| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stepped aside [aside]" |
| | dialogueSentences | 54 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0.05 | | effectiveRatio | 0.037 | |
| 76.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1079 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "carefully" | | 1 | "nervously" | | 2 | "completely" | | 3 | "slightly" |
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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) | |
| 2.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1079 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "echoed" | | 1 | "lilt" | | 2 | "predator" | | 3 | "ensure" | | 4 | "reminder" | | 5 | "flicker" | | 6 | "comfortable" | | 7 | "constructed" | | 8 | "familiar" | | 9 | "silence" | | 10 | "eyebrow" | | 11 | "unwavering" | | 12 | "intriguing" | | 13 | "perfect" | | 14 | "absolutely" | | 15 | "velvet" | | 16 | "silk" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1079 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 754 | | uniqueNames | 8 | | maxNameDensity | 0.93 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Yu-Fei | 1 | | French | 1 | | Ptolemy | 1 | | Eva | 1 | | Lucien | 7 | | East | 1 | | End | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Yu-Fei" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | 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 | 1079 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 22.48 | | std | 12.35 | | cv | 0.549 | | sampleLengths | | 0 | 4 | | 1 | 64 | | 2 | 49 | | 3 | 27 | | 4 | 21 | | 5 | 30 | | 6 | 1 | | 7 | 14 | | 8 | 33 | | 9 | 17 | | 10 | 45 | | 11 | 21 | | 12 | 23 | | 13 | 13 | | 14 | 27 | | 15 | 17 | | 16 | 14 | | 17 | 36 | | 18 | 27 | | 19 | 17 | | 20 | 40 | | 21 | 26 | | 22 | 8 | | 23 | 22 | | 24 | 22 | | 25 | 18 | | 26 | 18 | | 27 | 20 | | 28 | 21 | | 29 | 18 | | 30 | 14 | | 31 | 16 | | 32 | 15 | | 33 | 20 | | 34 | 2 | | 35 | 26 | | 36 | 40 | | 37 | 18 | | 38 | 14 | | 39 | 23 | | 40 | 8 | | 41 | 28 | | 42 | 37 | | 43 | 22 | | 44 | 9 | | 45 | 43 | | 46 | 9 | | 47 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 52.94% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 136 | | matches | | 0 | "was letting" | | 1 | "were starting" | | 2 | "was tightening" |
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| 43.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 115 | | ratio | 0.035 | | matches | | 0 | "Lucien Moreau stood on my doorstep, a charcoal suit molded to his lean frame, platinum hair slicked back, those unsettling eyes – one amber, one black – fixed on me." | | 1 | "A flicker of something – annoyance?" | | 2 | "– crossed his face." | | 3 | "He wasn’t just extending a hand; he was tightening his grip." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 281 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.028469750889679714 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.010676156583629894 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 9.38 | | std | 5.29 | | cv | 0.564 | | sampleLengths | | 0 | 4 | | 1 | 17 | | 2 | 30 | | 3 | 17 | | 4 | 12 | | 5 | 5 | | 6 | 16 | | 7 | 12 | | 8 | 4 | | 9 | 11 | | 10 | 12 | | 11 | 4 | | 12 | 16 | | 13 | 5 | | 14 | 23 | | 15 | 7 | | 16 | 1 | | 17 | 10 | | 18 | 4 | | 19 | 12 | | 20 | 9 | | 21 | 11 | | 22 | 1 | | 23 | 11 | | 24 | 6 | | 25 | 4 | | 26 | 25 | | 27 | 13 | | 28 | 3 | | 29 | 3 | | 30 | 13 | | 31 | 5 | | 32 | 17 | | 33 | 6 | | 34 | 6 | | 35 | 4 | | 36 | 3 | | 37 | 18 | | 38 | 9 | | 39 | 13 | | 40 | 4 | | 41 | 9 | | 42 | 5 | | 43 | 3 | | 44 | 9 | | 45 | 13 | | 46 | 11 | | 47 | 12 | | 48 | 15 | | 49 | 6 |
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| 76.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.48695652173913045 | | totalSentences | 115 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 74 | | matches | | 0 | "Especially not for him." | | 1 | "Instead, he remained standing, an" | | 2 | "Just when things were starting" |
| | ratio | 0.041 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 74 | | matches | | 0 | "He hadn't aged a day," | | 1 | "I'd gotten used to it." | | 2 | "It wasn’t a welcoming environment," | | 3 | "he echoed, the French lilt" | | 4 | "I leaned against the doorframe," | | 5 | "He didn’t immediately answer, his" | | 6 | "I confirmed, stepping aside to" | | 7 | "He moved past me, his" | | 8 | "He gestured towards the boxes" | | 9 | "I followed his gaze." | | 10 | "I turned and headed towards" | | 11 | "He didn’t sit." | | 12 | "I walked to the small" | | 13 | "He watched me, his eyes" | | 14 | "I poured the tea, the" | | 15 | "He didn’t flinch." | | 16 | "He moved closer, invading my" | | 17 | "I raised an eyebrow" | | 18 | "He chuckled, a low, dangerous" | | 19 | "I shuddered, remembering the icy" |
| | ratio | 0.554 | |
| 20.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 74 | | matches | | 0 | "The words escaped before I" | | 1 | "Lucien Moreau stood on my" | | 2 | "He hadn't aged a day," | | 3 | "The flat smelled of damp" | | 4 | "I'd gotten used to it." | | 5 | "The faint scent of cardamom," | | 6 | "It wasn’t a welcoming environment," | | 7 | "he echoed, the French lilt" | | 8 | "A slow smile stretched across" | | 9 | "I leaned against the doorframe," | | 10 | "He didn’t immediately answer, his" | | 11 | "I confirmed, stepping aside to" | | 12 | "He moved past me, his" | | 13 | "A simple ivory handle disguised" | | 14 | "A reminder of the man" | | 15 | "He gestured towards the boxes" | | 16 | "I followed his gaze." | | 17 | "I turned and headed towards" | | 18 | "Ptolemy, Eva’s tabby cat, regarded" | | 19 | "He didn’t sit." |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "His smile widened, revealing a flash of teeth that were a little too sharp." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "he echoed, the French lilt still evident in his voice" | | 1 | "I walked, the familiar ritual grounding me" | | 2 | "He leaned, his voice dropping to a murmur" | | 3 | "I said, my voice sharper than intended" | | 4 | "he conceded, his gaze unwavering" | | 5 | "Lucien remarked, his eyes twinkling" | | 6 | "he asked, his voice smooth as silk" |
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| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "I confirmed (confirm)" | | 1 | "he conceded (concede)" | | 2 | "I demanded (demand)" | | 3 | "I repeated (repeat)" |
| | dialogueSentences | 54 | | tagDensity | 0.13 | | leniency | 0.259 | | rawRatio | 0.571 | | effectiveRatio | 0.148 | |