| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory stepped back [back]" | | 1 | "Lucien stepped close [close]" |
| | dialogueSentences | 74 | | tagDensity | 0.365 | | leniency | 0.73 | | rawRatio | 0.074 | | effectiveRatio | 0.054 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1358 | | 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) | |
| 11.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1358 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "flicker" | | 1 | "silk" | | 2 | "pulse" | | 3 | "scanning" | | 4 | "perfect" | | 5 | "stomach" | | 6 | "tracing" | | 7 | "silence" | | 8 | "warmth" | | 9 | "shattered" | | 10 | "velvet" | | 11 | "footsteps" | | 12 | "thundered" | | 13 | "pounding" | | 14 | "glinting" | | 15 | "charged" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 211 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 211 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 255 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 7 | | totalWords | 1358 | | ratio | 0.005 | | matches | | 0 | "Demon pacts. Avaros bindings." | | 1 | "something" | | 2 | "Le Noire" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 97 | | wordCount | 1078 | | uniqueNames | 29 | | maxNameDensity | 1.67 | | worstName | "Lucien" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Evan" | | discoveredNames | | Ptolemy | 10 | | Marseille | 1 | | Heterochromia | 1 | | Soho | 1 | | Evan | 11 | | Lucien | 18 | | Eva | 4 | | Rory | 14 | | Grease | 1 | | Cardiff | 1 | | Unfinished | 1 | | Muscle | 1 | | Sandalwood | 1 | | Fingers | 2 | | Faint | 1 | | Rage | 2 | | Heat | 3 | | Empress | 1 | | Hurt | 2 | | Demon | 3 | | Brick | 2 | | Lane | 2 | | Buckle | 1 | | Amber | 2 | | Mention | 1 | | Stalker | 1 | | Black | 3 | | Voice | 3 | | Blade | 3 |
| | persons | | 0 | "Ptolemy" | | 1 | "Heterochromia" | | 2 | "Evan" | | 3 | "Lucien" | | 4 | "Eva" | | 5 | "Rory" | | 6 | "Grease" | | 7 | "Muscle" | | 8 | "Sandalwood" | | 9 | "Fingers" | | 10 | "Faint" | | 11 | "Rage" | | 12 | "Heat" | | 13 | "Hurt" | | 14 | "Buckle" | | 15 | "Amber" | | 16 | "Mention" | | 17 | "Voice" | | 18 | "Blade" |
| | places | | 0 | "Marseille" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "Brick" | | 4 | "Lane" |
| | globalScore | 0.665 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1358 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 255 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 79 | | mean | 17.19 | | std | 13.1 | | cv | 0.762 | | sampleLengths | | 0 | 14 | | 1 | 44 | | 2 | 17 | | 3 | 38 | | 4 | 14 | | 5 | 36 | | 6 | 68 | | 7 | 15 | | 8 | 50 | | 9 | 16 | | 10 | 29 | | 11 | 31 | | 12 | 21 | | 13 | 52 | | 14 | 17 | | 15 | 26 | | 16 | 35 | | 17 | 13 | | 18 | 21 | | 19 | 9 | | 20 | 22 | | 21 | 51 | | 22 | 12 | | 23 | 31 | | 24 | 40 | | 25 | 7 | | 26 | 19 | | 27 | 6 | | 28 | 12 | | 29 | 12 | | 30 | 21 | | 31 | 38 | | 32 | 9 | | 33 | 19 | | 34 | 14 | | 35 | 10 | | 36 | 36 | | 37 | 31 | | 38 | 6 | | 39 | 7 | | 40 | 19 | | 41 | 10 | | 42 | 17 | | 43 | 6 | | 44 | 7 | | 45 | 15 | | 46 | 4 | | 47 | 6 | | 48 | 19 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 211 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 258 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 2 | | flaggedSentences | 15 | | totalSentences | 255 | | ratio | 0.059 | | matches | | 0 | "One amber eye caught the flicker from Ptolemy's tail-lamp; the black one swallowed it whole." | | 1 | "Copper tang from the curry house below seeped up the stairs, mixing with his cologne – sandalwood and brimstone." | | 2 | "Rory's scar itched under her sleeve – that old crescent moon from the swing-set fall." | | 3 | "Then Evan's texts started – her ex, sniffing too close." | | 4 | "Evan – fists like hammers, apologies like syrup." | | 5 | "A scroll toppled; he caught it mid-fall, glanced, returned it." | | 6 | "Faint mark – her teeth, jawline." | | 7 | "One glance – heterochromia snaring – and she'd lingered." | | 8 | "Hands roamed – her waist, hips, bunching tee." | | 9 | "Hurt twisted pleasure – his abandonment, Evan's bruises – all fuel." | | 10 | "Three deadbolts rattled – no, the door." | | 11 | "Pain lanced wrist – old scar split afresh." | | 12 | "She drove knife home – shoulder." | | 13 | "\"No!\" Rory stabbed true – Evan's gut." | | 14 | "Shadows shifted hall – more footsteps?" |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1076 | | adjectiveStacks | 1 | | stackExamples | | 0 | "free blade-thin steel." |
| | adverbCount | 21 | | adverbRatio | 0.019516728624535316 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009293680297397769 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 255 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 255 | | mean | 5.33 | | std | 3.87 | | cv | 0.728 | | sampleLengths | | 0 | 6 | | 1 | 8 | | 2 | 15 | | 3 | 5 | | 4 | 9 | | 5 | 15 | | 6 | 11 | | 7 | 6 | | 8 | 10 | | 9 | 9 | | 10 | 19 | | 11 | 10 | | 12 | 4 | | 13 | 5 | | 14 | 11 | | 15 | 14 | | 16 | 4 | | 17 | 2 | | 18 | 2 | | 19 | 15 | | 20 | 5 | | 21 | 1 | | 22 | 4 | | 23 | 18 | | 24 | 2 | | 25 | 8 | | 26 | 3 | | 27 | 10 | | 28 | 6 | | 29 | 9 | | 30 | 8 | | 31 | 24 | | 32 | 11 | | 33 | 2 | | 34 | 5 | | 35 | 14 | | 36 | 2 | | 37 | 14 | | 38 | 10 | | 39 | 5 | | 40 | 4 | | 41 | 14 | | 42 | 13 | | 43 | 3 | | 44 | 8 | | 45 | 5 | | 46 | 5 | | 47 | 9 | | 48 | 5 | | 49 | 5 |
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| 88.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5333333333333333 | | totalSentences | 255 | | uniqueOpeners | 136 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 164 | | matches | | 0 | "Then Evan's texts started –" | | 1 | "Instead, she snatched a glass" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 164 | | matches | | 0 | "His voice rolled low, laced" | | 1 | "She gripped the door edge," | | 2 | "He leaned on the cane." | | 3 | "She slammed the door shut?" | | 4 | "Her arm wouldn't move." | | 5 | "His fangs grazing her throat" | | 6 | "She swung the door wide" | | 7 | "He sidestepped a stack threatening" | | 8 | "He perched on the arm" | | 9 | "He unbuttoned his jacket, revealing" | | 10 | "Her stomach knotted." | | 11 | "She'd fled Cardiff for this." | | 12 | "His fingers brushed her wrist," | | 13 | "He cupped her jaw, thumb" | | 14 | "Her deliveries dodging shadows, wondering" | | 15 | "She shoved his chest" | | 16 | "His grip tightened, pulling her" | | 17 | "She twisted free, breath ragged." | | 18 | "They sprang back perfect." | | 19 | "He paced the cramped room," |
| | ratio | 0.238 | |
| 27.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 142 | | totalSentences | 164 | | matches | | 0 | "Rory twisted the final deadbolt" | | 1 | "The heavy door groaned inward" | | 2 | "Lucien filled the frame, his" | | 3 | "Platinum hair gleamed slicked back." | | 4 | "That ivory-handled cane tapped once" | | 5 | "His voice rolled low, laced" | | 6 | "She gripped the door edge," | | 7 | "The tabby cat slunk between" | | 8 | "Copper tang from the curry" | | 9 | "Rory stepped back, blocking the" | | 10 | "He leaned on the cane." | | 11 | "The blade inside hummed faint," | | 12 | "A half-smile ghosted his lips" | | 13 | "Heterochromia made it devilish." | | 14 | "Rory's scar itched under her" | | 15 | "She slammed the door shut?" | | 16 | "Her arm wouldn't move." | | 17 | "Heat crawled up her neck" | | 18 | "His fangs grazing her throat" | | 19 | "She swung the door wide" |
| | ratio | 0.866 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 164 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 2 | | matches | | 0 | "Alley heat flooded back: his mouth claiming hers, body pinning her to brick." | | 1 | "Her deliveries dodging shadows, wondering if demons ghosted lovers same as mortals." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 3 | | matches | | 0 | "Lucien stepped close, breath ghosting her ear" | | 1 | "His hand settled, possessive" | | 2 | "She hiked, heels digging" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Forehead pressed (press)" |
| | dialogueSentences | 74 | | tagDensity | 0.014 | | leniency | 0.027 | | rawRatio | 1 | | effectiveRatio | 0.027 | |