| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 120 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1752 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "very" | | 1 | "precisely" | | 2 | "lightly" | | 3 | "softly" |
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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) | |
| 62.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1752 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | word | "the last thing" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "treacherous" | | 1 | "the last thing" | | 2 | "comforting" | | 3 | "flicked" | | 4 | "silence" | | 5 | "stomach" | | 6 | "unsettled" | | 7 | "flicker" | | 8 | "tension" | | 9 | "warmth" | | 10 | "pulse" |
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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 | 142 | | matches | (empty) | |
| 92.56% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 142 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 247 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1749 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 29 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1087 | | uniqueNames | 5 | | maxNameDensity | 1.38 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 15 | | Moreau | 1 | | Rory | 15 | | Silas | 1 | | Three | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.81 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 1 | | matches | | |
| 85.65% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.144 | | wordCount | 1749 | | matches | | 0 | "not to stop it, but to show her the blood on his cuff" | | 1 | "not hard, but enough to stop her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 247 | | matches | | 0 | "thought that kiss" | | 1 | "force that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 153 | | mean | 11.43 | | std | 11.85 | | cv | 1.037 | | sampleLengths | | 0 | 15 | | 1 | 55 | | 2 | 10 | | 3 | 6 | | 4 | 6 | | 5 | 19 | | 6 | 24 | | 7 | 5 | | 8 | 8 | | 9 | 16 | | 10 | 8 | | 11 | 32 | | 12 | 7 | | 13 | 4 | | 14 | 1 | | 15 | 4 | | 16 | 2 | | 17 | 20 | | 18 | 17 | | 19 | 6 | | 20 | 58 | | 21 | 13 | | 22 | 1 | | 23 | 1 | | 24 | 4 | | 25 | 2 | | 26 | 17 | | 27 | 8 | | 28 | 68 | | 29 | 14 | | 30 | 12 | | 31 | 3 | | 32 | 2 | | 33 | 6 | | 34 | 17 | | 35 | 11 | | 36 | 4 | | 37 | 3 | | 38 | 5 | | 39 | 3 | | 40 | 7 | | 41 | 17 | | 42 | 3 | | 43 | 6 | | 44 | 5 | | 45 | 21 | | 46 | 24 | | 47 | 21 | | 48 | 5 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 142 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 204 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 247 | | ratio | 0.012 | | matches | | 0 | "Something in his voice—too low, too controlled—made her look past him." | | 1 | "The closeness hit her all at once: his clean, rain-cold scent; the faint tension in his jaw; the warmth of his arm under the fine charcoal cloth." | | 2 | "Lucien caught her wrist—not hard, but enough to stop her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 663 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03469079939668175 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004524886877828055 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 247 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 247 | | mean | 7.08 | | std | 4.83 | | cv | 0.682 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 26 | | 3 | 9 | | 4 | 10 | | 5 | 10 | | 6 | 6 | | 7 | 6 | | 8 | 18 | | 9 | 1 | | 10 | 15 | | 11 | 9 | | 12 | 5 | | 13 | 3 | | 14 | 5 | | 15 | 9 | | 16 | 7 | | 17 | 8 | | 18 | 11 | | 19 | 4 | | 20 | 17 | | 21 | 5 | | 22 | 2 | | 23 | 4 | | 24 | 1 | | 25 | 4 | | 26 | 2 | | 27 | 9 | | 28 | 2 | | 29 | 9 | | 30 | 7 | | 31 | 10 | | 32 | 6 | | 33 | 8 | | 34 | 1 | | 35 | 1 | | 36 | 1 | | 37 | 11 | | 38 | 17 | | 39 | 8 | | 40 | 11 | | 41 | 10 | | 42 | 3 | | 43 | 1 | | 44 | 1 | | 45 | 4 | | 46 | 2 | | 47 | 10 | | 48 | 7 | | 49 | 3 |
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| 47.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.29959514170040485 | | totalSentences | 247 | | uniqueOpeners | 74 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 125 | | matches | | 0 | "Then she remembered the last" | | 1 | "Just the suggestion of a" | | 2 | "Even injured, he did it" | | 3 | "Just not enough to keep" | | 4 | "Instead, she met his mismatched" | | 5 | "Only the man who’d left," |
| | ratio | 0.048 | |
| 50.40% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 125 | | matches | | 0 | "He looked exactly as he" | | 1 | "His amber eye caught the" | | 2 | "You have no place in" | | 3 | "She started to shut the" | | 4 | "His hand came up, not" | | 5 | "She pushed the door another" | | 6 | "Her fingers tightened on the" | | 7 | "She shut the door and" | | 8 | "He had always made small" | | 9 | "She kept her gaze on" | | 10 | "He paused, as if surprised" | | 11 | "She hated him for making" | | 12 | "She pushed it back, then" | | 13 | "He lowered himself into a" | | 14 | "She gave a short laugh." | | 15 | "His black eye flicked to" | | 16 | "She pulled a packet of" | | 17 | "Her stomach tightened." | | 18 | "His face hardened, but he" | | 19 | "He looked down at his" |
| | ratio | 0.424 | |
| 40.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 125 | | matches | | 0 | "The door opened, and Lucien" | | 1 | "He looked exactly as he" | | 2 | "His amber eye caught the" | | 3 | "The other, black as a" | | 4 | "You have no place in" | | 5 | "She started to shut the" | | 6 | "His hand came up, not" | | 7 | "She pushed the door another" | | 8 | "The stairs creaked below them." | | 9 | "Lucien’s expression sharpened." | | 10 | "Her fingers tightened on the" | | 11 | "Something in his voice—too low," | | 12 | "The landing was empty." | | 13 | "Rory glanced back at Lucien." | | 14 | "A shape shifted at the" | | 15 | "Rory stepped back and pulled" | | 16 | "She shut the door and" | | 17 | "The routine steadied her hands," | | 18 | "Lucien stood in the narrow" | | 19 | "He had always made small" |
| | ratio | 0.84 | |
| 40.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 125 | | matches | | 0 | "Now it was crowded with" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 120 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.1 | | effectiveRatio | 0.017 | |