| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said simply [simply]" |
| | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 948 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 948 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "glinting" | | 1 | "flicker" | | 2 | "gloom" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "pulsed" | | 6 | "kaleidoscope" | | 7 | "velvet" | | 8 | "silk" | | 9 | "hulking" | | 10 | "disrupting" | | 11 | "unreadable" | | 12 | "gleaming" | | 13 | "pulse" | | 14 | "vibrated" | | 15 | "etched" | | 16 | "weight" | | 17 | "oppressive" | | 18 | "loomed" | | 19 | "shattered" |
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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) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 18 | | totalWords | 938 | | ratio | 0.019 | | matches | | 0 | "18 years" | | 1 | "You don’t vanish on my watch." | | 2 | "patients" | | 3 | "“Lost, darling?”" | | 4 | "Alchemical" | | 5 | "Morris’ face, haunting her dreams." | | 6 | "“Harlow.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 835 | | uniqueNames | 12 | | maxNameDensity | 1.68 | | worstName | "Herrera" | | maxWindowNameDensity | 3 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 13 | | Herrera | 14 | | Tube | 1 | | Veil | 3 | | Market | 3 | | Metropolitan | 2 | | Police | 2 | | Ahead | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Market" | | 4 | "Police" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | | globalScore | 0.662 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 938 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 46.9 | | std | 26.24 | | cv | 0.559 | | sampleLengths | | 0 | 84 | | 1 | 78 | | 2 | 72 | | 3 | 90 | | 4 | 78 | | 5 | 68 | | 6 | 59 | | 7 | 44 | | 8 | 12 | | 9 | 31 | | 10 | 35 | | 11 | 18 | | 12 | 63 | | 13 | 49 | | 14 | 5 | | 15 | 46 | | 16 | 38 | | 17 | 48 | | 18 | 17 | | 19 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 152 | | matches | | 0 | "was running" | | 1 | "was already weaving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 100 | | ratio | 0.09 | | matches | | 0 | "The figure ahead—dark coat flaring like a banner—darted left into an alley, nearly disappearing into the downpour." | | 1 | "Quinn’s hand didn’t waver; her fingers tightened around the holstered gun at her hip, the worn leather of her watchband biting into her wrist." | | 2 | "Quinn had pieced together enough—illicit blood serum, cursed bandages, whispered rumors of *patients* leaving his flat with hollow eyes and hollow morals." | | 3 | "The air thickened, reeking of mildew and something metallic—something old." | | 4 | "Quinn spun, gun drawn, but the figure—skin the color of old parchment, teeth like broken pearls—shrunk back with a giggle." | | 5 | "Herrera turned, his expression unreadable beneath the neon glare of his medallion—Saint Christopher, tarnished and worn." | | 6 | "But the weight of Herrera’s gaze, the sharp tang of his lies in the air—they anchored her." | | 7 | "A flicker of movement ahead—a figure in a raven-black coat, disappearing around a bend." | | 8 | "His eyes snapped open—brown as Quinn’s own." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 746 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.02546916890080429 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005361930294906166 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 9.38 | | std | 6.61 | | cv | 0.705 | | sampleLengths | | 0 | 14 | | 1 | 19 | | 2 | 17 | | 3 | 24 | | 4 | 4 | | 5 | 6 | | 6 | 21 | | 7 | 2 | | 8 | 5 | | 9 | 18 | | 10 | 22 | | 11 | 5 | | 12 | 2 | | 13 | 3 | | 14 | 25 | | 15 | 14 | | 16 | 10 | | 17 | 8 | | 18 | 2 | | 19 | 8 | | 20 | 5 | | 21 | 7 | | 22 | 2 | | 23 | 17 | | 24 | 17 | | 25 | 14 | | 26 | 24 | | 27 | 9 | | 28 | 15 | | 29 | 12 | | 30 | 8 | | 31 | 8 | | 32 | 23 | | 33 | 10 | | 34 | 2 | | 35 | 3 | | 36 | 14 | | 37 | 3 | | 38 | 3 | | 39 | 3 | | 40 | 10 | | 41 | 20 | | 42 | 12 | | 43 | 10 | | 44 | 12 | | 45 | 9 | | 46 | 16 | | 47 | 8 | | 48 | 4 | | 49 | 10 |
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| 55.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.35 | | totalSentences | 100 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 78 | | matches | | 0 | "*You don’t vanish on my" | | 1 | "He’d been down here before." | | 2 | "She stepped deeper, her boots" | | 3 | "She didn’t answer." | | 4 | "Her flashlight beam snapped toward" | | 5 | "She did not." | | 6 | "it trilled, vanishing into the" | | 7 | "he said, voice dry as" | | 8 | "he said, flat and certain" | | 9 | "he corrected, his scar twitching" | | 10 | "Her pulse stammered." | | 11 | "Her grip on the flashlight" | | 12 | "he said simply" | | 13 | "He led her through a" | | 14 | "She stepped through the gates." | | 15 | "His eyes snapped open—brown as" | | 16 | "His voice rasped, urgent" |
| | ratio | 0.218 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 78 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "The figure ahead—dark coat flaring" | | 3 | "Quinn’s hand didn’t waver; her" | | 4 | "*You don’t vanish on my" | | 5 | "The suspect’s face was half-hidden" | | 6 | "The name tasted like ashes." | | 7 | "A paramedic who dealt in" | | 8 | "Quinn had pieced together enough—illicit" | | 9 | "A trash can clattered as" | | 10 | "Quinn followed, her flashlight slicing" | | 11 | "The air thickened, reeking of" | | 12 | "Herrera’s footsteps echoed faintly ahead," | | 13 | "He’d been down here before." | | 14 | "The tunnel opened into a" | | 15 | "Stalls of stained canvas lined" | | 16 | "A man in a frayed" | | 17 | "A woman in a foxed" | | 18 | "The place moved like a" | | 19 | "Herrera was already weaving through" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 5 | | matches | | 0 | "Stalls of stained canvas lined the scaffolding, their wares glinting in the cold fire of mismatched lanterns." | | 1 | "Herrera was already weaving through the throng, his form dissolving into the kaleidoscope of shadows." | | 2 | "She stepped deeper, her boots slapping against the wet floor, the air growing heavier with the scent of burnt sage and something sweet-rotten." | | 3 | "The case that bled into shadows, the one that had cost him his life." | | 4 | "He led her through a labyrinth of stalls, past a mirror that reflected only the viewer’s worst memories, past a child hawking hourglasses filled with ink-black …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, voice dry as a tomb" | | 1 | "he corrected, his scar twitching" | | 2 | "His voice rasped, urgent" |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "it trilled (trill)" | | 1 | "he corrected (correct)" |
| | dialogueSentences | 15 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0.286 | | effectiveRatio | 0.267 | |