| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 33 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.083 | | effectiveRatio | 0.061 | |
| 81.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1654 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "gently" | | 1 | "deliberately" | | 2 | "suddenly" | | 3 | "sharply" |
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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) | |
| 45.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1654 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "standard" | | 1 | "flicked" | | 2 | "tracing" | | 3 | "pulsed" | | 4 | "pristine" | | 5 | "pulse" | | 6 | "porcelain" | | 7 | "stomach" | | 8 | "echoes" | | 9 | "echoing" | | 10 | "rhythmic" | | 11 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 142 | | matches | (empty) | |
| 82.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 2 | | narrationSentences | 142 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1645 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.55% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 66 | | wordCount | 1380 | | uniqueNames | 7 | | maxNameDensity | 2.03 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 28 | | Tube | 3 | | Veil | 6 | | Compass | 5 | | Eva | 11 | | Evans | 12 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Compass" | | 2 | "Eva" | | 3 | "Evans" | | 4 | "Market" |
| | places | | | globalScore | 0.486 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 78.42% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.216 | | wordCount | 1645 | | matches | | 0 | "not like death either, but like symbols drawn in haste by unsteady hands" | | 1 | "not the jagged edges of a knife wound, but incisions so precise they might have been made with a surgeo" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 163 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 31.63 | | std | 27.25 | | cv | 0.861 | | sampleLengths | | 0 | 88 | | 1 | 41 | | 2 | 92 | | 3 | 3 | | 4 | 54 | | 5 | 33 | | 6 | 6 | | 7 | 44 | | 8 | 58 | | 9 | 19 | | 10 | 29 | | 11 | 33 | | 12 | 60 | | 13 | 31 | | 14 | 30 | | 15 | 74 | | 16 | 43 | | 17 | 4 | | 18 | 26 | | 19 | 6 | | 20 | 1 | | 21 | 19 | | 22 | 11 | | 23 | 9 | | 24 | 18 | | 25 | 23 | | 26 | 6 | | 27 | 3 | | 28 | 34 | | 29 | 39 | | 30 | 28 | | 31 | 10 | | 32 | 139 | | 33 | 34 | | 34 | 73 | | 35 | 31 | | 36 | 68 | | 37 | 31 | | 38 | 15 | | 39 | 13 | | 40 | 59 | | 41 | 7 | | 42 | 29 | | 43 | 10 | | 44 | 47 | | 45 | 48 | | 46 | 8 | | 47 | 7 | | 48 | 20 | | 49 | 14 |
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| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 142 | | matches | | 0 | "were arranged" | | 1 | "been placed" | | 2 | "been sliced" | | 3 | "been made" | | 4 | "been poured" |
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| 89.81% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 242 | | matches | | 0 | "wasn’t pointing" | | 1 | "was pointing" | | 2 | "was trying" | | 3 | "was writing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 163 | | ratio | 0.067 | | matches | | 0 | "The abandoned Tube station stretched around her like a ribcage, the air thick with the metallic tang of old blood and something older—something that made her watch’s brass casing prickle against her wrist." | | 1 | "The fingers on the victim’s left hand were arranged in a pattern—digits bent at unnatural angles, spelling something in the body’s final moments." | | 2 | "\"—see the angles? Whoever did this, they’re not working from human templates. This sigil’s mirrored. Backwards.\"" | | 3 | "A bone token dangled from a chain at the victim’s throat—probably taken from the corpse post-mortem, Evans would swear to it." | | 4 | "They were something else—like candles guttering in an unnatural breeze." | | 5 | "Something glittered in the victim’s left eye—a speck of gold caught in the cloudiness." | | 6 | "A sound cut through the station’s usual echoes—a wet, clicking noise from the darkness." | | 7 | "Evans heard it too; his head snapped toward the tunnel." | | 8 | "Ending the chapter right as shit hits the fan - she's about to investigate the clicking sound from the tunnel that shouldn't exist in reality." | | 9 | "The abandoned Tube station stretched around her like a ribcage, the air thick with old blood and something older—copper and something sweet like rotten apples." | | 10 | "The victim wore a black hoodie, sleeves pushed to the elbows, skin exposed in strips where the fabric had been sliced clean away—not the jagged edges of a knife wound, but incisions so precise they might have been made with a surgeon’s blade, except no blade would cut like that." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 577 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03986135181975736 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010398613518197574 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 10.09 | | std | 7.75 | | cv | 0.768 | | sampleLengths | | 0 | 15 | | 1 | 33 | | 2 | 13 | | 3 | 23 | | 4 | 2 | | 5 | 2 | | 6 | 23 | | 7 | 9 | | 8 | 9 | | 9 | 13 | | 10 | 23 | | 11 | 6 | | 12 | 4 | | 13 | 23 | | 14 | 23 | | 15 | 3 | | 16 | 9 | | 17 | 15 | | 18 | 30 | | 19 | 4 | | 20 | 10 | | 21 | 10 | | 22 | 4 | | 23 | 5 | | 24 | 2 | | 25 | 4 | | 26 | 8 | | 27 | 16 | | 28 | 6 | | 29 | 6 | | 30 | 8 | | 31 | 18 | | 32 | 13 | | 33 | 19 | | 34 | 8 | | 35 | 12 | | 36 | 7 | | 37 | 6 | | 38 | 23 | | 39 | 7 | | 40 | 19 | | 41 | 3 | | 42 | 4 | | 43 | 9 | | 44 | 35 | | 45 | 16 | | 46 | 7 | | 47 | 24 | | 48 | 10 | | 49 | 15 |
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| 43.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3067484662576687 | | totalSentences | 163 | | uniqueOpeners | 50 | |
| 80.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 124 | | matches | | 0 | "Somewhere in that dark, beyond" | | 1 | "Almost as though it had" | | 2 | "Then something breathed against the" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 124 | | matches | | 0 | "she said without looking up" | | 1 | "She picked up the victim’s" | | 2 | "She didn’t pull it out" | | 3 | "Her green eyes locked onto" | | 4 | "She reached out with a" | | 5 | "She ignored it." | | 6 | "They were something else—like candles" | | 7 | "She stopped at the victim’s" | | 8 | "She flipped open her notebook" | | 9 | "It wasn’t pointing at the" | | 10 | "It was pointing *through* the" | | 11 | "She moved, boots echoing as" | | 12 | "She was at Quinn’s shoulder" | | 13 | "It clung to the tiles" | | 14 | "She hadn’t bothered to look" | | 15 | "She reached for the victim’s" | | 16 | "She reached into her coat" | | 17 | "She didn’t pull it out." | | 18 | "Her green eyes locked onto" | | 19 | "They had a film over" |
| | ratio | 0.194 | |
| 56.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 124 | | matches | | 0 | "The bone token burned cold" | | 1 | "The abandoned Tube station stretched" | | 2 | "This close to a supernatural" | | 3 | "The station’s tile walls hadn’t" | | 4 | "Eva stood by the body," | | 5 | "she said without looking up" | | 6 | "Quinn crouched beside the corpse," | | 7 | "The victim wore a black" | | 8 | "The wounds were too precise," | | 9 | "The fingers on the victim’s" | | 10 | "Evans said, stepping into Quinn’s" | | 11 | "The DS had his notebook" | | 12 | "Quinn didn’t look up." | | 13 | "She picked up the victim’s" | | 14 | "The fingernails were dark, almost" | | 15 | "Quinn ignored him, reaching into" | | 16 | "The Veil Compass hung heavy" | | 17 | "She didn’t pull it out" | | 18 | "Eva finally looked up from" | | 19 | "Her green eyes locked onto" |
| | ratio | 0.806 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 124 | | matches | | 0 | "As though the body was" | | 1 | "Before she could answer, Eva" |
| | ratio | 0.016 | |
| 51.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 7 | | matches | | 0 | "The abandoned Tube station stretched around her like a ribcage, the air thick with the metallic tang of old blood and something older—something that made her wa…" | | 1 | "The station’s tile walls hadn’t seen sunlight in decades, yet the blood on them gleamed wet, too fresh, as though painted moments ago." | | 2 | "The wounds were too precise, too deep, as though someone had peeled the flesh back with surgical precision before removing whatever was underneath." | | 3 | "The victim’s mouth was open in a silent scream, tongue protruding, eyes clouded with a film that wasn’t cataracts." | | 4 | "Ending the chapter right as shit hits the fan - she's about to investigate the clicking sound from the tunnel that shouldn't exist in reality." | | 5 | "The station’s tile walls hadn’t seen sunlight in decades, yet the blood on them gleamed wet, too fresh, as though painted moments ago." | | 6 | "The flesh beneath the exposed strips pulsed with an unnatural sheen, as though lit from within." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 89.39% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "Evans muttered (mutter)" | | 1 | "Eva snapped (snap)" |
| | dialogueSentences | 33 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.333 | | effectiveRatio | 0.121 | |