| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory admitted finally [finally]" |
| | dialogueSentences | 39 | | tagDensity | 0.436 | | leniency | 0.872 | | rawRatio | 0.059 | | effectiveRatio | 0.051 | |
| 94.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 933 | | 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) | |
| 8.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 933 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "shattered" | | 1 | "silence" | | 2 | "pulse" | | 3 | "intensity" | | 4 | "silk" | | 5 | "tinged" | | 6 | "weight" | | 7 | "glint" | | 8 | "glinting" | | 9 | "reminder" | | 10 | "quickened" | | 11 | "etched" | | 12 | "familiar" | | 13 | "whisper" |
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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 | 48 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 933 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 689 | | uniqueNames | 11 | | maxNameDensity | 0.73 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Ptolemy | 3 | | Rory | 5 | | French | 1 | | Lucien | 4 | | Moreau | 1 | | Heat | 1 | | London | 1 | | Suspicion | 1 | | Cardiff | 1 | | Skepticism | 1 | | Chinatown | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Suspicion" | | 5 | "Skepticism" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Chinatown" |
| | globalScore | 1 | | windowScore | 1 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "as though expecting to find someone lurking in the shadows" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 933 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 92.07% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 30.1 | | std | 14.21 | | cv | 0.472 | | sampleLengths | | 0 | 54 | | 1 | 64 | | 2 | 27 | | 3 | 22 | | 4 | 33 | | 5 | 45 | | 6 | 30 | | 7 | 22 | | 8 | 13 | | 9 | 8 | | 10 | 45 | | 11 | 22 | | 12 | 29 | | 13 | 12 | | 14 | 18 | | 15 | 33 | | 16 | 35 | | 17 | 37 | | 18 | 23 | | 19 | 49 | | 20 | 41 | | 21 | 34 | | 22 | 26 | | 23 | 23 | | 24 | 33 | | 25 | 30 | | 26 | 23 | | 27 | 1 | | 28 | 17 | | 29 | 59 | | 30 | 25 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 48 | | matches | | |
| 70.55% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 103 | | matches | | 0 | "was agreeing" | | 1 | "was too tempting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 69 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 695 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 23 | | adverbRatio | 0.033093525179856115 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011510791366906475 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 13.52 | | std | 7.37 | | cv | 0.545 | | sampleLengths | | 0 | 10 | | 1 | 8 | | 2 | 20 | | 3 | 16 | | 4 | 17 | | 5 | 19 | | 6 | 10 | | 7 | 18 | | 8 | 12 | | 9 | 10 | | 10 | 5 | | 11 | 22 | | 12 | 17 | | 13 | 16 | | 14 | 24 | | 15 | 20 | | 16 | 1 | | 17 | 24 | | 18 | 6 | | 19 | 17 | | 20 | 5 | | 21 | 13 | | 22 | 8 | | 23 | 14 | | 24 | 22 | | 25 | 9 | | 26 | 15 | | 27 | 7 | | 28 | 25 | | 29 | 4 | | 30 | 8 | | 31 | 4 | | 32 | 15 | | 33 | 3 | | 34 | 8 | | 35 | 20 | | 36 | 5 | | 37 | 28 | | 38 | 7 | | 39 | 17 | | 40 | 20 | | 41 | 19 | | 42 | 4 | | 43 | 15 | | 44 | 18 | | 45 | 16 | | 46 | 20 | | 47 | 14 | | 48 | 7 | | 49 | 27 |
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| 96.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5942028985507246 | | totalSentences | 69 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 66.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 47 | | matches | | 0 | "His voice was smoke and" | | 1 | "He arched an immaculately shaped" | | 2 | "His voice was soft, contradicted" | | 3 | "She bit back a snort." | | 4 | "She met his gaze steadily," | | 5 | "He spread his hands wide," | | 6 | "Her laugh cracked between them" | | 7 | "He smirked, eyes alight with" | | 8 | "She shifted her weight, acutely" | | 9 | "He said it simply, as" | | 10 | "He glanced over his shoulder," | | 11 | "She hesitated, hating herself for" | | 12 | "She eyed the stacks of" | | 13 | "He sank onto the worn" | | 14 | "He leaned forward, forearms braced" | | 15 | "His lips quirked, as though" | | 16 | "He extended his hand, palm" | | 17 | "His fingers closed around hers," |
| | ratio | 0.383 | |
| 45.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 47 | | matches | | 0 | "The sharp rap of knuckles" | | 1 | "Aurora froze, hand hovering over" | | 2 | "The tabby cat blinked up" | | 3 | "The words died on her" | | 4 | "His voice was smoke and" | | 5 | "Lucien Moreau, dashboard light and" | | 6 | "Rory's grip tightened on the" | | 7 | "He arched an immaculately shaped" | | 8 | "The flat words hung between" | | 9 | "Ptolemy twined around her ankles," | | 10 | "Lucien quoted with a wry" | | 11 | "Rory heard the bitter edge" | | 12 | "His voice was soft, contradicted" | | 13 | "She bit back a snort." | | 14 | "She met his gaze steadily," | | 15 | "Strands of slicked-back platinum blond" | | 16 | "Rory admitted finally, shoulders slumping" | | 17 | "He spread his hands wide," | | 18 | "Her laugh cracked between them" | | 19 | "He smirked, eyes alight with" |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 4 | | matches | | 0 | "Ptolemy twined around her ankles, his tail brushing against her calf as if in silent comfort." | | 1 | "She hesitated, hating herself for the wariness that tightened her muscles and quickened her breath." | | 2 | "Hatred that had nothing to do with Lucien and everything to do with a brown-eyed boy from Cardiff." | | 3 | "Books and scrolls scattered across every available surface, as though a hurricane had unleashed its fury within the cramped space." |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "He arched, the corners of his mouth tilting upward" | | 1 | "Rory admitted finally, shoulders slumping as the fight bled out of her" | | 2 | "He said, as though it was written in the stars, inevitable as sunrise cresting the London rooftops" | | 3 | "He glanced, as though expecting to find someone lurking in the shadows" |
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| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien quoted (quote)" | | 1 | "Rory admitted finally (admit)" |
| | dialogueSentences | 39 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0.667 | | effectiveRatio | 0.103 | |