| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1305 | | 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) | |
| 50.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1305 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "tracing" | | 1 | "tension" | | 2 | "measured" | | 3 | "silence" | | 4 | "structure" | | 5 | "flicker" | | 6 | "footsteps" | | 7 | "echoing" | | 8 | "etched" | | 9 | "constructed" | | 10 | "glinting" | | 11 | "pulsed" | | 12 | "weight" |
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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 | 91 | | matches | (empty) | |
| 17.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 5 | | narrationSentences | 91 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 10 | | totalWords | 1286 | | ratio | 0.008 | | matches | | 0 | "Come on, Harlow. Since when do you wait for permission?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1280 | | uniqueNames | 21 | | maxNameDensity | 0.7 | | worstName | "Herrera" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Herrera" | | discoveredNames | | Thames-born | 1 | | Harlow | 3 | | Quinn | 7 | | Soho | 2 | | Herrera | 9 | | Raven | 2 | | Nest | 2 | | Morris | 7 | | John | 1 | | Doe | 1 | | Camden | 1 | | Tube | 2 | | Victorian | 1 | | Veil | 2 | | Market | 2 | | London | 2 | | Tomás | 2 | | Saint | 1 | | Christopher | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Morris" | | 5 | "John" | | 6 | "Doe" | | 7 | "Market" | | 8 | "Tomás" | | 9 | "Saint" | | 10 | "Christopher" |
| | places | | 0 | "Thames-born" | | 1 | "Soho" | | 2 | "Camden" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 81.51% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 2 | | matches | | 0 | "humming that seemed to come from the air itself, the clink of glass on glass, the sizzle of something cooking that smelled of spices and burnt sugar" | | 1 | "looked like scaled hide" |
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| 44.48% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.555 | | wordCount | 1286 | | matches | | 0 | "not around her warrant card, but around a small, smooth object she’d found tucked into the pa" | | 1 | "not hiding now, but not challenging anyone either" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 58.45 | | std | 32.54 | | cv | 0.557 | | sampleLengths | | 0 | 74 | | 1 | 109 | | 2 | 112 | | 3 | 73 | | 4 | 15 | | 5 | 92 | | 6 | 39 | | 7 | 5 | | 8 | 60 | | 9 | 48 | | 10 | 73 | | 11 | 11 | | 12 | 14 | | 13 | 77 | | 14 | 79 | | 15 | 50 | | 16 | 91 | | 17 | 20 | | 18 | 67 | | 19 | 37 | | 20 | 35 | | 21 | 105 |
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| 97.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 91 | | matches | | 0 | "been denied" | | 1 | "was riveted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 192 | | matches | | 0 | "was heading" | | 1 | "was talking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 91 | | ratio | 0.055 | | matches | | 0 | "He hadn’t looked her way, but he’d checked his watch—the same worn leather watch she wore on her own left wrist, a habit she’d picked up from Morris—and then he’d started walking, fast." | | 1 | "Morris’s face flashed in her mind, not as he was in life—laughing, a little rumpled—but as he was in the morgue: pale, confused, with a tiny, inexplicable burn mark on his palm in the shape of a spiraling rune." | | 2 | "A flicker of movement ahead—Herrera’s silhouette against a faint, greenish light emanating from deeper within." | | 3 | "She’d never understood what it was—a pale, lightweight disc, like polished bone, etched with minute, swirling lines." | | 4 | "Vendors haggled with customers whose forms seemed to shift at the edge of vision—a tall figure with an unnaturally graceful neck, a squat, bearded man whose shadow didn’t match his shape." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1299 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.024634334103156273 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006928406466512702 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 14.13 | | std | 9.28 | | cv | 0.657 | | sampleLengths | | 0 | 18 | | 1 | 33 | | 2 | 23 | | 3 | 23 | | 4 | 21 | | 5 | 24 | | 6 | 33 | | 7 | 2 | | 8 | 6 | | 9 | 23 | | 10 | 2 | | 11 | 25 | | 12 | 14 | | 13 | 16 | | 14 | 32 | | 15 | 27 | | 16 | 7 | | 17 | 13 | | 18 | 8 | | 19 | 18 | | 20 | 3 | | 21 | 12 | | 22 | 14 | | 23 | 3 | | 24 | 8 | | 25 | 7 | | 26 | 2 | | 27 | 29 | | 28 | 12 | | 29 | 17 | | 30 | 39 | | 31 | 5 | | 32 | 18 | | 33 | 15 | | 34 | 14 | | 35 | 13 | | 36 | 21 | | 37 | 4 | | 38 | 16 | | 39 | 2 | | 40 | 2 | | 41 | 3 | | 42 | 5 | | 43 | 6 | | 44 | 7 | | 45 | 27 | | 46 | 17 | | 47 | 11 | | 48 | 11 | | 49 | 9 |
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| 54.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.38461538461538464 | | totalSentences | 91 | | uniqueOpeners | 35 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 86 | | matches | | 0 | "Then she saw the slot." | | 1 | "Almost without thought, she slid" |
| | ratio | 0.023 | |
| 75.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 86 | | matches | | 0 | "Her eyes, sharp and brown," | | 1 | "He’d emerged from The Raven’s" | | 2 | "He hadn’t looked her way," | | 3 | "She followed, her own pace" | | 4 | "His file said he’d lost" | | 5 | "He was heading for the" | | 6 | "He didn’t hesitate." | | 7 | "He ducked under a frayed" | | 8 | "She had no warrant for" | | 9 | "Her request for a surveillance" | | 10 | "It was also, quite possibly," | | 11 | "She ducked under the barrier." | | 12 | "She heard his footsteps echoing," | | 13 | "She reached the door." | | 14 | "It was riveted iron, like" | | 15 | "It didn’t budge." | | 16 | "Her fingers closed not around" | | 17 | "She’d never understood what it" | | 18 | "She’d kept it as a" | | 19 | "It was the low, bustling" |
| | ratio | 0.36 | |
| 35.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 86 | | matches | | 0 | "The rain didn't fall so" | | 1 | "Detective Harlow Quinn kept her" | | 2 | "Her eyes, sharp and brown," | | 3 | "Tomás Herrera moved with a" | | 4 | "He’d emerged from The Raven’s" | | 5 | "Quinn had been leaning against" | | 6 | "He hadn’t looked her way," | | 7 | "Running would have been an" | | 8 | "She followed, her own pace" | | 9 | "A licensed medic turned back-alley" | | 10 | "His file said he’d lost" | | 11 | "Herrera turned down a side" | | 12 | "The rain intensified, sheeting down" | | 13 | "Quinn wiped water from her" | | 14 | "He was heading for the" | | 15 | "The disused one, its entrance" | | 16 | "He didn’t hesitate." | | 17 | "He ducked under a frayed" | | 18 | "Quinn stopped at the mouth" | | 19 | "This was it." |
| | ratio | 0.849 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 2 | | matches | | 0 | "For three years, since the night Morris’s radio had dissolved into a scream that was half static, half something else, she’d been picking at threads." | | 1 | "It was the low, bustling murmur of a marketplace, but layered with stranger sounds: a low, melodic humming that seemed to come from the air itself, the clink of…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |