| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 41 | | tagDensity | 0.488 | | leniency | 0.976 | | rawRatio | 0.05 | | effectiveRatio | 0.049 | |
| 77.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1108 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "tightly" | | 3 | "gently" | | 4 | "intensely" |
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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 | 1108 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "skipped a beat" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "fractured" | | 1 | "silence" | | 2 | "warmth" | | 3 | "skipped a beat" | | 4 | "processed" | | 5 | "whisper" | | 6 | "unspoken" | | 7 | "enigmatic" | | 8 | "measured" | | 9 | "tension" | | 10 | "silk" | | 11 | "could feel" | | 12 | "unravel" | | 13 | "weight" | | 14 | "resolve" | | 15 | "restrained" | | 16 | "tracing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1110 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 921 | | uniqueNames | 8 | | maxNameDensity | 0.98 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 6 | | Brick | 1 | | Lane | 1 | | Silence | 1 | | Aurora | 8 | | Lucien | 9 | | Marseille | 1 | | Rory | 5 |
| | persons | | 0 | "Eva" | | 1 | "Silence" | | 2 | "Aurora" | | 3 | "Lucien" | | 4 | "Rory" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like static electricity" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1110 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 27.07 | | std | 15.26 | | cv | 0.564 | | sampleLengths | | 0 | 69 | | 1 | 72 | | 2 | 40 | | 3 | 4 | | 4 | 30 | | 5 | 49 | | 6 | 60 | | 7 | 21 | | 8 | 20 | | 9 | 25 | | 10 | 14 | | 11 | 21 | | 12 | 18 | | 13 | 33 | | 14 | 14 | | 15 | 20 | | 16 | 12 | | 17 | 15 | | 18 | 41 | | 19 | 25 | | 20 | 27 | | 21 | 25 | | 22 | 22 | | 23 | 7 | | 24 | 45 | | 25 | 27 | | 26 | 13 | | 27 | 20 | | 28 | 15 | | 29 | 12 | | 30 | 20 | | 31 | 37 | | 32 | 26 | | 33 | 17 | | 34 | 40 | | 35 | 28 | | 36 | 22 | | 37 | 21 | | 38 | 11 | | 39 | 39 | | 40 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 42.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 85 | | ratio | 0.035 | | matches | | 0 | "Rory's breath caught in her throat as history thrummed between them — attraction, hurt, and scathing words that remained unspoken since their last parting." | | 1 | "Aurora wouldn't flinch; she refused." | | 2 | "As they turned back to the maze of research, Aurora felt a semblance of balance return — precarious, fragile, but undeniably there." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 922 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.0368763557483731 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.014099783080260303 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 13.06 | | std | 6.27 | | cv | 0.48 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 24 | | 3 | 13 | | 4 | 11 | | 5 | 9 | | 6 | 15 | | 7 | 15 | | 8 | 22 | | 9 | 24 | | 10 | 8 | | 11 | 8 | | 12 | 4 | | 13 | 16 | | 14 | 14 | | 15 | 12 | | 16 | 15 | | 17 | 22 | | 18 | 20 | | 19 | 16 | | 20 | 24 | | 21 | 16 | | 22 | 5 | | 23 | 20 | | 24 | 15 | | 25 | 10 | | 26 | 14 | | 27 | 16 | | 28 | 5 | | 29 | 13 | | 30 | 5 | | 31 | 22 | | 32 | 11 | | 33 | 10 | | 34 | 4 | | 35 | 13 | | 36 | 7 | | 37 | 12 | | 38 | 12 | | 39 | 3 | | 40 | 17 | | 41 | 20 | | 42 | 4 | | 43 | 15 | | 44 | 10 | | 45 | 10 | | 46 | 17 | | 47 | 25 | | 48 | 17 | | 49 | 5 |
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| 87.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5411764705882353 | | totalSentences | 85 | | uniqueOpeners | 46 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Then, the silence broke." |
| | ratio | 0.015 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 66 | | matches | | 0 | "She glanced over her shoulder" | | 1 | "Her body flinched as the" | | 2 | "she said, her voice a" | | 3 | "His platinum blond hair, meticulously" | | 4 | "He rose from where he" | | 5 | "he said softly, the whisper" | | 6 | "she countered, the sharpness of" | | 7 | "His lips curved into a" | | 8 | "she shot back, refusing to" | | 9 | "he said, his voice dropping" | | 10 | "he asked, his voice just" | | 11 | "Her spine stiffened but she" | | 12 | "They fell into a rhythm," | | 13 | "his voice barely a disturbance" | | 14 | "she replied, not tearing her" | | 15 | "he countered, frustration leaking into" | | 16 | "She turned to face him" | | 17 | "Her voice broke and she" | | 18 | "His knuckles whitened on the" | | 19 | "he whispered, lifting his hand" |
| | ratio | 0.364 | |
| 35.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 66 | | matches | | 0 | "Aurora stood in the narrow" | | 1 | "She glanced over her shoulder" | | 2 | "The twilight draped Brick Lane" | | 3 | "Her body flinched as the" | | 4 | "The wooden door creaked as" | | 5 | "The scent of curry drifted" | | 6 | "Ptolemy, Eva's tabby cat, slinked" | | 7 | "Rory called, shutting the door" | | 8 | "a voice smooth like aged" | | 9 | "Aurora's heart skipped a beat," | | 10 | "she said, her voice a" | | 11 | "His platinum blond hair, meticulously" | | 12 | "The ivory handle of his" | | 13 | "He rose from where he" | | 14 | "Rory's breath caught in her" | | 15 | "he said softly, the whisper" | | 16 | "she countered, the sharpness of" | | 17 | "His lips curved into a" | | 18 | "she shot back, refusing to" | | 19 | "Lucien said, stepping closer, the" |
| | ratio | 0.848 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory's breath caught in her throat as history thrummed between them — attraction, hurt, and scathing words that remained unspoken since their last parting." | | 1 | "Together, they sifted through Eva's trail of breadcrumbs, the unspoken words threaded between each step, and the promise of what they might rebuild formed the f…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "she said, her voice a whisper as she stepped further inside" | | 1 | "she shot back, refusing to let the old wounds bleed anew" | | 2 | "Lucien replied, his voice a blend of silk and steel" | | 3 | "she replied, not tearing her eyes from the journal" | | 4 | "he countered, frustration leaking into his usually composed demeanor" | | 5 | "Her voice broke, the crack revealing more than her words" | | 6 | "she said, her throat tight and dry" |
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| 76.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Aurora corrected (correct)" | | 1 | "he whispered (whisper)" | | 2 | "Lucien murmured (murmur)" |
| | dialogueSentences | 41 | | tagDensity | 0.317 | | leniency | 0.634 | | rawRatio | 0.231 | | effectiveRatio | 0.146 | |