| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1124 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lazily" | | 1 | "carefully" | | 2 | "slowly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 46.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1124 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "methodical" | | 1 | "weight" | | 2 | "perfect" | | 3 | "familiar" | | 4 | "etched" | | 5 | "magnetic" | | 6 | "database" | | 7 | "gloom" | | 8 | "intensity" |
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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 | 70 | | matches | (empty) | |
| 81.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1115 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 841 | | uniqueNames | 12 | | maxNameDensity | 1.78 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 15 | | Thames | 1 | | Patel | 9 | | Underground | 2 | | Morris | 2 | | British | 1 | | Museum | 1 | | Kowalski | 2 | | Aurora | 1 | | Sinclair | 1 | | Eva | 2 | | London | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Patel" | | 2 | "Morris" | | 3 | "Museum" | | 4 | "Kowalski" | | 5 | "Aurora" | | 6 | "Sinclair" | | 7 | "Eva" |
| | places | | | globalScore | 0.608 | | windowScore | 0.833 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "etchings that seemed to shift in her peripheral vision" | | 1 | "quite catch" |
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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 | 1115 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 33.79 | | std | 20.89 | | cv | 0.618 | | sampleLengths | | 0 | 51 | | 1 | 35 | | 2 | 61 | | 3 | 3 | | 4 | 41 | | 5 | 58 | | 6 | 47 | | 7 | 1 | | 8 | 33 | | 9 | 35 | | 10 | 66 | | 11 | 5 | | 12 | 3 | | 13 | 25 | | 14 | 12 | | 15 | 69 | | 16 | 7 | | 17 | 35 | | 18 | 48 | | 19 | 7 | | 20 | 44 | | 21 | 47 | | 22 | 40 | | 23 | 30 | | 24 | 4 | | 25 | 64 | | 26 | 6 | | 27 | 46 | | 28 | 41 | | 29 | 61 | | 30 | 46 | | 31 | 24 | | 32 | 20 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "was etched" | | 1 | "been trained" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 141 | | matches | | 0 | "was trying" | | 1 | "were using" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 87 | | ratio | 0.08 | | matches | | 0 | "The stench hit Quinn before she ducked under the police tape—Thames water, rust, and something acrid that made her sinuses burn." | | 1 | "She'd seen electrical burns before—they didn't look like this." | | 2 | "The casing showed heavy wear, verdigris eating at the edges, but the face was etched with markings she didn't recognize—geometric patterns, symbols that hurt to look at too long." | | 3 | "She thought of the files locked in her desk drawer at the station—the Morris case, the unexplained deaths over the past three years that shared certain characteristics." | | 4 | "The scorching was consistent all the way around—no variation in depth or intensity." | | 5 | "Near the northwest edge of the pattern, she found them—partial boot prints in the dust, and smaller shoe prints." | | 6 | "This compass, this body, this pattern—they were pieces of the same puzzle." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 849 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02944640753828033 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009422850412249705 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 12.82 | | std | 7.63 | | cv | 0.595 | | sampleLengths | | 0 | 21 | | 1 | 30 | | 2 | 14 | | 3 | 21 | | 4 | 20 | | 5 | 15 | | 6 | 14 | | 7 | 12 | | 8 | 3 | | 9 | 18 | | 10 | 18 | | 11 | 5 | | 12 | 12 | | 13 | 20 | | 14 | 9 | | 15 | 7 | | 16 | 10 | | 17 | 14 | | 18 | 12 | | 19 | 21 | | 20 | 1 | | 21 | 14 | | 22 | 19 | | 23 | 7 | | 24 | 12 | | 25 | 16 | | 26 | 12 | | 27 | 11 | | 28 | 29 | | 29 | 14 | | 30 | 5 | | 31 | 3 | | 32 | 19 | | 33 | 6 | | 34 | 12 | | 35 | 5 | | 36 | 3 | | 37 | 3 | | 38 | 15 | | 39 | 27 | | 40 | 4 | | 41 | 4 | | 42 | 8 | | 43 | 7 | | 44 | 4 | | 45 | 21 | | 46 | 10 | | 47 | 5 | | 48 | 3 | | 49 | 16 |
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| 69.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.45977011494252873 | | totalSentences | 87 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 68 | | matches | | 0 | "Just smooth brass and those" | | 1 | "Always present, never quite close" | | 2 | "Always with an explanation that" |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 68 | | matches | | 0 | "He gestured at the platform" | | 1 | "She'd seen electrical burns before—they" | | 2 | "She touched the worn leather" | | 3 | "She photographed it in place," | | 4 | "She held it up, watching" | | 5 | "She thought of the files" | | 6 | "She'd been building a file" | | 7 | "She walked the perimeter of" | | 8 | "She thought of Eva Kowalski's" | | 9 | "She'd spent three years piecing" | | 10 | "She met his eyes" |
| | ratio | 0.162 | |
| 70.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 68 | | matches | | 0 | "The stench hit Quinn before" | | 1 | "The abandoned station platform stretched" | | 2 | "DS Patel looked up from" | | 3 | "Quinn nodded, her gaze already" | | 4 | "The body lay sprawled near" | | 5 | "Male, dressed in expensive wool" | | 6 | "Patel shifted his weight, and" | | 7 | "He gestured at the platform" | | 8 | "Quinn crouched beside the body," | | 9 | "The concrete around the victim" | | 10 | "She'd seen electrical burns before—they" | | 11 | "The pattern was too precise," | | 12 | "The edges were sharp as" | | 13 | "She touched the worn leather" | | 14 | "Patel flipped through his notes" | | 15 | "Quinn stood, following the direction" | | 16 | "The tunnel entrance yawned beyond" | | 17 | "Something glinted near the track" | | 18 | "A small brass compass lay" | | 19 | "She photographed it in place," |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 9 | | matches | | 0 | "The abandoned station platform stretched into darkness beyond the crime scene floods, its tiled walls streaked with a century of grime and something that gliste…" | | 1 | "Quinn nodded, her gaze already sweeping the scene with the methodical precision that had become second nature over eighteen years." | | 2 | "Male, dressed in expensive wool coat and leather shoes that didn't match the location." | | 3 | "The casing showed heavy wear, verdigris eating at the edges, but the face was etched with markings she didn't recognize—geometric patterns, symbols that hurt to…" | | 4 | "Just smooth brass and those unsettling etchings that seemed to shift in her peripheral vision." | | 5 | "Friend of Aurora Sinclair, who kept appearing at the periphery of her investigations like a shadow Quinn couldn't quite catch." | | 6 | "Quinn straightened, her sharp features set in the expression that had earned her a reputation for being relentless." | | 7 | "Multiple individuals, moving with purpose through a sealed Underground station that shouldn't be accessible." | | 8 | "Carrying bone tokens and strange compasses that pointed at things that shouldn't exist." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Patel's tone suggested (suggest)" |
| | dialogueSentences | 25 | | tagDensity | 0.08 | | leniency | 0.16 | | rawRatio | 0.5 | | effectiveRatio | 0.08 | |