| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "she asked softly [softly]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 65 | | tagDensity | 0.369 | | leniency | 0.738 | | rawRatio | 0.083 | | effectiveRatio | 0.062 | |
| 53.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1512 | | totalAiIsmAdverbs | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | adverb | "barely above a whisper" | | count | 1 |
| | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "precisely" | | 1 | "lazily" | | 2 | "suddenly" | | 3 | "quickly" | | 4 | "softly" | | 5 | "really" | | 6 | "very" | | 7 | "slightly" | | 8 | "barely above a whisper" | | 9 | "slowly" | | 10 | "carefully" | | 11 | "completely" |
| |
| 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) | |
| 47.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1512 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "profound" | | 1 | "silk" | | 2 | "flickered" | | 3 | "silence" | | 4 | "familiar" | | 5 | "disrupting" | | 6 | "perfect" | | 7 | "racing" | | 8 | "could feel" | | 9 | "tenderness" | | 10 | "whisper" | | 11 | "traced" | | 12 | "efficient" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1497 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 827 | | uniqueNames | 7 | | maxNameDensity | 0.48 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Ptolemy | 1 | | Moreau | 1 | | Latin | 1 | | Lucien | 4 | | Cardiff | 1 | | Evan | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1497 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 28.79 | | std | 14.71 | | cv | 0.511 | | sampleLengths | | 0 | 35 | | 1 | 35 | | 2 | 33 | | 3 | 62 | | 4 | 23 | | 5 | 27 | | 6 | 34 | | 7 | 37 | | 8 | 19 | | 9 | 28 | | 10 | 25 | | 11 | 18 | | 12 | 16 | | 13 | 12 | | 14 | 33 | | 15 | 44 | | 16 | 59 | | 17 | 25 | | 18 | 55 | | 19 | 16 | | 20 | 53 | | 21 | 9 | | 22 | 7 | | 23 | 42 | | 24 | 39 | | 25 | 1 | | 26 | 14 | | 27 | 19 | | 28 | 35 | | 29 | 29 | | 30 | 45 | | 31 | 4 | | 32 | 49 | | 33 | 49 | | 34 | 20 | | 35 | 50 | | 36 | 25 | | 37 | 23 | | 38 | 25 | | 39 | 11 | | 40 | 45 | | 41 | 18 | | 42 | 27 | | 43 | 24 | | 44 | 17 | | 45 | 22 | | 46 | 33 | | 47 | 12 | | 48 | 31 | | 49 | 32 |
| |
| 91.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 77 | | matches | | 0 | "was gone" | | 1 | "been hunted" | | 2 | "been broken" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 162 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 117 | | ratio | 0.051 | | matches | | 0 | "\"Aurora,\" he said, and his voice was exactly the same—smooth as silk, edged with something she couldn't quite name." | | 1 | "Lucien entered, moving with that particular grace she remembered—every step deliberate, every gesture controlled." | | 2 | "He turned, and for a moment something flickered across his face—vulnerability, perhaps, or uncertainty." | | 3 | "Instead, she stayed put, breathing him in—that familiar scent of expensive cologne and something darker underneath." | | 4 | "But three years of wondering, of questioning, of building a life without him—it wasn't something she could just set aside." | | 5 | "Outside, the city moved on—cars honking, people laughing, lives continuing as they always did." |
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| 86.97% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 838 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.05489260143198091 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.017899761336515514 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 12.79 | | std | 8.5 | | cv | 0.664 | | sampleLengths | | 0 | 7 | | 1 | 28 | | 2 | 18 | | 3 | 17 | | 4 | 11 | | 5 | 14 | | 6 | 8 | | 7 | 23 | | 8 | 39 | | 9 | 19 | | 10 | 4 | | 11 | 4 | | 12 | 15 | | 13 | 4 | | 14 | 4 | | 15 | 7 | | 16 | 27 | | 17 | 14 | | 18 | 20 | | 19 | 3 | | 20 | 13 | | 21 | 6 | | 22 | 14 | | 23 | 10 | | 24 | 4 | | 25 | 8 | | 26 | 4 | | 27 | 13 | | 28 | 10 | | 29 | 8 | | 30 | 4 | | 31 | 12 | | 32 | 7 | | 33 | 5 | | 34 | 16 | | 35 | 17 | | 36 | 12 | | 37 | 4 | | 38 | 12 | | 39 | 16 | | 40 | 14 | | 41 | 45 | | 42 | 15 | | 43 | 10 | | 44 | 17 | | 45 | 6 | | 46 | 32 | | 47 | 5 | | 48 | 7 | | 49 | 4 |
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| 45.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3418803418803419 | | totalSentences | 117 | | uniqueOpeners | 40 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Instead, she stepped back." | | 1 | "Instead, she stayed put, breathing" |
| | ratio | 0.027 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 75 | | matches | | 0 | "She padded across the cluttered" | | 1 | "Her heart did that stupid" | | 2 | "She counted to three, then" | | 3 | "His amber eye caught the" | | 4 | "he said, and his voice" | | 5 | "She should say no." | | 6 | "She should slam the door" | | 7 | "He was now sitting upright," | | 8 | "He surveyed the chaos of" | | 9 | "She closed the door, leaning" | | 10 | "He turned, and for a" | | 11 | "It was gone so quickly" | | 12 | "She crossed her arms." | | 13 | "He repeated the words softly," | | 14 | "Her voice cracked" | | 15 | "His jaw tightened" | | 16 | "She pushed off from the" | | 17 | "He moved then, closing the" | | 18 | "She should step back." | | 19 | "She should keep the wall" |
| | ratio | 0.693 | |
| 6.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 75 | | matches | | 0 | "The knock came at precisely" | | 1 | "Aurora knew because she'd been" | | 2 | "She padded across the cluttered" | | 3 | "The cat opened one eye," | | 4 | "Her heart did that stupid" | | 5 | "She counted to three, then" | | 6 | "Lucien Moreau stood there in" | | 7 | "His amber eye caught the" | | 8 | "he said, and his voice" | | 9 | "She should say no." | | 10 | "She should slam the door" | | 11 | "The cat, predictably, had already" | | 12 | "He was now sitting upright," | | 13 | "Lucien entered, moving with that" | | 14 | "He surveyed the chaos of" | | 15 | "She closed the door, leaning" | | 16 | "He turned, and for a" | | 17 | "It was gone so quickly" | | 18 | "The words hung between them" | | 19 | "She crossed her arms." |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "She padded across the cluttered living room on bare feet, sidestepping Ptolemy, who stretched lazily across the rug." | | 1 | "He was now sitting upright, tail wrapped around his paws, watching Lucien with the intense focus of a creature who'd seen too much to be easily impressed." | | 2 | "She searched his face, those mismatched eyes that had haunted her dreams for three years." | | 3 | "The past and present collided, and two people who had been broken apart began the slow, dangerous process of finding their way back to each other." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, and his voice was exactly the same—smooth as silk, edged with something she couldn't quite name" | | 1 | "He repeated, almost to himself" | | 2 | "she said, her voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 65 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0.2 | | effectiveRatio | 0.031 | |