| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.433 | | leniency | 0.867 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1169 | | totalAiIsmAdverbs | 2 | | 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) | |
| 91.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1169 | | totalAiIsms | 2 | | found | | 0 | | | 1 | | word | "carried the weight" | | count | 1 |
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| | highlights | | 0 | "weight" | | 1 | "carried the weight" |
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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 | 92 | | matches | (empty) | |
| 96.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 881 | | uniqueNames | 10 | | maxNameDensity | 0.91 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Herrera" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 8 | | Morris | 2 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 5 | | Rain | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Market" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Herrera" | | 7 | "Rain" |
| | places | (empty) | | globalScore | 1 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 5 | | matches | | 0 | "smelled like something had died there rece" | | 1 | "something like champagne corks, only sharper" | | 2 | "weapons that seemed to hum with stored violence" | | 3 | "looked like liquid shadow" | | 4 | "shadows that seemed to move with purpose, with intelligence" |
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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 | 1160 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 23.2 | | std | 18.39 | | cv | 0.793 | | sampleLengths | | 0 | 52 | | 1 | 18 | | 2 | 25 | | 3 | 8 | | 4 | 52 | | 5 | 15 | | 6 | 35 | | 7 | 3 | | 8 | 5 | | 9 | 47 | | 10 | 2 | | 11 | 19 | | 12 | 1 | | 13 | 54 | | 14 | 7 | | 15 | 55 | | 16 | 7 | | 17 | 15 | | 18 | 46 | | 19 | 20 | | 20 | 43 | | 21 | 8 | | 22 | 56 | | 23 | 3 | | 24 | 15 | | 25 | 4 | | 26 | 50 | | 27 | 35 | | 28 | 47 | | 29 | 6 | | 30 | 16 | | 31 | 3 | | 32 | 41 | | 33 | 30 | | 34 | 3 | | 35 | 54 | | 36 | 19 | | 37 | 7 | | 38 | 8 | | 39 | 11 | | 40 | 44 | | 41 | 21 | | 42 | 5 | | 43 | 50 | | 44 | 12 | | 45 | 26 | | 46 | 25 | | 47 | 23 | | 48 | 7 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 157 | | matches | | |
| 11.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 109 | | ratio | 0.046 | | matches | | 0 | "The hole exhaled air that smelled wrong—damp, yes, but underneath it something chemical, something ancient." | | 1 | "The sound grew louder as she descended, joined by other sounds now—the crackle of energy, the pop of something like champagne corks, only sharper." | | 2 | "And people—humans and otherwise—bargaining in voices that carried the weight of old bargains." | | 3 | "\"—isn't going to get you far. The market moves every full moon. Tonight's new location only accepts blood keys, not bone.\"" | | 4 | "Doors lined both sides, each one different—some ornate, some plain, all of them closed." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 879 | | adjectiveStacks | 2 | | stackExamples | | 0 | "illuminating rust-eaten steps" | | 1 | "short curly dark hair," |
| | adverbCount | 31 | | adverbRatio | 0.03526734926052332 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010238907849829351 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 10.64 | | std | 7.59 | | cv | 0.713 | | sampleLengths | | 0 | 19 | | 1 | 27 | | 2 | 6 | | 3 | 18 | | 4 | 24 | | 5 | 1 | | 6 | 4 | | 7 | 4 | | 8 | 6 | | 9 | 19 | | 10 | 8 | | 11 | 19 | | 12 | 3 | | 13 | 12 | | 14 | 14 | | 15 | 21 | | 16 | 3 | | 17 | 4 | | 18 | 1 | | 19 | 22 | | 20 | 10 | | 21 | 15 | | 22 | 2 | | 23 | 13 | | 24 | 5 | | 25 | 1 | | 26 | 1 | | 27 | 6 | | 28 | 15 | | 29 | 13 | | 30 | 5 | | 31 | 15 | | 32 | 7 | | 33 | 16 | | 34 | 20 | | 35 | 19 | | 36 | 3 | | 37 | 4 | | 38 | 6 | | 39 | 9 | | 40 | 6 | | 41 | 9 | | 42 | 29 | | 43 | 2 | | 44 | 4 | | 45 | 3 | | 46 | 13 | | 47 | 6 | | 48 | 3 | | 49 | 10 |
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| 80.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5229357798165137 | | totalSentences | 109 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 83 | | matches | | 0 | "Of course he didn't." | | 1 | "Instead, he disappeared." | | 2 | "More like chanting, but in" | | 3 | "Somewhere, a door creaked open." |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 83 | | matches | | 0 | "It was the man twenty" | | 1 | "Her hand found her radio," | | 2 | "Her torch sliced through the" | | 3 | "She'd learned things since then." | | 4 | "He'd pressed it into her" | | 5 | "She wasn't ready." | | 6 | "She chose left because the" | | 7 | "She emerged into a space" | | 8 | "He wore a worn leather" | | 9 | "He didn't seem particularly concerned" | | 10 | "He glanced at her hand" | | 11 | "His eyes tracked the shadows" | | 12 | "He said her name like" | | 13 | "Her hand moved to her" | | 14 | "She thought of Morris." |
| | ratio | 0.181 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 83 | | matches | | 0 | "Detective Harlow Quinn's boots splashed" | | 1 | "It was the man twenty" | | 2 | "The word tore from her" | | 3 | "The suspect didn't stop." | | 4 | "Quinn pushed harder, her lungs" | | 5 | "Her hand found her radio," | | 6 | "Static hissed back." | | 7 | "The signal down here was" | | 8 | "The suspect veered left into" | | 9 | "Quinn's hand brushed her holster" | | 10 | "A grate lay skewed against" | | 11 | "Rain cascaded into the darkness" | | 12 | "The hole exhaled air that" | | 13 | "Her torch sliced through the" | | 14 | "The beam didn't reach bottom." | | 15 | "She'd learned things since then." | | 16 | "Things that lived in the" | | 17 | "Things that required bone tokens" | | 18 | "Quinn reached into her coat" | | 19 | "A gift from a informant" |
| | ratio | 0.699 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "As if that meant anything" |
| | ratio | 0.012 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 6 | | matches | | 0 | "A grate lay skewed against the pavement, the iron bars bent back as though something had forced its way through from below." | | 1 | "The hole exhaled air that smelled wrong—damp, yes, but underneath it something chemical, something ancient." | | 2 | "Her torch sliced through the rain, illuminating rust-eaten steps that descended into shadow." | | 3 | "Things that lived in the spaces between streetlights, in the forgotten tunnels beneath the city." | | 4 | "Stalls stretched in winding rows, their wares illuminated by floating orbs of light that defied physics." | | 5 | "He wore a worn leather apron over civilian clothes, and around his neck hung a Saint Christopher medallion that looked older than his grandmother." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Herrera stepped, his voice dropping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |