| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1181 | | 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) | |
| 44.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1181 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "chill" | | 2 | "gloom" | | 3 | "weight" | | 4 | "profound" | | 5 | "silence" | | 6 | "velvet" | | 7 | "pulsed" | | 8 | "vibrated" | | 9 | "silk" | | 10 | "tangible" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 90.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1175 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1171 | | uniqueNames | 10 | | maxNameDensity | 1.11 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | Harlow | 1 | | Quinn | 13 | | Herrera | 9 | | Morris | 5 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Market" |
| | places | | | globalScore | 0.945 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "quite name, hues that felt bruised and unnatural—danced along the edges of her vision" | | 1 | "sounded like dry leaves skittering over pa" | | 2 | "seemed solid where the light of the strange, bruised lanterns couldn't reach" |
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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 | 1175 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 86.84% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 41.96 | | std | 19.05 | | cv | 0.454 | | sampleLengths | | 0 | 68 | | 1 | 64 | | 2 | 80 | | 3 | 47 | | 4 | 17 | | 5 | 49 | | 6 | 48 | | 7 | 21 | | 8 | 47 | | 9 | 15 | | 10 | 53 | | 11 | 41 | | 12 | 40 | | 13 | 30 | | 14 | 11 | | 15 | 51 | | 16 | 67 | | 17 | 56 | | 18 | 39 | | 19 | 33 | | 20 | 29 | | 21 | 61 | | 22 | 18 | | 23 | 50 | | 24 | 30 | | 25 | 73 | | 26 | 22 | | 27 | 15 |
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| 92.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 82 | | matches | | 0 | "been erected" | | 1 | "was gone" | | 2 | "was pressed" |
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| 34.98% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 202 | | matches | | 0 | "was acting" | | 1 | "was tilting" | | 2 | "was carrying" | | 3 | "were operating" | | 4 | "wasn't just running" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 5 | | flaggedSentences | 10 | | totalSentences | 82 | | ratio | 0.122 | | matches | | 0 | "The rain in London didn't just fall; it hammered, a relentless, rhythmic assault that turned the city into a smear of neon and charcoal." | | 1 | "Every lead she followed led to a dead end, or worse, to a feeling of profound wrongness—the kind of unease that had preceded the night DS Morris died." | | 2 | "But Quinn remembered the look in his eyes in those final seconds—a terror that had nothing to do with a caliber of bullet." | | 3 | "She didn't call for backup; there was no backup for a ghost hunt." | | 4 | "This wasn't the chill of a London autumn; it was the cold of a tomb." | | 5 | "Faint, flickering lights—colors Quinn couldn't quite name, hues that felt bruised and unnatural—danced along the edges of her vision." | | 6 | "He pulled out a small, jagged object—a bone token, white and polished to a high sheen." | | 7 | "The clique wasn't just running a criminal enterprise; they were operating in the margins of reality itself." | | 8 | "As she moved, a sudden, sharp sensation pierced her mind—a flash of Morris, standing in a doorway, his face dissolving into something dark and shapeless." | | 9 | "It wasn't a human voice; it sounded like dry leaves skittering over pavement." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1179 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, moth-eaten velvet." |
| | adverbCount | 17 | | adverbRatio | 0.01441899915182358 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006785411365564037 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 14.33 | | std | 7.83 | | cv | 0.546 | | sampleLengths | | 0 | 24 | | 1 | 25 | | 2 | 19 | | 3 | 10 | | 4 | 26 | | 5 | 10 | | 6 | 18 | | 7 | 5 | | 8 | 24 | | 9 | 23 | | 10 | 28 | | 11 | 12 | | 12 | 12 | | 13 | 23 | | 14 | 17 | | 15 | 3 | | 16 | 15 | | 17 | 13 | | 18 | 18 | | 19 | 11 | | 20 | 20 | | 21 | 17 | | 22 | 21 | | 23 | 20 | | 24 | 15 | | 25 | 4 | | 26 | 8 | | 27 | 10 | | 28 | 5 | | 29 | 15 | | 30 | 17 | | 31 | 6 | | 32 | 15 | | 33 | 15 | | 34 | 21 | | 35 | 5 | | 36 | 19 | | 37 | 21 | | 38 | 4 | | 39 | 26 | | 40 | 2 | | 41 | 4 | | 42 | 5 | | 43 | 9 | | 44 | 31 | | 45 | 11 | | 46 | 6 | | 47 | 13 | | 48 | 17 | | 49 | 31 |
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| 34.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.2804878048780488 | | totalSentences | 82 | | uniqueOpeners | 23 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | | ratio | 0.012 | |
| 81.73% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 81 | | matches | | 0 | "She stood in the shadow" | | 1 | "His olive skin seemed to" | | 2 | "He wasn't acting like a" | | 3 | "He was acting like a" | | 4 | "She had been trailing him" | | 5 | "He hadn't believed in ghosts" | | 6 | "She moved with the practiced," | | 7 | "She didn't call for backup;" | | 8 | "She stepped out into the" | | 9 | "He moved with a desperate" | | 10 | "She heard the heavy thud" | | 11 | "She reached the door seconds" | | 12 | "She braced herself, gripped the" | | 13 | "It led to a descent." | | 14 | "She reached the bottom of" | | 15 | "It was an abandoned Tube" | | 16 | "She blinked, and he was" | | 17 | "She saw a woman in" | | 18 | "He pulled out a small," | | 19 | "He handed it over." |
| | ratio | 0.346 | |
| 27.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 81 | | matches | | 0 | "The rain in London didn't" | | 1 | "Detective Harlow Quinn pulled the" | | 2 | "She stood in the shadow" | | 3 | "Tomás Herrera was hard to" | | 4 | "His olive skin seemed to" | | 5 | "He wasn't acting like a" | | 6 | "He was acting like a" | | 7 | "Quinn checked her left wrist." | | 8 | "The worn leather strap of" | | 9 | "She had been trailing him" | | 10 | "Every lead she followed led" | | 11 | "Morris had been a man" | | 12 | "He hadn't believed in ghosts" | | 13 | "Herrera suddenly pivoted, ducking into" | | 14 | "Quinn didn't hesitate." | | 15 | "She moved with the practiced," | | 16 | "She didn't call for backup;" | | 17 | "She stepped out into the" | | 18 | "The alley was a throat" | | 19 | "Herrera was fast, his short," |
| | ratio | 0.864 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 81 | | matches | | 0 | "To follow him was to" | | 1 | "To stay in the light" |
| | ratio | 0.025 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 4 | | matches | | 0 | "Every lead she followed led to a dead end, or worse, to a feeling of profound wrongness—the kind of unease that had preceded the night DS Morris died." | | 1 | "Faint, flickering lights—colors Quinn couldn't quite name, hues that felt bruised and unnatural—danced along the edges of her vision." | | 2 | "Herrera was several yards ahead, moving through a labyrinth of makeshift stalls and draped fabrics that had been erected among the crumbling pillars of the stat…" | | 3 | "As she moved, a sudden, sharp sensation pierced her mind—a flash of Morris, standing in a doorway, his face dissolving into something dark and shapeless." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |