| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1019 | | 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) | |
| 55.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1019 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "glint" | | 1 | "flicker" | | 2 | "pulse" | | 3 | "echoed" | | 4 | "stomach" | | 5 | "tracing" | | 6 | "pulsed" | | 7 | "raced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 6 | | totalWords | 1008 | | ratio | 0.006 | | matches | | 0 | "Another one?" | | 1 | "detective" | | 2 | "old" | | 3 | "creature" | | 4 | "you" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 907 | | uniqueNames | 13 | | maxNameDensity | 1.87 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 17 | | Raven | 2 | | Nest | 2 | | Tube | 2 | | Spanish | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 1 | | Tomás | 7 | | Veil | 1 | | Market | 1 | | Harlow | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Morris" | | 5 | "Tomás" | | 6 | "Harlow" |
| | places | | | globalScore | 0.563 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.992 | | wordCount | 1008 | | matches | | 0 | "not in threat, but in warning" |
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| 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 | 42 | | mean | 24 | | std | 21.25 | | cv | 0.885 | | sampleLengths | | 0 | 77 | | 1 | 77 | | 2 | 58 | | 3 | 16 | | 4 | 8 | | 5 | 42 | | 6 | 8 | | 7 | 24 | | 8 | 12 | | 9 | 26 | | 10 | 19 | | 11 | 11 | | 12 | 49 | | 13 | 6 | | 14 | 41 | | 15 | 10 | | 16 | 67 | | 17 | 50 | | 18 | 15 | | 19 | 65 | | 20 | 4 | | 21 | 2 | | 22 | 48 | | 23 | 6 | | 24 | 4 | | 25 | 31 | | 26 | 8 | | 27 | 23 | | 28 | 9 | | 29 | 3 | | 30 | 10 | | 31 | 35 | | 32 | 11 | | 33 | 14 | | 34 | 6 | | 35 | 11 | | 36 | 33 | | 37 | 21 | | 38 | 4 | | 39 | 3 | | 40 | 25 | | 41 | 16 |
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| 97.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 94 | | matches | | |
| 31.22% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 158 | | matches | | 0 | "was coming was slipping" | | 1 | "wasn’t looking" | | 2 | "was standing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 109 | | ratio | 0.073 | | matches | | 0 | "The suspect—a wiry man in a long coat—had vanished into the labyrinth of alleys behind The Raven’s Nest, but she knew these streets like the back of her hand." | | 1 | "The man was armed—she’d seen the glint of something metallic in his hand before he bolted—but she wasn’t about to walk into an ambush." | | 2 | "The hooded figure raised a hand, palm out—not in threat, but in warning." | | 3 | "“Everyone knows you, *detective*.” The way he said it—like it was both a title and a warning." | | 4 | "Quinn adjusted her watch—the one she’d worn since Morris’s last case, the one she’d sworn she’d never lose again—and made her decision." | | 5 | "She’d seen these before—in evidence photos, in whispers from informants." | | 6 | "The suspect’s voice rose, desperate, as the thing—*creature*—leaned in closer." | | 7 | "The creature hissed, recoiling, but it wasn’t human anymore—just a blur of movement, slipping between the shadows." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 918 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02832244008714597 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0032679738562091504 | |
| 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 | 9.25 | | std | 7.09 | | cv | 0.767 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 29 | | 3 | 16 | | 4 | 19 | | 5 | 17 | | 6 | 13 | | 7 | 2 | | 8 | 24 | | 9 | 2 | | 10 | 7 | | 11 | 15 | | 12 | 3 | | 13 | 20 | | 14 | 13 | | 15 | 12 | | 16 | 2 | | 17 | 2 | | 18 | 3 | | 19 | 5 | | 20 | 23 | | 21 | 9 | | 22 | 10 | | 23 | 5 | | 24 | 3 | | 25 | 17 | | 26 | 7 | | 27 | 6 | | 28 | 6 | | 29 | 9 | | 30 | 17 | | 31 | 7 | | 32 | 10 | | 33 | 2 | | 34 | 3 | | 35 | 8 | | 36 | 4 | | 37 | 4 | | 38 | 19 | | 39 | 22 | | 40 | 6 | | 41 | 3 | | 42 | 18 | | 43 | 3 | | 44 | 10 | | 45 | 4 | | 46 | 3 | | 47 | 10 | | 48 | 16 | | 49 | 32 |
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| 39.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.30275229357798167 | | totalSentences | 109 | | uniqueOpeners | 33 | |
| 41.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 80 | | matches | | | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 80 | | matches | | 0 | "She ducked beneath the awning" | | 1 | "She didn’t lower her guard." | | 2 | "He gestured toward the rusted" | | 3 | "She should’ve turned back." | | 4 | "He turned and led her" | | 5 | "She’d seen these before—in evidence" | | 6 | "They weren’t just bones." | | 7 | "They were keys." | | 8 | "She followed, her boots silent" | | 9 | "He was standing near the" | | 10 | "She could take him now." | | 11 | "She’d seen this before." | | 12 | "She drew her service weapon" | | 13 | "She could arrest him." | | 14 | "She holstered her weapon." | | 15 | "He grabbed her hand and" |
| | ratio | 0.2 | |
| 28.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 80 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Harlow Quinn’s boots splashed through" | | 2 | "The suspect—a wiry man in" | | 3 | "She ducked beneath the awning" | | 4 | "The suspect had turned left," | | 5 | "Quinn’s fingers twitched toward the" | | 6 | "The man was armed—she’d seen" | | 7 | "A flicker of movement caught" | | 8 | "A figure in a dark" | | 9 | "Quinn’s pulse spiked." | | 10 | "*Another one?* She’d already radioed" | | 11 | "The hooded figure raised a" | | 12 | "the voice was low, accented" | | 13 | "Quinn’s jaw tightened." | | 14 | "The figure stepped forward, the" | | 15 | "A Saint Christopher medallion glinted" | | 16 | "She didn’t lower her guard." | | 17 | "The way he said it—like" | | 18 | "Quinn’s grip tightened on her" | | 19 | "He gestured toward the rusted" |
| | ratio | 0.863 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 0 | | effectiveRatio | 0 | |