| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 724 | | 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) | |
| 10.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 724 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "fractured" | | 1 | "flickered" | | 2 | "pulse" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "gloom" | | 6 | "vibrated" | | 7 | "stomach" | | 8 | "unreadable" | | 9 | "could feel" | | 10 | "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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 713 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | 0 | "Then, without turning, he laughed—a wet, rattling sound." |
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| 23.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 634 | | uniqueNames | 6 | | maxNameDensity | 2.52 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 16 | | Raven | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Herrera" |
| | places | | | globalScore | 0.238 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 713 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 23.77 | | std | 19.86 | | cv | 0.836 | | sampleLengths | | 0 | 66 | | 1 | 35 | | 2 | 76 | | 3 | 18 | | 4 | 19 | | 5 | 12 | | 6 | 41 | | 7 | 57 | | 8 | 31 | | 9 | 68 | | 10 | 6 | | 11 | 19 | | 12 | 11 | | 13 | 14 | | 14 | 3 | | 15 | 11 | | 16 | 36 | | 17 | 13 | | 18 | 24 | | 19 | 40 | | 20 | 15 | | 21 | 8 | | 22 | 11 | | 23 | 7 | | 24 | 16 | | 25 | 9 | | 26 | 8 | | 27 | 25 | | 28 | 5 | | 29 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 16.51% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 109 | | matches | | 0 | "was letting" | | 1 | "wasn’t leaving" | | 2 | "wasn’t backing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 93 | | ratio | 0.065 | | matches | | 0 | "The suspect—some wiry kid with a hood pulled low—darted ahead, weaving between late-night stragglers and delivery cyclists." | | 1 | "Then, without turning, he laughed—a wet, rattling sound." | | 2 | "The stairs were slick, the air thick with the scent of damp stone and something older—copper, maybe, or ozone." | | 3 | "A distant hum vibrated through the walls—machinery?" | | 4 | "A few figures moved in the dim light, their shapes wrong—too tall, too thin, their limbs bending at angles that made Quinn’s stomach clench." | | 5 | "Then, from the shadows, a voice—raspy, amused." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 645 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.031007751937984496 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 7.67 | | std | 5.12 | | cv | 0.668 | | sampleLengths | | 0 | 20 | | 1 | 13 | | 2 | 17 | | 3 | 16 | | 4 | 10 | | 5 | 2 | | 6 | 9 | | 7 | 3 | | 8 | 3 | | 9 | 8 | | 10 | 16 | | 11 | 13 | | 12 | 11 | | 13 | 9 | | 14 | 14 | | 15 | 13 | | 16 | 11 | | 17 | 7 | | 18 | 3 | | 19 | 8 | | 20 | 8 | | 21 | 4 | | 22 | 8 | | 23 | 3 | | 24 | 11 | | 25 | 10 | | 26 | 5 | | 27 | 12 | | 28 | 19 | | 29 | 11 | | 30 | 9 | | 31 | 18 | | 32 | 9 | | 33 | 5 | | 34 | 3 | | 35 | 7 | | 36 | 1 | | 37 | 6 | | 38 | 12 | | 39 | 14 | | 40 | 24 | | 41 | 8 | | 42 | 10 | | 43 | 6 | | 44 | 16 | | 45 | 3 | | 46 | 7 | | 47 | 4 | | 48 | 5 | | 49 | 8 |
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| 60.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.40860215053763443 | | totalSentences | 93 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 68 | | matches | | 0 | "Just a runner." | | 1 | "Instead, he crouched beside a" | | 2 | "Then, without turning, he laughed—a" | | 3 | "Then, from the shadows, a" |
| | ratio | 0.059 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 68 | | matches | | 0 | "He had the desperate speed" | | 1 | "She took another step." | | 2 | "She cursed, holstering her weapon." | | 3 | "She turned left, following the" | | 4 | "It tilted its head, then" | | 5 | "She held out a palm" | | 6 | "She didn’t have a token." | | 7 | "She didn’t even know what" | | 8 | "She reached into her pocket," | | 9 | "Her fingers curled into fists." | | 10 | "She could feel the weight" | | 11 | "She was alone down here." | | 12 | "She took a step forward." |
| | ratio | 0.191 | |
| 70.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 68 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Harlow Quinn’s boots splashed through" | | 2 | "The suspect—some wiry kid with" | | 3 | "He had the desperate speed" | | 4 | "Quinn’s fingers twitched near her" | | 5 | "The kid wasn’t armed, not" | | 6 | "A messenger, maybe." | | 7 | "The kid skidded around the" | | 8 | "Quinn followed, her pulse steady" | | 9 | "The alley stank of wet" | | 10 | "A fire escape ladder dangled" | | 11 | "Quinn slowed, her hand resting" | | 12 | "The kid froze." | | 13 | "She took another step." | | 14 | "The lock clicked." | | 15 | "The door swung open, revealing" | | 16 | "The kid bolted down the" | | 17 | "She cursed, holstering her weapon." | | 18 | "The stairs were slick, the" | | 19 | "The kid’s footsteps echoed ahead," |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "The rain fell in sheets, turning the pavement into a slick mirror that fractured the neon glow of Soho’s nightlife." | | 1 | "He had the desperate speed of someone who knew the city’s veins better than his own." | | 2 | "The beam cut through the gloom, illuminating peeling paint and graffiti that wasn’t in any language she recognized." | | 3 | "A few figures moved in the dim light, their shapes wrong—too tall, too thin, their limbs bending at angles that made Quinn’s stomach clench." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |