| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1255 | | 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) | |
| 24.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1255 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "flicker" | | 1 | "rhythmic" | | 2 | "familiar" | | 3 | "footsteps" | | 4 | "silence" | | 5 | "scanning" | | 6 | "gloom" | | 7 | "pulse" | | 8 | "resonated" | | 9 | "shimmered" | | 10 | "synchronized" | | 11 | "raced" | | 12 | "pulsed" | | 13 | "velvet" | | 14 | "intricate" | | 15 | "tangible" | | 16 | "etched" |
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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 | 1 | | narrationSentences | 92 | | matches | | |
| 96.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 9 | | totalWords | 1251 | | ratio | 0.007 | | matches | | 0 | "Objective: Apprehend suspect. Constraint: Unidentified environment. Threat level: Extreme." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1242 | | uniqueNames | 13 | | maxNameDensity | 0.89 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Soho | 1 | | Harlow | 2 | | Quinn | 11 | | Southwark | 1 | | Tube | 1 | | Veil | 2 | | Market | 2 | | Apprehend | 1 | | Unidentified | 1 | | Morris | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 2 | | matches | | 0 | "quite look human" | | 1 | "figures that seemed to melt into the darkness" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.799 | | wordCount | 1251 | | matches | | 0 | "not money, but a small, jagged piece of bone, carved with intricate, swirli" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 93 | | matches | | 0 | "rationalize that night" |
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| 98.62% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 44.68 | | std | 22.12 | | cv | 0.495 | | sampleLengths | | 0 | 73 | | 1 | 65 | | 2 | 16 | | 3 | 6 | | 4 | 58 | | 5 | 65 | | 6 | 71 | | 7 | 56 | | 8 | 52 | | 9 | 56 | | 10 | 7 | | 11 | 60 | | 12 | 54 | | 13 | 31 | | 14 | 30 | | 15 | 100 | | 16 | 46 | | 17 | 36 | | 18 | 56 | | 19 | 8 | | 20 | 58 | | 21 | 46 | | 22 | 15 | | 23 | 19 | | 24 | 46 | | 25 | 42 | | 26 | 44 | | 27 | 35 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 92 | | matches | | 0 | "been transformed" | | 1 | "were carved" | | 2 | "were written" | | 3 | "been gone" |
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| 36.60% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 204 | | matches | | 0 | "was heading" | | 1 | "were shattering" | | 2 | "were shaking" | | 3 | "was chasing" | | 4 | "was breaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 4 | | flaggedSentences | 9 | | totalSentences | 93 | | ratio | 0.097 | | matches | | 0 | "The rain didn't fall in London; it descended like a heavy, grey curtain, blurring the neon lights of Soho into smeared stains of color against the asphalt." | | 1 | "She saw him through the crowd—a flicker of a charcoal coat, a gait too hurried to be casual." | | 2 | "She didn't rely on sight alone; she listened to the rhythm of his breathing, the scrape of his soles, the way the wind whistled differently when he rounded a corner." | | 3 | "The man didn't hesitate; he slipped through the gap, disappearing into the darkness of the stairwell." | | 4 | "There was a low hum, a vibration that resonated in her marrow, and the faint, heady scent of sandalwood and something metallic—like blood on a hot stove." | | 5 | "She had heard the whispers in the precinct—the urban legends whispered by officers who had seen too much and believed too little." | | 6 | "He reached into his pocket and produced something—not money, but a small, jagged piece of bone, carved with intricate, swirling runes." | | 7 | "Several heads turned—heads that moved with too much fluidity, with eyes that caught the light in ways no human eye should." | | 8 | "The market didn't descend into chaos; it simply shifted." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1247 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, leather-bound object." |
| | adverbCount | 23 | | adverbRatio | 0.018444266238973536 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007217321571772253 | |
| 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 | 13.45 | | std | 7.76 | | cv | 0.577 | | sampleLengths | | 0 | 27 | | 1 | 17 | | 2 | 29 | | 3 | 18 | | 4 | 14 | | 5 | 33 | | 6 | 5 | | 7 | 11 | | 8 | 4 | | 9 | 2 | | 10 | 11 | | 11 | 15 | | 12 | 32 | | 13 | 4 | | 14 | 22 | | 15 | 9 | | 16 | 30 | | 17 | 13 | | 18 | 13 | | 19 | 10 | | 20 | 19 | | 21 | 16 | | 22 | 14 | | 23 | 17 | | 24 | 12 | | 25 | 1 | | 26 | 12 | | 27 | 10 | | 28 | 8 | | 29 | 13 | | 30 | 17 | | 31 | 4 | | 32 | 19 | | 33 | 10 | | 34 | 27 | | 35 | 7 | | 36 | 13 | | 37 | 6 | | 38 | 20 | | 39 | 21 | | 40 | 5 | | 41 | 22 | | 42 | 8 | | 43 | 19 | | 44 | 8 | | 45 | 23 | | 46 | 12 | | 47 | 9 | | 48 | 3 | | 49 | 3 |
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| 38.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2903225806451613 | | totalSentences | 93 | | uniqueOpeners | 27 | |
| 37.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 90 | | matches | | 0 | "Only the rhythmic drumming of" |
| | ratio | 0.011 | |
| 46.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 90 | | matches | | 0 | "She had spent eighteen years" | | 1 | "She saw him through the" | | 2 | "He was moving with a" | | 3 | "It was the same kinetic" | | 4 | "she called out" | | 5 | "Her voice was low, projecting" | | 6 | "She ignored the startled shouts" | | 7 | "He moved with a predatory" | | 8 | "She didn't rely on sight" | | 9 | "He turned hard into an" | | 10 | "She drew her service weapon," | | 11 | "She waited, counting the seconds," | | 12 | "She pushed through the gate," | | 13 | "She descended, the light from" | | 14 | "She found a tunnel." | | 15 | "It was an old Tube" | | 16 | "She rounded a bend and" | | 17 | "She had heard the whispers" | | 18 | "He was heading toward a" | | 19 | "Her mind raced, a tactical" |
| | ratio | 0.433 | |
| 37.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 90 | | matches | | 0 | "The rain didn't fall in" | | 1 | "Detective Harlow Quinn adjusted her" | | 2 | "She had spent eighteen years" | | 3 | "She saw him through the" | | 4 | "He was moving with a" | | 5 | "It was the same kinetic" | | 6 | "she called out" | | 7 | "Her voice was low, projecting" | | 8 | "The man didn't stop." | | 9 | "Quinn took off, her boots" | | 10 | "She ignored the startled shouts" | | 11 | "The chase led her away" | | 12 | "The suspect was fast." | | 13 | "He moved with a predatory" | | 14 | "Quinn kept her eyes locked" | | 15 | "She didn't rely on sight" | | 16 | "He turned hard into an" | | 17 | "Quinn followed, her lungs burning" | | 18 | "The alley was a dead" | | 19 | "The man didn't hesitate; he" |
| | ratio | 0.844 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | | ratio | 0.011 | |
| 9.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 11 | | matches | | 0 | "She had spent eighteen years training her body to ignore discomfort, a habit born of military precision and tempered by the ghosts of cases that refused to stay…" | | 1 | "He was moving with a desperate, rhythmic urgency that set her teeth on edge." | | 2 | "It was the same kinetic energy she’d seen in the men she’d chased through the docks and the alleys of Southwark, but there was something else here, a frantic vi…" | | 3 | "He moved with a predatory grace, weaving through the gaps between parked cars and skipping over puddles that reflected the flickering streetlamps." | | 4 | "There was a low hum, a vibration that resonated in her marrow, and the faint, heady scent of sandalwood and something metallic—like blood on a hot stove." | | 5 | "Lanterns hung from the arched ceiling, casting a shifting, iridescent light over a crowd that moved with a strange, synchronized fluidity." | | 6 | "She had heard the whispers in the precinct—the urban legends whispered by officers who had seen too much and believed too little." | | 7 | "Enchanted trinkets, alchemical brews that promised life or death, and information whispered by tongues that didn't quite look human." | | 8 | "He was heading toward a cluster of stalls near the center of the market, his movements frantic, his eyes darting toward the shadows." | | 9 | "He bolted in the opposite direction, disappearing into a crowd of figures that seemed to melt into the darkness." | | 10 | "She pushed past a woman whose hair seemed to be made of living smoke, her shoulder clipping a man who felt as solid and cold as granite." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn shouted, her voice cutting through the hypnotic drone of the market" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |