| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "Lucien's voice came again [again]" |
| | dialogueSentences | 33 | | tagDensity | 0.424 | | leniency | 0.848 | | rawRatio | 0.071 | | effectiveRatio | 0.061 | |
| 67.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1093 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | adverb | "ever so slightly" | | count | 1 |
| | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "carefully" | | 1 | "ever so slightly" | | 2 | "softly" | | 3 | "really" | | 4 | "barely above a whisper" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1093 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "methodical" | | 1 | "footsteps" | | 2 | "imposing" | | 3 | "measured" | | 4 | "sturdy" | | 5 | "fleeting" | | 6 | "reminder" | | 7 | "echoing" | | 8 | "scanned" | | 9 | "traced" | | 10 | "fascinating" | | 11 | "warmth" | | 12 | "chill" | | 13 | "normalcy" | | 14 | "dancing" | | 15 | "silence" | | 16 | "unreadable" | | 17 | "dance" | | 18 | "whisper" | | 19 | "could feel" | | 20 | "unwavering" | | 21 | "facade" | | 22 | "unspoken" | | 23 | "oppressive" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1087 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 853 | | uniqueNames | 7 | | maxNameDensity | 1.88 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 10 | | Lucien | 16 | | Moreau | 1 | | Ptolemy | 4 | | Aurora | 15 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Aurora" |
| | places | | | globalScore | 0.562 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 4 | | matches | | 0 | "as if greeting an old friend" | | 1 | "not quite a smile" | | 2 | "seemed insignificant compared to scars left on her heart" | | 3 | "inued outside, seemingly untouched by the tu" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.92 | | wordCount | 1087 | | matches | | 0 | "not Eva but Lucien Moreau, his imposing figure filling the threshold, dr" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 27.87 | | std | 13.99 | | cv | 0.502 | | sampleLengths | | 0 | 38 | | 1 | 84 | | 2 | 11 | | 3 | 40 | | 4 | 16 | | 5 | 37 | | 6 | 29 | | 7 | 41 | | 8 | 28 | | 9 | 18 | | 10 | 18 | | 11 | 35 | | 12 | 21 | | 13 | 25 | | 14 | 27 | | 15 | 7 | | 16 | 1 | | 17 | 29 | | 18 | 30 | | 19 | 28 | | 20 | 18 | | 21 | 35 | | 22 | 26 | | 23 | 11 | | 24 | 33 | | 25 | 20 | | 26 | 29 | | 27 | 23 | | 28 | 28 | | 29 | 18 | | 30 | 44 | | 31 | 25 | | 32 | 20 | | 33 | 39 | | 34 | 26 | | 35 | 12 | | 36 | 35 | | 37 | 28 | | 38 | 54 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 154 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 95 | | ratio | 0.011 | | matches | | 0 | "Lucien moved behind her; she could feel his presence, like a shadow, close and unwavering." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 858 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.039627039627039624 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.016317016317016316 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 11.44 | | std | 5.97 | | cv | 0.522 | | sampleLengths | | 0 | 18 | | 1 | 2 | | 2 | 3 | | 3 | 13 | | 4 | 2 | | 5 | 19 | | 6 | 9 | | 7 | 25 | | 8 | 18 | | 9 | 13 | | 10 | 11 | | 11 | 22 | | 12 | 11 | | 13 | 7 | | 14 | 16 | | 15 | 5 | | 16 | 20 | | 17 | 12 | | 18 | 11 | | 19 | 18 | | 20 | 6 | | 21 | 14 | | 22 | 21 | | 23 | 7 | | 24 | 16 | | 25 | 5 | | 26 | 5 | | 27 | 13 | | 28 | 9 | | 29 | 9 | | 30 | 9 | | 31 | 10 | | 32 | 16 | | 33 | 9 | | 34 | 6 | | 35 | 6 | | 36 | 12 | | 37 | 13 | | 38 | 16 | | 39 | 11 | | 40 | 3 | | 41 | 4 | | 42 | 1 | | 43 | 8 | | 44 | 14 | | 45 | 7 | | 46 | 11 | | 47 | 19 | | 48 | 15 | | 49 | 13 |
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| 70.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4421052631578947 | | totalSentences | 95 | | uniqueOpeners | 42 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Finally, Lucien moved, the silver" | | 1 | "Then, a soft knock at" |
| | ratio | 0.027 | |
| 77.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 73 | | matches | | 0 | "It seemed appropriate." | | 1 | "She took a breath, a" | | 2 | "Her heart beat in her" | | 3 | "His heterochromatic eyes glanced at" | | 4 | "She stepped over the threshold," | | 5 | "She hesitated before setting it" | | 6 | "She braced herself against its" | | 7 | "he countered, heading towards the" | | 8 | "She watched him disappear, a" | | 9 | "Her fingers traced a line" | | 10 | "He reappeared, holding two steaming" | | 11 | "She clung to the mundane" | | 12 | "Her throat tightened." | | 13 | "She looked away, focused on" | | 14 | "He took a step closer," | | 15 | "She set the teacup down." | | 16 | "Her barely spoken excuse felt" | | 17 | "His silence was eloquent, filled" | | 18 | "It seemed insignificant compared to" | | 19 | "She looked out over Brick" |
| | ratio | 0.356 | |
| 21.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 73 | | matches | | 0 | "**Aurora's knuckles hesitated inches from" | | 1 | "It seemed appropriate." | | 2 | "She took a breath, a" | | 3 | "Her heart beat in her" | | 4 | "The door opened to reveal" | | 5 | "His heterochromatic eyes glanced at" | | 6 | "Lucien's voice smooth yet edged" | | 7 | "She stepped over the threshold," | | 8 | "Ptolemy wound between her legs" | | 9 | "The door shut with a" | | 10 | "Lucien continued, closing the door" | | 11 | "Aurora replied, glancing around" | | 12 | "The flat barely contained the" | | 13 | "Lucien's lips curved upwards ever" | | 14 | "Aurora unshouldered her bag" | | 15 | "She hesitated before setting it" | | 16 | "She braced herself against its" | | 17 | "Aurora chuckled, shaking her head." | | 18 | "he countered, heading towards the" | | 19 | "She watched him disappear, a" |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 1 | | matches | | 0 | "Ptolemy wound between her legs as if greeting an old friend." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "she began, her voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Lucien continued (continue)" |
| | dialogueSentences | 33 | | tagDensity | 0.121 | | leniency | 0.242 | | rawRatio | 0.25 | | effectiveRatio | 0.061 | |