| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.463 | | leniency | 0.927 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1472 | | totalAiIsmAdverbs | 1 | | 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) | |
| 42.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1472 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "echoed" | | 2 | "velvet" | | 3 | "echoing" | | 4 | "perfect" | | 5 | "charged" | | 6 | "etched" | | 7 | "gloom" | | 8 | "whisper" | | 9 | "traced" | | 10 | "intricate" | | 11 | "pulse" | | 12 | "shattered" | | 13 | "flickered" | | 14 | "silk" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1462 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1144 | | uniqueNames | 18 | | maxNameDensity | 1.66 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 19 | | Miller | 5 | | Maglite | 2 | | London | 1 | | Victorian | 1 | | TfL | 1 | | Veil | 1 | | Market | 1 | | Archer | 9 | | Patek | 1 | | Philippe | 1 | | Morris | 1 | | Soho | 1 | | North | 1 | | British | 1 | | Museum | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Maglite" | | 4 | "Archer" | | 5 | "Patek" | | 6 | "Philippe" | | 7 | "Morris" |
| | places | | | globalScore | 0.67 | | windowScore | 0.5 | |
| 61.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like a box of old pennies left in" | | 1 | "quite hear" | | 2 | "sounded like dozens of fingernails tapping" |
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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 | 1462 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 27.58 | | std | 15.71 | | cv | 0.569 | | sampleLengths | | 0 | 48 | | 1 | 21 | | 2 | 9 | | 3 | 72 | | 4 | 36 | | 5 | 14 | | 6 | 45 | | 7 | 35 | | 8 | 6 | | 9 | 37 | | 10 | 13 | | 11 | 39 | | 12 | 35 | | 13 | 37 | | 14 | 25 | | 15 | 11 | | 16 | 50 | | 17 | 42 | | 18 | 20 | | 19 | 40 | | 20 | 28 | | 21 | 25 | | 22 | 13 | | 23 | 12 | | 24 | 61 | | 25 | 47 | | 26 | 23 | | 27 | 6 | | 28 | 36 | | 29 | 34 | | 30 | 7 | | 31 | 14 | | 32 | 50 | | 33 | 17 | | 34 | 20 | | 35 | 9 | | 36 | 46 | | 37 | 18 | | 38 | 20 | | 39 | 21 | | 40 | 12 | | 41 | 43 | | 42 | 20 | | 43 | 41 | | 44 | 4 | | 45 | 40 | | 46 | 29 | | 47 | 12 | | 48 | 18 | | 49 | 50 |
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| 88.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 107 | | matches | | 0 | "been paved" | | 1 | "been opened" | | 2 | "been harvested" | | 3 | "been removed" | | 4 | "was etched" |
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| 67.99% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 202 | | matches | | 0 | "was tugging" | | 1 | "was glowing" | | 2 | "wasn't pointing" | | 3 | "was pointing" |
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| 32.12% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 129 | | ratio | 0.039 | | matches | | 0 | "Detective Harlow Quinn didn't wait for the uniformed officer to lift the strand; she ducked under it with a fluid, practiced motion that didn't disturb the crease of her trousers." | | 1 | "A pale, circular mark greeted her—a puckered scar where skin had been harvested." | | 2 | "Something was tugging at the back of her mind—a frequency she couldn't quite hear." | | 3 | "It wasn't just a sound anymore; it was a vibration in the marrow of her bones." | | 4 | "She saw them then—shadows that possessed more substance than the air around them, moving with a jerky, multi-limbed grace." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1153 | | adjectiveStacks | 3 | | stackExamples | | 0 | "thick, vellum-bound journals" | | 1 | "faint, bruised purple light" | | 2 | "grey, moth-eaten silk." |
| | adverbCount | 28 | | adverbRatio | 0.024284475281873375 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009540329575021683 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 11.33 | | std | 5.97 | | cv | 0.527 | | sampleLengths | | 0 | 18 | | 1 | 30 | | 2 | 12 | | 3 | 9 | | 4 | 9 | | 5 | 10 | | 6 | 18 | | 7 | 6 | | 8 | 21 | | 9 | 2 | | 10 | 2 | | 11 | 13 | | 12 | 23 | | 13 | 13 | | 14 | 5 | | 15 | 9 | | 16 | 17 | | 17 | 15 | | 18 | 13 | | 19 | 14 | | 20 | 21 | | 21 | 6 | | 22 | 18 | | 23 | 19 | | 24 | 13 | | 25 | 18 | | 26 | 13 | | 27 | 8 | | 28 | 8 | | 29 | 27 | | 30 | 2 | | 31 | 7 | | 32 | 6 | | 33 | 9 | | 34 | 13 | | 35 | 6 | | 36 | 11 | | 37 | 8 | | 38 | 11 | | 39 | 19 | | 40 | 15 | | 41 | 16 | | 42 | 6 | | 43 | 6 | | 44 | 9 | | 45 | 4 | | 46 | 17 | | 47 | 5 | | 48 | 15 | | 49 | 15 |
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| 59.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.40310077519379844 | | totalSentences | 129 | | uniqueOpeners | 52 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 76.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 100 | | matches | | 0 | "Her boots rang out in" | | 1 | "It lost the scent of" | | 2 | "It smelled like a box" | | 3 | "They descended past Victorian tilework," | | 4 | "His breath misted in the" | | 5 | "He looked up, his face" | | 6 | "It was a man, mid-forties," | | 7 | "He lay sprawled across a" | | 8 | "His throat had been opened" | | 9 | "She didn't look at the" | | 10 | "She looked at the man's" | | 11 | "She reached out and turned" | | 12 | "She stood and began a" | | 13 | "She moved to the nearest" | | 14 | "It was a rickety wooden" | | 15 | "She didn't touch it." | | 16 | "She pointed to the victim’s" | | 17 | "It was the same humming" | | 18 | "She reached into her pocket" | | 19 | "It spun in a frantic," |
| | ratio | 0.36 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 100 | | matches | | 0 | "The yellow tape danced in" | | 1 | "Detective Harlow Quinn didn't wait" | | 2 | "Constable Miller said, clicking a" | | 3 | "Quinn stepped onto the metal" | | 4 | "Her boots rang out in" | | 5 | "The air changed ten steps" | | 6 | "It lost the scent of" | | 7 | "It smelled like a box" | | 8 | "They descended past Victorian tilework," | | 9 | "This was the ghost platform," | | 10 | "Miller called out" | | 11 | "His breath misted in the" | | 12 | "The platform opened into a" | | 13 | "Stalls stood like skeletal remains" | | 14 | "This was the Veil Market," | | 15 | "DS Archer stood over a" | | 16 | "He looked up, his face" | | 17 | "Quinn bypassed him, her eyes" | | 18 | "Archer pointed a gloved finger" | | 19 | "It was a man, mid-forties," |
| | ratio | 0.92 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 55.39% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn didn't wait for the uniformed officer to lift the strand; she ducked under it with a fluid, practiced motion that didn't disturb the crea…" | | 1 | "Her boots rang out in rhythmic, metallic clangs that echoed deep into the throat of the abandoned station." | | 2 | "They descended past Victorian tilework, cracked and weeping brown moisture, until they reached the level that didn't appear on any modern TfL map." | | 3 | "It was a man, mid-forties, dressed in a bespoke wool suit that cost more than Miller’s annual salary." | | 4 | "The casing had a thick patina of verdigris, and the face was etched with sigils that made her eyes ache if she stared too long." | | 5 | "It traced the grooves between the cobblestones, forming a wide, intricate geometric pattern that spanned the entire market floor." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 7 | | matches | | 0 | "Quinn bypassed, her eyes sweeping the floor" | | 1 | "Archer said, his voice echoing too loudly" | | 2 | "Quinn said, her voice dropping to a jagged whisper" | | 3 | "Miller backed away, his Maglite shaking" | | 4 | "Quinn ordered, her hand moving instinctively to the grip of her sidearm" | | 5 | "Quinn whispered, her heart hammering against her ribs like a trapped bird" | | 6 | "Quinn said, her voice deathly calm" |
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| 3.66% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 6 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "Miller added (add)" | | 2 | "Archer laughed (laugh)" | | 3 | "Quinn ordered (order)" | | 4 | "Archer snapped (snap)" | | 5 | "Quinn whispered (whisper)" |
| | dialogueSentences | 41 | | tagDensity | 0.293 | | leniency | 0.585 | | rawRatio | 0.5 | | effectiveRatio | 0.293 | |