| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 16 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.083 | | effectiveRatio | 0.083 | |
| 95.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | 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) | |
| 33.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulse" | | 1 | "flickered" | | 2 | "reminder" | | 3 | "echoing" | | 4 | "weight" | | 5 | "throbbed" | | 6 | "warmth" | | 7 | "traced" | | 8 | "unreadable" | | 9 | "calculating" | | 10 | "shattered" | | 11 | "chill" |
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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 | 79 | | matches | (empty) | |
| 88.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1111 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1000 | | uniqueNames | 13 | | maxNameDensity | 1.3 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Harlow | 13 | | Quinn | 1 | | Tomas | 12 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Raven | 2 | | Nest | 3 | | Morris | 5 | | Seville | 1 | | Veil | 2 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomas" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Raven" | | 7 | "Nest" | | 8 | "Morris" | | 9 | "Market" |
| | places | | | globalScore | 0.85 | | windowScore | 1 | |
| 27.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like dried blood" | | 1 | "felt like a trap, or a test" | | 2 | "as if anchoring her to the world of the living" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.9 | | wordCount | 1111 | | matches | | 0 | "not here,” she said, but her eyes lingered on Harlow, calculating" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 13.04% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 111.1 | | std | 21.74 | | cv | 0.196 | | sampleLengths | | 0 | 118 | | 1 | 167 | | 2 | 109 | | 3 | 120 | | 4 | 120 | | 5 | 104 | | 6 | 90 | | 7 | 95 | | 8 | 99 | | 9 | 89 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 188 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 82 | | ratio | 0.122 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed through puddles as she pursued the figure ahead—Tomas Herrera, cloak dark against the wet night, moving with the loose-limbed grace of someone who’d spent years patching wounds in shadows." | | 1 | "The secret room behind the bookshelf was no more than a closet, but the way Tomas paused—shoulder brushing the spine of a leather-bound atlas—spoke of ritual." | | 2 | "A woman in a hooded cloak turned from a stall selling vials of liquid shadow; her eyes glowed faintly, pupils slit like a cat’s." | | 3 | "This wasn’t just a market—it was a cathedral for things that preyed on the living." | | 4 | "Tomas’s scar throbbed—a reminder of the knife that had nearly killed him, the night he’d learned some wounds don’t close." | | 5 | "She’d seen this before—in the case of the girl who’d sold her memories to become invisible, in the man who’d traded his shadow for a second chance." | | 6 | "To force her to see what he’d seen in Morris’s eyes the night he died—the thing that had whispered in his ear, promising answers if he’d just look closer." | | 7 | "She thought of Morris’s last words—*Look deeper*—and the way his knees had buckled mid-sentence, as if something inside him had turned against itself." | | 8 | "She glanced at Tomas—his posture tense, hand hovering near the medallion at his throat." | | 9 | "Somewhere below, a bell tolled—a sound like a funeral knell." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1013 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.028627838104639685 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006910167818361303 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.55 | | std | 7.79 | | cv | 0.575 | | sampleLengths | | 0 | 17 | | 1 | 34 | | 2 | 21 | | 3 | 25 | | 4 | 21 | | 5 | 9 | | 6 | 14 | | 7 | 11 | | 8 | 26 | | 9 | 7 | | 10 | 17 | | 11 | 19 | | 12 | 24 | | 13 | 14 | | 14 | 11 | | 15 | 15 | | 16 | 7 | | 17 | 5 | | 18 | 13 | | 19 | 19 | | 20 | 20 | | 21 | 7 | | 22 | 31 | | 23 | 7 | | 24 | 3 | | 25 | 16 | | 26 | 27 | | 27 | 17 | | 28 | 3 | | 29 | 20 | | 30 | 5 | | 31 | 29 | | 32 | 12 | | 33 | 15 | | 34 | 29 | | 35 | 4 | | 36 | 22 | | 37 | 2 | | 38 | 3 | | 39 | 8 | | 40 | 6 | | 41 | 11 | | 42 | 8 | | 43 | 9 | | 44 | 9 | | 45 | 23 | | 46 | 6 | | 47 | 5 | | 48 | 10 | | 49 | 10 |
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| 48.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.32926829268292684 | | totalSentences | 82 | | uniqueOpeners | 27 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 75 | | matches | | 0 | "Somewhere below, a bell tolled—a" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 75 | | matches | | 0 | "His Saint Christopher medallion caught" | | 1 | "She stepped inside, boots echoing" | | 2 | "Her gaze swept the room." | | 3 | "He met her eyes, calm," | | 4 | "His accent carried the warmth" | | 5 | "She’d seen this before—in the" | | 6 | "He’d lived here longer than" | | 7 | "Her fingers traced the edge" | | 8 | "She’d heard rumors of the" | | 9 | "he said quietly" | | 10 | "She thought of Morris’s last" | | 11 | "she said, though the words" | | 12 | "She’d spent eighteen years chasing" | | 13 | "she said, but her eyes" | | 14 | "She gestured to a door" | | 15 | "She glanced at Tomas—his posture" | | 16 | "He knew this place." | | 17 | "She thought of Morris, of" | | 18 | "She thought of Tomas, of" | | 19 | "His eyes held hers, pleading" |
| | ratio | 0.267 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 75 | | matches | | 0 | "Rain fell in sheets over" | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "His Saint Christopher medallion caught" | | 3 | "Harlow’s leather watch ticked against" | | 4 | "The alley behind the bar" | | 5 | "Tomas ducked into a side" | | 6 | "Harlow followed, her breath a" | | 7 | "The secret room behind the" | | 8 | "She stepped inside, boots echoing" | | 9 | "The scent hit first: burnt" | | 10 | "Shelves bowed under the weight" | | 11 | "A woman in a hooded" | | 12 | "Tomas reached for her, but" | | 13 | "The woman’s lips parted, revealing" | | 14 | "This wasn’t just a market—it" | | 15 | "Harlow said, voice low, steady" | | 16 | "Her gaze swept the room." | | 17 | "A table held a human" | | 18 | "Another shelf displayed a child’s" | | 19 | "Tomas’s scar throbbed—a reminder of" |
| | ratio | 0.88 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | | ratio | 0.013 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed through puddles as she pursued the figure ahead—Tomas Herrera, cloak dark against the wet night, moving with the loose-l…" | | 1 | "His Saint Christopher medallion caught the neon glow of The Raven’s Nest sign, a green pulse that flickered like a warning." | | 2 | "To force her to see what he’d seen in Morris’s eyes the night he died—the thing that had whispered in his ear, promising answers if he’d just look closer." | | 3 | "She thought of Morris’s last words—*Look deeper*—and the way his knees had buckled mid-sentence, as if something inside him had turned against itself." | | 4 | "She thought of Morris, of the way his eyes had gone wide and glassy the day he died, as if he’d seen something that shattered his mind." | | 5 | "She thought of Tomas, of the way he’d held her hand the night after Morris vanished, as if anchoring her to the world of the living." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 4 | | matches | | 0 | "Harlow said, voice low, steady" | | 1 | "His accent carried, but his hands were steady, calloused from years of holding lives in his palms" | | 2 | "she said, though the words felt hollow" | | 3 | "she said, but her eyes lingered on Harlow, calculating" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "Harlow’s watch screamed (scream)" |
| | dialogueSentences | 16 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |