| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 765 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 54.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 765 | | totalAiIsms | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "mask of indifference" | | count | 1 |
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| | highlights | | 0 | "charged" | | 1 | "pounding" | | 2 | "scanned" | | 3 | "eyebrow" | | 4 | "transfixed" | | 5 | "mask of indifference" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 49 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 764 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 671 | | uniqueNames | 12 | | maxNameDensity | 3.13 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 21 | | Soho | 1 | | Tomás | 1 | | Herrera | 17 | | Raven | 2 | | Nest | 2 | | Morris | 1 | | Silas | 8 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Raven" | | 5 | "Morris" | | 6 | "Silas" |
| | places | | | globalScore | 0 | | windowScore | 0.333 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed transfixed by the stairway, his eyes burning with a mixture of fear and excitement" |
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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 | 764 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 19.49% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 54.57 | | std | 11.91 | | cv | 0.218 | | sampleLengths | | 0 | 65 | | 1 | 49 | | 2 | 52 | | 3 | 65 | | 4 | 81 | | 5 | 47 | | 6 | 28 | | 7 | 52 | | 8 | 50 | | 9 | 65 | | 10 | 44 | | 11 | 58 | | 12 | 52 | | 13 | 56 |
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| 90.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 49 | | matches | | 0 | "was connected" | | 1 | "was gone" |
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| 85.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 116 | | matches | | 0 | "was heading" | | 1 | "was losing" |
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| 89.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 54 | | ratio | 0.019 | | matches | | 0 | "A memory surfaced – DS Morris's case, three years ago." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 199 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.03015075376884422 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.005025125628140704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 54 | | echoCount | 0 | | echoWords | (empty) | |
| 63.16% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 54 | | mean | 14.15 | | std | 4.36 | | cv | 0.308 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 15 | | 3 | 19 | | 4 | 18 | | 5 | 19 | | 6 | 12 | | 7 | 11 | | 8 | 10 | | 9 | 16 | | 10 | 15 | | 11 | 19 | | 12 | 17 | | 13 | 7 | | 14 | 22 | | 15 | 10 | | 16 | 14 | | 17 | 18 | | 18 | 19 | | 19 | 20 | | 20 | 13 | | 21 | 12 | | 22 | 8 | | 23 | 14 | | 24 | 11 | | 25 | 13 | | 26 | 4 | | 27 | 13 | | 28 | 20 | | 29 | 11 | | 30 | 8 | | 31 | 12 | | 32 | 14 | | 33 | 13 | | 34 | 11 | | 35 | 17 | | 36 | 11 | | 37 | 19 | | 38 | 18 | | 39 | 12 | | 40 | 13 | | 41 | 19 | | 42 | 21 | | 43 | 17 | | 44 | 20 | | 45 | 5 | | 46 | 11 | | 47 | 15 | | 48 | 10 | | 49 | 11 |
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| 59.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.37037037037037035 | | totalSentences | 54 | | uniqueOpeners | 20 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 49 | | matches | | 0 | "Maybe Herrera was connected to" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 49 | | matches | | 0 | "She charged through the Soho" | | 1 | "She spotted Herrera ducking into" | | 2 | "He vanished into a dimly" | | 3 | "She burst into the alley," | | 4 | "She scanned the crowd, her" | | 5 | "She spotted him at the" | | 6 | "She decided to play it" | | 7 | "She set the glass on" | | 8 | "She glanced at Herrera, who" | | 9 | "She took a deep breath," | | 10 | "she said, her voice low" |
| | ratio | 0.224 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 49 | | matches | | 0 | "Rain pounded against Detective Harlow" | | 1 | "She charged through the Soho" | | 2 | "Neon signs reflected off the" | | 3 | "People scurried for cover, and" | | 4 | "She spotted Herrera ducking into" | | 5 | "Quinn's voice cut through the" | | 6 | "He vanished into a dimly" | | 7 | "She burst into the alley," | | 8 | "The smell of rotting garbage" | | 9 | "A poster plastered on the" | | 10 | "Quinn remembered a stakeout there" | | 11 | "She scanned the crowd, her" | | 12 | "The distinctive sign of The" | | 13 | "Quinn's gut told her Herrera" | | 14 | "A memory surfaced – DS" | | 15 | "Quinn still didn't understand the" | | 16 | "Silas, the bar's owner, was" | | 17 | "Quinn's mind whirled with possibilities" | | 18 | "The air inside was thick" | | 19 | "Patrons huddled in the corners," |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "Rain pounded against Detective Harlow Quinn's suit, seeping into her collar and weighing down her shoulders." | | 1 | "She spotted Herrera ducking into a narrow alley, and she followed, her boots pounding against the wet stone." | | 2 | "Quinn still didn't understand the supernatural elements that had led to her partner's demise." | | 3 | "She glanced at Herrera, who seemed transfixed by the stairway, his eyes burning with a mixture of fear and excitement." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas said, his voice dripping with menace" | | 1 | "Silas said, his smile stretching wide" | | 2 | "she said, her voice low and even" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.25 | | effectiveRatio | 0.2 | |