| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 42 | | tagDensity | 0.524 | | leniency | 1 | | rawRatio | 0.045 | | effectiveRatio | 0.045 | |
| 96.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1300 | | 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) | |
| 46.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1300 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "silence" | | 1 | "chaotic" | | 2 | "sanctuary" | | 3 | "reverberated" | | 4 | "gleaming" | | 5 | "echoed" | | 6 | "warmth" | | 7 | "weight" | | 8 | "tension" | | 9 | "churned" | | 10 | "intensity" | | 11 | "reminder" | | 12 | "facade" |
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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 | 92 | | matches | (empty) | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | 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 | 2 | | markdownWords | 6 | | totalWords | 1301 | | ratio | 0.005 | | matches | | 0 | "Rory." | | 1 | "I told you to run." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1029 | | uniqueNames | 8 | | maxNameDensity | 1.17 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Brick | 1 | | Lane | 1 | | Lucien | 12 | | Moreau | 1 | | London | 1 | | French | 1 | | Eva | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Eva" |
| | places | | | globalScore | 0.917 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 46.27% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.537 | | wordCount | 1301 | | matches | | 0 | "not the bar, not the flat, but for her" | | 1 | "not the flat, but for her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.57 | | std | 22.22 | | cv | 0.751 | | sampleLengths | | 0 | 82 | | 1 | 96 | | 2 | 42 | | 3 | 12 | | 4 | 62 | | 5 | 21 | | 6 | 65 | | 7 | 32 | | 8 | 12 | | 9 | 38 | | 10 | 38 | | 11 | 34 | | 12 | 3 | | 13 | 21 | | 14 | 9 | | 15 | 45 | | 16 | 5 | | 17 | 12 | | 18 | 19 | | 19 | 27 | | 20 | 42 | | 21 | 21 | | 22 | 14 | | 23 | 62 | | 24 | 38 | | 25 | 28 | | 26 | 37 | | 27 | 10 | | 28 | 8 | | 29 | 56 | | 30 | 15 | | 31 | 17 | | 32 | 15 | | 33 | 74 | | 34 | 3 | | 35 | 3 | | 36 | 21 | | 37 | 23 | | 38 | 40 | | 39 | 7 | | 40 | 10 | | 41 | 45 | | 42 | 19 | | 43 | 18 |
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| 93.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 92 | | matches | | 0 | "was buried" | | 1 | "was dressed" | | 2 | "was committed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 187 | | matches | | 0 | "was writing" | | 1 | "was coming" |
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| 91.84% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 112 | | ratio | 0.018 | | matches | | 0 | "His left was black, like a void; his right was amber, burning with a warmth that felt out of place." | | 1 | "The tension wasn't just physical; it was old ground, churned over time." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1034 | | adjectiveStacks | 2 | | stackExamples | | 0 | "cramped, book-choked silence" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 30 | | adverbRatio | 0.029013539651837523 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010638297872340425 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 11.62 | | std | 7.53 | | cv | 0.649 | | sampleLengths | | 0 | 28 | | 1 | 25 | | 2 | 29 | | 3 | 23 | | 4 | 2 | | 5 | 19 | | 6 | 13 | | 7 | 9 | | 8 | 22 | | 9 | 8 | | 10 | 5 | | 11 | 16 | | 12 | 21 | | 13 | 7 | | 14 | 5 | | 15 | 19 | | 16 | 15 | | 17 | 18 | | 18 | 10 | | 19 | 4 | | 20 | 17 | | 21 | 15 | | 22 | 21 | | 23 | 13 | | 24 | 7 | | 25 | 9 | | 26 | 17 | | 27 | 15 | | 28 | 5 | | 29 | 4 | | 30 | 3 | | 31 | 16 | | 32 | 15 | | 33 | 7 | | 34 | 17 | | 35 | 11 | | 36 | 10 | | 37 | 10 | | 38 | 20 | | 39 | 4 | | 40 | 3 | | 41 | 17 | | 42 | 4 | | 43 | 4 | | 44 | 5 | | 45 | 7 | | 46 | 6 | | 47 | 18 | | 48 | 14 | | 49 | 5 |
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| 37.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.24107142857142858 | | totalSentences | 112 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 79 | | matches | | 0 | "She was buried in the" | | 1 | "Her hand hovered over the" | | 2 | "Her heart hammered against her" | | 3 | "It would take the bully" | | 4 | "He knew enough to bypass" | | 5 | "She set the scroll down." | | 6 | "Her left wrist flexed instinctively," | | 7 | "*I told you to run.*" | | 8 | "She killed the geometric light" | | 9 | "She should have cleaned up" | | 10 | "She had intended to tell" | | 11 | "He was dressed as always" | | 12 | "His slicked-back platinum hair caught" | | 13 | "He didn't look angry, which" | | 14 | "He looked disappointed, and something" | | 15 | "He shifted the ivory handle" | | 16 | "It concealed a thin blade" | | 17 | "Her voice didn't shake." | | 18 | "It should have." | | 19 | "he said, voice low, smooth," |
| | ratio | 0.62 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 79 | | matches | | 0 | "The key turned with a" | | 1 | "She was buried in the" | | 2 | "Ptolemy, a tabby cat who" | | 3 | "Her hand hovered over the" | | 4 | "Her heart hammered against her" | | 5 | "The door wasn't locked from" | | 6 | "It would take the bully" | | 7 | "He knew enough to bypass" | | 8 | "She set the scroll down." | | 9 | "Her left wrist flexed instinctively," | | 10 | "The small crescent-shaped scar from" | | 11 | "*Rory.* A voice whispered in" | | 12 | "*I told you to run.*" | | 13 | "She killed the geometric light" | | 14 | "The flat was a mess" | | 15 | "She should have cleaned up" | | 16 | "She had intended to tell" | | 17 | "The door clicked again." | | 18 | "This time, the sound reverberated" | | 19 | "Lucien Moreau stood in the" |
| | ratio | 0.987 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "The key turned with a harsh click that seemed too loud for the cramped, book-choked silence of the flat above the curry house, but Rory barely heard it." | | 1 | "He just stood there, the blade hidden in his cane serving as a reminder that he was dangerous, that he was committed to her safety, that he was a killer who hov…" | | 2 | "Lucien smiled, a small, genuine thing that cracked his vampire-defined facade." |
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| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "Lucien corrected, his eyes shifting" | | 1 | "Rory said, and the words landed heavy, like stones on a riverbed" | | 2 | "she said, her voice trembling slightly" |
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| 30.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 5 | | fancyTags | | 0 | "Lucien corrected (correct)" | | 1 | "she lied (lie)" | | 2 | "she whispered (whisper)" | | 3 | "he added (add)" | | 4 | "Rory breathed (breathe)" |
| | dialogueSentences | 42 | | tagDensity | 0.405 | | leniency | 0.81 | | rawRatio | 0.294 | | effectiveRatio | 0.238 | |