| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "she read aloud [aloud]" |
| | dialogueSentences | 44 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.05 | | effectiveRatio | 0.045 | |
| 82.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1746 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "very" | | 1 | "lazily" | | 2 | "suddenly" | | 3 | "gently" | | 4 | "completely" |
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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) | |
| 51.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1746 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "chilled" | | 1 | "rhythmic" | | 2 | "gloom" | | 3 | "weight" | | 4 | "velvet" | | 5 | "efficient" | | 6 | "silence" | | 7 | "etched" | | 8 | "scanning" | | 9 | "wavering" | | 10 | "could feel" | | 11 | "traced" | | 12 | "echoed" | | 13 | "flicker" |
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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 | 96 | | matches | (empty) | |
| 38.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 71 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1743 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1137 | | uniqueNames | 12 | | maxNameDensity | 1.93 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 22 | | Quinn | 2 | | London | 2 | | Tube | 3 | | Bovril | 1 | | Miller | 9 | | Camden | 2 | | Mornington | 1 | | Crescent | 1 | | Eva | 2 | | Kowalski | 1 | | Victorian | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Eva" | | 4 | "Kowalski" |
| | places | | 0 | "London" | | 1 | "Mornington" | | 2 | "Crescent" |
| | globalScore | 0.533 | | windowScore | 0.5 | |
| 48.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like breaking glass in the silence" | | 1 | "circles that seemed to shift when the flashlight hit them at an angle" | | 2 | "looked like weeping eyes" |
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| 27.88% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.721 | | wordCount | 1743 | | matches | | 0 | "Not just \"derelict station\" wrong, but heavy, as if the shadows possessed a physical weight" | | 1 | "not toward the tunnel exit, but directly at a bricked-up archway beneath the stairs" | | 2 | "not the sound of a train, but the sound of heavy stone sliding against stone" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 120 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 38.73 | | std | 24.33 | | cv | 0.628 | | sampleLengths | | 0 | 85 | | 1 | 61 | | 2 | 13 | | 3 | 75 | | 4 | 40 | | 5 | 52 | | 6 | 42 | | 7 | 8 | | 8 | 12 | | 9 | 34 | | 10 | 15 | | 11 | 83 | | 12 | 32 | | 13 | 77 | | 14 | 12 | | 15 | 34 | | 16 | 26 | | 17 | 47 | | 18 | 75 | | 19 | 11 | | 20 | 53 | | 21 | 20 | | 22 | 60 | | 23 | 29 | | 24 | 43 | | 25 | 4 | | 26 | 34 | | 27 | 65 | | 28 | 20 | | 29 | 46 | | 30 | 6 | | 31 | 18 | | 32 | 20 | | 33 | 41 | | 34 | 49 | | 35 | 24 | | 36 | 2 | | 37 | 13 | | 38 | 80 | | 39 | 20 | | 40 | 89 | | 41 | 46 | | 42 | 20 | | 43 | 57 | | 44 | 50 |
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| 94.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 96 | | matches | | 0 | "been disturbed" | | 1 | "was etched" | | 2 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 175 | | matches | | 0 | "was vibrating" | | 1 | "was already retreating" |
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| 47.62% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 120 | | ratio | 0.033 | | matches | | 0 | "Below, the air turned thick with the smell of wet soot, rusted metal, and something sharper—the metallic tang of ozone." | | 1 | "A low, grinding sound echoed from behind the bricks—not the sound of a train, but the sound of heavy stone sliding against stone." | | 2 | "The wall didn't crumble; it folded." | | 3 | "A shadow moved on the other side of the veil—a tall, spindly thing with too many joints, mirroring the marks on the dead boy's neck." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 755 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.02119205298013245 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007947019867549669 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 14.53 | | std | 10.35 | | cv | 0.712 | | sampleLengths | | 0 | 24 | | 1 | 13 | | 2 | 20 | | 3 | 28 | | 4 | 13 | | 5 | 25 | | 6 | 12 | | 7 | 11 | | 8 | 13 | | 9 | 10 | | 10 | 1 | | 11 | 16 | | 12 | 24 | | 13 | 5 | | 14 | 4 | | 15 | 15 | | 16 | 8 | | 17 | 22 | | 18 | 10 | | 19 | 12 | | 20 | 40 | | 21 | 8 | | 22 | 7 | | 23 | 8 | | 24 | 19 | | 25 | 8 | | 26 | 6 | | 27 | 6 | | 28 | 6 | | 29 | 28 | | 30 | 15 | | 31 | 13 | | 32 | 70 | | 33 | 7 | | 34 | 25 | | 35 | 9 | | 36 | 12 | | 37 | 13 | | 38 | 8 | | 39 | 13 | | 40 | 22 | | 41 | 9 | | 42 | 3 | | 43 | 6 | | 44 | 28 | | 45 | 26 | | 46 | 3 | | 47 | 27 | | 48 | 8 | | 49 | 9 |
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| 58.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.4166666666666667 | | totalSentences | 120 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 72.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 95 | | matches | | 0 | "She hit the floor of" | | 1 | "It cast long, distorted shadows" | | 2 | "He looked small against the" | | 3 | "She adjusted her grip on" | | 4 | "Her salt-and-pepper hair, cropped close" | | 5 | "She kept her jaw tight." | | 6 | "He was young, perhaps early" | | 7 | "His eyes gazed at the" | | 8 | "She didn't look at the" | | 9 | "She swept her flashlight over" | | 10 | "she gestured to a barred" | | 11 | "She reached into the victim’s" | | 12 | "She pulled it out with" | | 13 | "It was a disc of" | | 14 | "Its surface was etched with" | | 15 | "She walked a few paces" | | 16 | "She reached down and retrieved" | | 17 | "Its casing carried a heavy" | | 18 | "It felt unnaturally heavy." | | 19 | "It suddenly jerked, pointing not" |
| | ratio | 0.368 | |
| 7.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 95 | | matches | | 0 | "The iron rungs of the" | | 1 | "She hit the floor of" | | 2 | "It cast long, distorted shadows" | | 3 | "Sergeant Miller stood by the" | | 4 | "He looked small against the" | | 5 | "Miller’s voice bounced off the" | | 6 | "Harlow checked the worn leather" | | 7 | "She adjusted her grip on" | | 8 | "Her salt-and-pepper hair, cropped close" | | 9 | "She kept her jaw tight." | | 10 | "This place felt wrong." | | 11 | "The victim lay sprawled across" | | 12 | "He was young, perhaps early" | | 13 | "His eyes gazed at the" | | 14 | "Miller said, clicking his pen" | | 15 | "Harlow knelt at the edge" | | 16 | "She didn't look at the" | | 17 | "She swept her flashlight over" | | 18 | "The dust here was a" | | 19 | "The sergeant squinted, shifting his" |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 34.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 7 | | matches | | 0 | "The iron rungs of the maintenance ladder bit into Harlow Quinn’s palms, chilled by the subterranean draft that sucked the heat from the tunnel." | | 1 | "She hit the floor of the abandoned Tube station with a heavy thud, her boots kicking up a cloud of grey silt that hadn't been disturbed in decades." | | 2 | "He was young, perhaps early twenties, dressed in an expensive cashmere overcoat that looked absurd against the filth of the Camden underbelly." | | 3 | "The red-haired girl with the satchel of old books who had been hovering on the fringes of three different investigations in the last six months." | | 4 | "She saw a flicker of torchlight and the silhouette of stalls draped in silks that shouldn't exist beneath the streets of Camden." | | 5 | "Miller was already retreating, his boots scrambling on the platform as he looked at the warping wall with wide, terrified eyes." | | 6 | "She stepped toward the shimmering wall, the military precision of her stride never faltering even as the bricks began to vanish into the thin, grey light of a p…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "Harlow stood, her movements sharp and efficient" | | 1 | "Harlow said, her voice freezing Miller’s sarcasm" | | 2 | "Harlow ordered, her voice a whip-crack in the gloom" | | 3 | "she whispered, more to herself than the thing in the dark" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Miller noted (note)" | | 1 | "the needle snapping (snap)" | | 2 | "Harlow ordered (order)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 44 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.5 | | effectiveRatio | 0.182 | |