Camden | 1 | | Northern | 1 | | Line | 1 | | Victorian | 1 | | Saint | 2 | | Christopher | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Herrera" | | 4 | "Raven" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Seville" | | 2 | "London" | | 3 | "Veil" |
| | globalScore | 0.946 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | 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 | 1471 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 43.26 | | std | 22.61 | | cv | 0.523 | | sampleLengths | | 0 | 93 | | 1 | 70 | | 2 | 45 | | 3 | 66 | | 4 | 35 | | 5 | 84 | | 6 | 15 | | 7 | 69 | | 8 | 32 | | 9 | 20 | | 10 | 33 | | 11 | 35 | | 12 | 64 | | 13 | 40 | | 14 | 14 | | 15 | 50 | | 16 | 62 | | 17 | 22 | | 18 | 69 | | 19 | 15 | | 20 | 26 | | 21 | 16 | | 22 | 68 | | 23 | 41 | | 24 | 87 | | 25 | 22 | | 26 | 30 | | 27 | 16 | | 28 | 48 | | 29 | 48 | | 30 | 23 | | 31 | 54 | | 32 | 38 | | 33 | 21 |
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| 86.19% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 92 | | matches | | 0 | "was scratched" | | 1 | "been scraped" | | 2 | "been peeled" | | 3 | "been transformed" | | 4 | "been boarded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 216 | | matches | | 0 | "was laying" | | 1 | "was breathing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 100 | | ratio | 0.06 | | matches | | 0 | "She knew his face from the NHS disciplinary files—warm brown eyes, sharp Seville features, and a history of treating patients who didn’t exist on any municipal census." | | 1 | "The air rising from the stairwell was warm, thick, and carried a scent that didn't belong in a decommissioned tube station—clove, wet sulfur, and the metallic tang of old copper." | | 2 | "She didn't show her warrant card; in places like this, a badge was just an invitation to be gutted." | | 3 | "When he saw her—when he realized the woman in the wax jacket had actually crossed the threshold—his eyes widened in genuine panic." | | 4 | "Quinn caught a flash of the long, jagged white scar running from his wrist to his elbow—the mark of the knife attack that had ended his legitimate career." | | 5 | "He scrambled up a short flight of iron steps leading to a heavy, circular maintenance hatch—an old floodgate." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1367 | | adjectiveStacks | 2 | | stackExamples | | 0 | "damp, brick-lined utility" | | 1 | "long, jagged white scar" |
| | adverbCount | 31 | | adverbRatio | 0.02267739575713241 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.009509875640087784 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 14.71 | | std | 7.62 | | cv | 0.518 | | sampleLengths | | 0 | 39 | | 1 | 24 | | 2 | 5 | | 3 | 25 | | 4 | 22 | | 5 | 2 | | 6 | 19 | | 7 | 27 | | 8 | 11 | | 9 | 14 | | 10 | 4 | | 11 | 16 | | 12 | 28 | | 13 | 15 | | 14 | 23 | | 15 | 5 | | 16 | 30 | | 17 | 11 | | 18 | 13 | | 19 | 29 | | 20 | 7 | | 21 | 4 | | 22 | 20 | | 23 | 15 | | 24 | 14 | | 25 | 30 | | 26 | 18 | | 27 | 7 | | 28 | 18 | | 29 | 14 | | 30 | 2 | | 31 | 18 | | 32 | 4 | | 33 | 13 | | 34 | 13 | | 35 | 3 | | 36 | 4 | | 37 | 31 | | 38 | 15 | | 39 | 19 | | 40 | 19 | | 41 | 11 | | 42 | 20 | | 43 | 7 | | 44 | 13 | | 45 | 4 | | 46 | 10 | | 47 | 17 | | 48 | 33 | | 49 | 9 |
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| 55.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.38 | | totalSentences | 100 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 90 | | matches | | 0 | "Instead, the barrier had been" | | 1 | "Instead, she took a step" | | 2 | "Occasionally, he glanced over his" |
| | ratio | 0.033 | |
| 95.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 90 | | matches | | 0 | "She knew his face from" | | 1 | "She didn't run yet." | | 2 | "She rounded the corner just" | | 3 | "Her hand drifted to her" | | 4 | "She descended the stairs, her" | | 5 | "He didn't lock eyes with" | | 6 | "Her hand remained inside her" | | 7 | "He simply tapped a fingernail" | | 8 | "She didn't have one." | | 9 | "She didn't show her warrant" | | 10 | "He lowered his hand and" | | 11 | "She stepped through the threshold" | | 12 | "He was moving fast, his" | | 13 | "He kept one hand tucked" | | 14 | "He lunged through a crowd" | | 15 | "She shoved past a tall" | | 16 | "She vaulted a low crate" | | 17 | "She wouldn't let him slip" | | 18 | "she commanded, her voice echoing" | | 19 | "He didn't stop." |
| | ratio | 0.311 | |
| 54.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 90 | | matches | | 0 | "The rain in Soho did" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "Midnight had come and gone." | | 3 | "The face of the watch" | | 4 | "A hundred yards ahead, a" | | 5 | "Quinn had been trailing him" | | 6 | "She knew his face from" | | 7 | "Herrera turned sharply down an" | | 8 | "Quinn quickened her pace, her" | | 9 | "She didn't run yet." | | 10 | "She rounded the corner just" | | 11 | "A rusted iron gate hung" | | 12 | "Quinn paused at the threshold." | | 13 | "The air rising from the" | | 14 | "Her hand drifted to her" | | 15 | "Quinn knew better now." | | 16 | "She descended the stairs, her" | | 17 | "The concrete steps gave way" | | 18 | "The further down she went," | | 19 | "He didn't lock eyes with" |
| | ratio | 0.811 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 31.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 10 | | matches | | 0 | "The rain in Soho did not fall so much as it drifted, a heavy, greasy mist that smeared the neon glare of the sex shops and theater marquees into long streaks of…" | | 1 | "She knew his face from the NHS disciplinary files—warm brown eyes, sharp Seville features, and a history of treating patients who didn’t exist on any municipal …" | | 2 | "The air rising from the stairwell was warm, thick, and carried a scent that didn't belong in a decommissioned tube station—clove, wet sulfur, and the metallic t…" | | 3 | "The further down she went, the louder the hum became, shifting from the distant rumble of surface traffic to a low, rhythmic vibration that rattled the fillings…" | | 4 | "The abandoned station had been transformed into a subterranean bazaar that defied the geography of Camden above." | | 5 | "A woman in a velvet coat with fingers that seemed a joint too long haggled over a jar of pale, preservation fluid." | | 6 | "A man with a patch over his left eye was laying out dried roots that twitched when the damp breeze hit them." | | 7 | "Here, the lanterns were scarce, replaced by patches of bio-luminescent moss that clung to the dripping Victorian masonry." | | 8 | "Quinn caught a flash of the long, jagged white scar running from his wrist to his elbow—the mark of the knife attack that had ended his legitimate career." | | 9 | "He was breathing heavily, his chest heaving under his damp shirt." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "she commanded, her voice echoing off the curved ceiling" | | 1 | "he panted, his hand still clutching the pocket of his coat" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "a merchant hissed (hiss)" | | 1 | "Quinn shouted (shout)" | | 2 | "he panted (pant)" |
| | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.6 | | effectiveRatio | 0.429 | |