| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 969 | | 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) | |
| 12.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 969 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "echoed" | | 1 | "weight" | | 2 | "pulse" | | 3 | "quickened" | | 4 | "gloom" | | 5 | "vibrated" | | 6 | "whisper" | | 7 | "wavered" | | 8 | "glinting" | | 9 | "shattered" | | 10 | "flickered" | | 11 | "pulsed" | | 12 | "trembled" | | 13 | "raced" | | 14 | "silence" | | 15 | "depths" |
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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 | 74 | | matches | (empty) | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | 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 | 3 | | markdownWords | 6 | | totalWords | 960 | | ratio | 0.006 | | matches | | 0 | "“They’re not dead,”" | | 1 | "us" | | 2 | "“Detective Quinn.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 874 | | uniqueNames | 10 | | maxNameDensity | 1.49 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Raven | 2 | | Nest | 2 | | Harlow | 13 | | Quinn | 1 | | Tomás | 9 | | Herrera | 1 | | Morris | 4 | | Veil | 3 | | Market | 3 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Morris" | | 6 | "Market" |
| | places | | | globalScore | 0.756 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 3.125 | | wordCount | 960 | | matches | | 0 | "not just the air but the way the walls seemed to breathe" | | 1 | "not just objects but figures, suspended in amber liquid, their faces frozen in ex" | | 2 | "not her real name, but the one she’d buried with Morris" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 38.4 | | std | 20.96 | | cv | 0.546 | | sampleLengths | | 0 | 76 | | 1 | 96 | | 2 | 58 | | 3 | 59 | | 4 | 26 | | 5 | 58 | | 6 | 45 | | 7 | 51 | | 8 | 27 | | 9 | 23 | | 10 | 46 | | 11 | 27 | | 12 | 42 | | 13 | 47 | | 14 | 30 | | 15 | 33 | | 16 | 33 | | 17 | 47 | | 18 | 9 | | 19 | 41 | | 20 | 5 | | 21 | 5 | | 22 | 38 | | 23 | 20 | | 24 | 18 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "were lined" | | 1 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 167 | | matches | | 0 | "was telling" | | 1 | "were lying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 80 | | ratio | 0.125 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed through puddles as she pursued the figure ahead—Tomás Herrera, his silhouette hunched beneath a tattered trench coat, eyes flickering like candle flames in the downpour." | | 1 | "She’d lost her partner three years ago, under circumstances that still haunted her dreams—DS Morris, found in an alleyway with eyes wide as if he’d seen something no human should." | | 2 | "She heard the scrape of metal—a knife?—and pivoted, but the alley ended abruptly at a brick wall, its surface pockmarked with graffiti." | | 3 | "She’d seen this before—in the backrooms of old police stations, in the hidden rooms of places that shouldn’t exist." | | 4 | "The Raven’s Nest wasn’t just a bar; it was a threshold." | | 5 | "The air inside was thick, humid, carrying the scent of incense and something sweeter—like overripe fruit left to rot." | | 6 | "She thought of Morris again—the way his last words had been a whisper, not a scream." | | 7 | "If Tomás was telling the truth, this wasn’t just a black market—it was a prison." | | 8 | "Harlow’s breath caught as a figure materialized at the edge of the light—a man with no face, only a void where features should be." | | 9 | "In the distance, a voice whispered her name—not her real name, but the one she’d buried with Morris." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 883 | | adjectiveStacks | 1 | | stackExamples | | 0 | "colder, heavier, pressing against her" |
| | adverbCount | 29 | | adverbRatio | 0.03284258210645526 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011325028312570781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 12 | | std | 7.08 | | cv | 0.59 | | sampleLengths | | 0 | 22 | | 1 | 30 | | 2 | 24 | | 3 | 18 | | 4 | 22 | | 5 | 30 | | 6 | 26 | | 7 | 17 | | 8 | 17 | | 9 | 22 | | 10 | 2 | | 11 | 20 | | 12 | 6 | | 13 | 3 | | 14 | 19 | | 15 | 11 | | 16 | 6 | | 17 | 16 | | 18 | 4 | | 19 | 19 | | 20 | 13 | | 21 | 15 | | 22 | 11 | | 23 | 13 | | 24 | 14 | | 25 | 15 | | 26 | 3 | | 27 | 9 | | 28 | 16 | | 29 | 16 | | 30 | 10 | | 31 | 12 | | 32 | 11 | | 33 | 4 | | 34 | 6 | | 35 | 17 | | 36 | 4 | | 37 | 25 | | 38 | 10 | | 39 | 7 | | 40 | 9 | | 41 | 18 | | 42 | 3 | | 43 | 22 | | 44 | 17 | | 45 | 3 | | 46 | 20 | | 47 | 11 | | 48 | 13 | | 49 | 19 |
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| 65.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4125 | | totalSentences | 80 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 73 | | matches | | 0 | "Then she saw it: a" | | 1 | "Only Harlow remained, her watch" | | 2 | "Somewhere, in the depths of" |
| | ratio | 0.041 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 73 | | matches | | 0 | "His scar, a thin silver" | | 1 | "She’d lost her partner three" | | 2 | "She heard the scrape of" | | 3 | "She’d seen this before—in the" | | 4 | "She lunged, yanking the shelf" | | 5 | "he said, voice steady despite" | | 6 | "His eyes, warm brown and" | | 7 | "She thought of Morris again—the" | | 8 | "he’d said before the darkness" | | 9 | "she replied, though her voice" | | 10 | "She hadn’t brought one." | | 11 | "she asked, though she already" | | 12 | "He reached into his coat," | | 13 | "She thought of her partner’s" | | 14 | "His voice dropped" | | 15 | "It was between seeing the" | | 16 | "Her finger brushed the trigger." | | 17 | "She closed her eyes." |
| | ratio | 0.247 | |
| 49.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 73 | | matches | | 0 | "Rain fell in sheets over" | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "His scar, a thin silver" | | 3 | "The air smelled of wet" | | 4 | "Harlow’s fingers tightened around the" | | 5 | "She’d lost her partner three" | | 6 | "The case had gone cold," | | 7 | "Harlow’s boots echoed against brick" | | 8 | "Tomás was faster than she" | | 9 | "She heard the scrape of" | | 10 | "A faint draft whispered from" | | 11 | "Harlow’s pulse quickened." | | 12 | "She’d seen this before—in the" | | 13 | "The Raven’s Nest wasn’t just" | | 14 | "She lunged, yanking the shelf" | | 15 | "The bookshelf groaned, then slid" | | 16 | "Darkness swallowed her whole." | | 17 | "The air inside was thick," | | 18 | "Harlow’s flashlight cut through the" | | 19 | "The walls were lined with" |
| | ratio | 0.822 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "If Tomás was telling the" |
| | ratio | 0.014 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 6 | | matches | | 0 | "Rain fell in sheets over Soho, turning cobblestones to black mirrors that reflected the sickly green glow of the Raven’s Nest sign." | | 1 | "She’d lost her partner three years ago, under circumstances that still haunted her dreams—DS Morris, found in an alleyway with eyes wide as if he’d seen somethi…" | | 2 | "The case had gone cold, but the whispers had never stopped: whispers of things that moved between shadows, of clients who didn’t exist until they did." | | 3 | "She’d seen this before—in the backrooms of old police stations, in the hidden rooms of places that shouldn’t exist." | | 4 | "The bookshelf groaned, then slid open with a creak that sounded too deliberate to be coincidence." | | 5 | "The Veil Market dealt in stolen souls, in bargains struck with entities that wore human skin like costumes." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice steady despite the tremor in his hands" | | 1 | "she replied, though her voice wavered" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |