| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.377 | | leniency | 0.755 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1874 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "slowly" | | 2 | "sharply" | | 3 | "completely" |
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| 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) | |
| 54.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1874 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "pulse" | | 1 | "stomach" | | 2 | "familiar" | | 3 | "warmth" | | 4 | "flickered" | | 5 | "traced" | | 6 | "eyebrow" | | 7 | "weight" | | 8 | "shattered" | | 9 | "aligned" | | 10 | "fluttered" | | 11 | "throbbed" | | 12 | "pounding" | | 13 | "silence" |
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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 | 146 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 146 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 179 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1868 | | ratio | 0.004 | | matches | | 0 | "Not for you" | | 1 | "Not for anyone good." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1404 | | uniqueNames | 11 | | maxNameDensity | 1.21 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 13 | | Evan | 5 | | Eva | 5 | | Calm | 1 | | Golden | 1 | | Empress | 1 | | Whitechapel | 1 | | French | 1 | | Ptolemy | 4 | | Lucien | 17 | | Blood | 1 |
| | persons | | 0 | "Rory" | | 1 | "Evan" | | 2 | "Eva" | | 3 | "Calm" | | 4 | "Ptolemy" | | 5 | "Lucien" | | 6 | "Blood" |
| | places | | | globalScore | 0.895 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 107 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like Evan but wrong—skin too pale" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.535 | | wordCount | 1868 | | matches | | 0 | "not bruising, never bruising, but unyielding" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 179 | | matches | | |
| 99.80% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 29.65 | | std | 14.8 | | cv | 0.499 | | sampleLengths | | 0 | 41 | | 1 | 14 | | 2 | 55 | | 3 | 36 | | 4 | 59 | | 5 | 24 | | 6 | 18 | | 7 | 46 | | 8 | 40 | | 9 | 59 | | 10 | 32 | | 11 | 64 | | 12 | 28 | | 13 | 30 | | 14 | 53 | | 15 | 23 | | 16 | 22 | | 17 | 26 | | 18 | 28 | | 19 | 51 | | 20 | 16 | | 21 | 47 | | 22 | 51 | | 23 | 38 | | 24 | 37 | | 25 | 27 | | 26 | 33 | | 27 | 31 | | 28 | 63 | | 29 | 29 | | 30 | 27 | | 31 | 18 | | 32 | 35 | | 33 | 26 | | 34 | 26 | | 35 | 24 | | 36 | 44 | | 37 | 17 | | 38 | 41 | | 39 | 21 | | 40 | 23 | | 41 | 12 | | 42 | 37 | | 43 | 2 | | 44 | 24 | | 45 | 27 | | 46 | 22 | | 47 | 23 | | 48 | 6 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 239 | | matches | (empty) | |
| 79.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 179 | | ratio | 0.022 | | matches | | 0 | "His mismatched eyes—one amber, one black—fixed on her with the precision of a blade." | | 1 | "Every surface wore Eva's chaos—leather-bound volumes on demonology, loose sheafs of translation paper, empty ink bottles." | | 2 | "Only Lucien remained in focus—his two-toned gaze, the faint scar that cut through his left eyebrow, the way his breath fanned across her cheek." | | 3 | "The first creature through the gap looked like Evan but wrong—skin too pale, eyes too wide, mouth stretched in a grin that showed rows of needle teeth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1416 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.03177966101694915 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.007062146892655367 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 179 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 179 | | mean | 10.44 | | std | 6.63 | | cv | 0.635 | | sampleLengths | | 0 | 11 | | 1 | 16 | | 2 | 14 | | 3 | 14 | | 4 | 24 | | 5 | 16 | | 6 | 15 | | 7 | 13 | | 8 | 2 | | 9 | 11 | | 10 | 10 | | 11 | 7 | | 12 | 2 | | 13 | 7 | | 14 | 39 | | 15 | 4 | | 16 | 4 | | 17 | 7 | | 18 | 13 | | 19 | 12 | | 20 | 6 | | 21 | 8 | | 22 | 16 | | 23 | 15 | | 24 | 7 | | 25 | 25 | | 26 | 4 | | 27 | 11 | | 28 | 6 | | 29 | 17 | | 30 | 5 | | 31 | 23 | | 32 | 8 | | 33 | 6 | | 34 | 3 | | 35 | 8 | | 36 | 7 | | 37 | 8 | | 38 | 30 | | 39 | 8 | | 40 | 26 | | 41 | 4 | | 42 | 22 | | 43 | 2 | | 44 | 5 | | 45 | 9 | | 46 | 5 | | 47 | 11 | | 48 | 20 | | 49 | 24 |
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| 49.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.329608938547486 | | totalSentences | 179 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 140 | | matches | | 0 | "Really watched, the way only" | | 1 | "Instead her pulse leapt to" | | 2 | "Only Lucien remained in focus—his" | | 3 | "Somewhere below, a bottle shattered" | | 4 | "Then the door exploded inward." |
| | ratio | 0.036 | |
| 68.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 140 | | matches | | 0 | "His mismatched eyes—one amber, one" | | 1 | "She shoved the door, but" | | 2 | "He stepped inside without invitation," | | 3 | "He studied them like they" | | 4 | "His gaze dropped to the" | | 5 | "Her pulse kicked hard." | | 6 | "She folded her arms, hiding" | | 7 | "She kept her voice level," | | 8 | "His cane stayed in his" | | 9 | "He never went anywhere unarmed." | | 10 | "He lifted a page covered" | | 11 | "Their fingers brushed." | | 12 | "She dropped the sheet like" | | 13 | "He leaned the cane against" | | 14 | "Her mouth went dry." | | 15 | "She thought of the delivery" | | 16 | "He'd pulled away when her" | | 17 | "She swallowed the taste of" | | 18 | "His voice dropped, the French" | | 19 | "He watched her." |
| | ratio | 0.379 | |
| 13.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 125 | | totalSentences | 140 | | matches | | 0 | "The door flew open before" | | 1 | "Lucien filled the frame, platinum" | | 2 | "His mismatched eyes—one amber, one" | | 3 | "She shoved the door, but" | | 4 | "He stepped inside without invitation," | | 5 | "The scent of smoke and" | | 6 | "Ptolemy shot from under the" | | 7 | "Rory backed up until the" | | 8 | "A half-empty mug of tea" | | 9 | "Lucien closed the door with" | | 10 | "He studied them like they" | | 11 | "His gaze dropped to the" | | 12 | "The memory burned fresh." | | 13 | "Her pulse kicked hard." | | 14 | "She folded her arms, hiding" | | 15 | "A ghost of a smile" | | 16 | "The flat felt smaller with" | | 17 | "Every surface wore Eva's chaos—leather—bound" | | 18 | "The curry house below pumped" | | 19 | "Rory's stomach clenched, though not" |
| | ratio | 0.893 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 140 | | matches | (empty) | | ratio | 0 | |
| 38.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 7 | | matches | | 0 | "She thought of the delivery last week, the man with too-sharp teeth who had watched her from the alley behind Golden Empress." | | 1 | "Really watched, the way only he ever had, as if he could see the quick calculations spinning behind her bright blue eyes." | | 2 | "A thin line of blood welled along the crescent mark, as if something invisible had drawn a fresh line there." | | 3 | "Lucien's free hand braced beside her head, caging her without touching." | | 4 | "Ptolemy let out a long, warbling yowl that raised the hairs on her arms." | | 5 | "He pushed Rory behind him, shoulders squared, the tailored lines of his waistcoat stretching across muscle that had seen too many fights." | | 6 | "The first creature through the gap looked like Evan but wrong—skin too pale, eyes too wide, mouth stretched in a grin that showed rows of needle teeth." |
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| 50.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 3 | | matches | | 0 | "She shoved, but his palm stopped it flat" | | 1 | "His voice dropped, the French edge sharpening the consonants" | | 2 | "he asked, voice tight with effort as he parried a clawed swipe" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 53 | | tagDensity | 0.038 | | leniency | 0.075 | | rawRatio | 0.5 | | effectiveRatio | 0.038 | |