| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.558 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1622 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 50.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1622 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "stomach" | | 1 | "glint" | | 2 | "etched" | | 3 | "magnetic" | | 4 | "profound" | | 5 | "chill" | | 6 | "trembled" | | 7 | "silence" | | 8 | "wavering" | | 9 | "velvet" | | 10 | "complex" | | 11 | "fluttered" | | 12 | "raced" | | 13 | "pulsed" |
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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 | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1605 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 1 | | matches | | 0 | "Behind her, Patel shouted, but his voice distorted, stretching into frequencies that hurt her teeth." |
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| 56.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1229 | | uniqueNames | 12 | | maxNameDensity | 1.87 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 23 | | Tube | 2 | | Camden | 3 | | Sergeant | 1 | | Patel | 14 | | Morris | 4 | | Italian | 1 | | Evidence | 1 | | Ordnance | 1 | | Survey | 1 | | Victorians | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tube" | | 3 | "Sergeant" | | 4 | "Patel" | | 5 | "Morris" | | 6 | "Victorians" |
| | places | | | globalScore | 0.564 | | windowScore | 0.667 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 2 | | matches | | 0 | "as if awaiting a train that would never arrive" | | 1 | "as if passing through a curtain that had opened to receive it" |
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| 13.08% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.869 | | wordCount | 1605 | | matches | | 0 | "not falling, not skittering, but disappearing as if passing through a curtain" | | 1 | "not skittering, but disappearing as if passing through a curtain" | | 2 | "not toward a body, but toward the rift" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 129 | | matches | | 0 | "followed that gaze" | | 1 | "entered that warehouse" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 34.15 | | std | 17.98 | | cv | 0.527 | | sampleLengths | | 0 | 49 | | 1 | 30 | | 2 | 51 | | 3 | 71 | | 4 | 12 | | 5 | 41 | | 6 | 31 | | 7 | 36 | | 8 | 60 | | 9 | 48 | | 10 | 15 | | 11 | 49 | | 12 | 16 | | 13 | 36 | | 14 | 42 | | 15 | 49 | | 16 | 38 | | 17 | 17 | | 18 | 27 | | 19 | 61 | | 20 | 14 | | 21 | 5 | | 22 | 35 | | 23 | 20 | | 24 | 50 | | 25 | 8 | | 26 | 46 | | 27 | 17 | | 28 | 58 | | 29 | 36 | | 30 | 22 | | 31 | 7 | | 32 | 73 | | 33 | 21 | | 34 | 33 | | 35 | 55 | | 36 | 13 | | 37 | 49 | | 38 | 45 | | 39 | 27 | | 40 | 54 | | 41 | 47 | | 42 | 15 | | 43 | 36 | | 44 | 23 | | 45 | 11 | | 46 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 207 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 129 | | ratio | 0.07 | | matches | | 0 | "The abandoned Tube station beneath Camden breathed damp air up from the tunnels, carrying the iron scent of old blood and something else—ozone, perhaps, or the burnt-sugar sweetness of spent lightning." | | 1 | "But it was the positioning that arrested her attention—the corpse sat upright, legs crossed in the lotus position, hands folded neatly in his lap as if awaiting a train that would never arrive." | | 2 | "The object nestled between the rails—a small compass, its casing green with verdigris, face etched with protective sigils she did not recognize." | | 3 | "The shoes were wrong—handmade Italian leather, immaculate except for the soles." | | 4 | "A memory surfaced—Morris's last case file, the one she had confiscated from Evidence after the review board closed the inquiry." | | 5 | "She remembered his voice on their final call—excited, frightened, speaking of markets that moved with the lunar cycle and bone currency that granted passage." | | 6 | "The brass device slid across the rails and vanished into the darkness—not falling, not skittering, but disappearing as if passing through a curtain that had opened to receive it." | | 7 | "The compass had shown the way—not toward a body, but toward the rift where the victim had fallen attempting to flee something that hunted through walls of solid earth." | | 8 | "Inside the ivory, something pulsed with faint luminescence—a fragment of compass needle, embedded deep within the marrow cavity." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1245 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.016867469879518072 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004819277108433735 | |
| 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 | 12.44 | | std | 7.92 | | cv | 0.636 | | sampleLengths | | 0 | 18 | | 1 | 31 | | 2 | 30 | | 3 | 18 | | 4 | 18 | | 5 | 15 | | 6 | 17 | | 7 | 8 | | 8 | 33 | | 9 | 6 | | 10 | 7 | | 11 | 12 | | 12 | 2 | | 13 | 16 | | 14 | 23 | | 15 | 18 | | 16 | 13 | | 17 | 8 | | 18 | 28 | | 19 | 7 | | 20 | 21 | | 21 | 11 | | 22 | 2 | | 23 | 2 | | 24 | 17 | | 25 | 10 | | 26 | 22 | | 27 | 16 | | 28 | 15 | | 29 | 4 | | 30 | 8 | | 31 | 18 | | 32 | 19 | | 33 | 8 | | 34 | 8 | | 35 | 16 | | 36 | 15 | | 37 | 5 | | 38 | 11 | | 39 | 31 | | 40 | 20 | | 41 | 2 | | 42 | 6 | | 43 | 10 | | 44 | 11 | | 45 | 5 | | 46 | 11 | | 47 | 9 | | 48 | 8 | | 49 | 5 |
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| 64.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4263565891472868 | | totalSentences | 129 | | uniqueOpeners | 55 | |
| 66.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 101 | | matches | | 0 | "Instead, it hung absolute, deliberate," | | 1 | "Only the bone token remained," |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 101 | | matches | | 0 | "She followed that gaze, letting" | | 1 | "She crossed the platform in" | | 2 | "She crouched, studying the ground" | | 3 | "He would never have entered" | | 4 | "She studied the victim again." | | 5 | "He had not walked here." | | 6 | "He held up a small" | | 7 | "She overlaid the Tube lines," | | 8 | "She remembered his voice on" | | 9 | "She photographed both without touching," | | 10 | "She kicked it toward the" | | 11 | "She moved forward, one step," | | 12 | "They were claw marks, high" | | 13 | "He had been emptied from" |
| | ratio | 0.139 | |
| 73.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 101 | | matches | | 0 | "Detective Harlow Quinn ducked under" | | 1 | "The abandoned Tube station beneath" | | 2 | "A uniformed constable gestured toward" | | 3 | "Quinn moved with military precision," | | 4 | "The marks formed irregular lanes," | | 5 | "The body lay crumpled against" | | 6 | "The declaration came from behind" | | 7 | "Detective Sergeant Patel crouched beside" | | 8 | "Quinn swept her torch across" | | 9 | "Patel shrugged, his attention fixed" | | 10 | "Quinn stepped closer, her sharp" | | 11 | "The victim's eyes stared past" | | 12 | "She followed that gaze, letting" | | 13 | "She crossed the platform in" | | 14 | "The object nestled between the" | | 15 | "The needle spun with lazy" | | 16 | "Patel had followed, his breath" | | 17 | "Quinn did not answer." | | 18 | "She crouched, studying the ground" | | 19 | "Patel's radio crackled" |
| | ratio | 0.772 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 9 | | matches | | 0 | "Quinn moved with military precision, her boots crunching on debris that should not exist in a sealed facility." | | 1 | "But it was the positioning that arrested her attention—the corpse sat upright, legs crossed in the lotus position, hands folded neatly in his lap as if awaiting…" | | 2 | "Scorch marks circularized the metal, as if the object had generated heat intense enough to bleach the limestone." | | 3 | "The bone was warm, carved with spirals that matched the compass sigils in geometric precision." | | 4 | "The darkness possessed texture, a velvet solidity that defied physics." | | 5 | "She remembered his voice on their final call—excited, frightened, speaking of markets that moved with the lunar cycle and bone currency that granted passage." | | 6 | "The brass device slid across the rails and vanished into the darkness—not falling, not skittering, but disappearing as if passing through a curtain that had ope…" | | 7 | "Behind her, Patel shouted, but his voice distorted, stretching into frequencies that hurt her teeth." | | 8 | "The compass had shown the way—not toward a body, but toward the rift where the victim had fallen attempting to flee something that hunted through walls of solid…" |
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| 20.83% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 5 | | matches | | 0 | "Patel had, his breath hitching in the stale air" | | 1 | "Patel laughed, the sound brittle against the tiles" | | 2 | "Patel offered, his skepticism wavering" | | 3 | "Patel pressed, his professional curiosity overriding his dismissal" | | 4 | "Patel backed away, his hand reaching for his radio" |
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| 56.98% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 4 | | fancyTags | | 0 | "Patel laughed (laugh)" | | 1 | "Quinn continued (continue)" | | 2 | "Patel pressed (press)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 43 | | tagDensity | 0.14 | | leniency | 0.279 | | rawRatio | 0.667 | | effectiveRatio | 0.186 | |