| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 2 | | adverbTags | | 0 | "he asked quietly [quietly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 115 | | tagDensity | 0.226 | | leniency | 0.452 | | rawRatio | 0.077 | | effectiveRatio | 0.035 | |
| 81.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1600 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "sharply" |
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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) | |
| 68.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1600 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "glistening" | | 1 | "silence" | | 2 | "unspoken" | | 3 | "weight" | | 4 | "flickered" | | 5 | "charged" | | 6 | "pulse" | | 7 | "trembled" |
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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 | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 119 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 207 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1584 | | ratio | 0.002 | | matches | | 0 | "our" | | 1 | "forbidden" | | 2 | "will" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 847 | | uniqueNames | 13 | | maxNameDensity | 0.94 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Lucien | 8 | | Moreau | 1 | | Paris | 1 | | Ptolemy | 3 | | Soho | 1 | | Aurora | 4 | | Hesitated | 1 | | Silence | 3 | | Avaros | 1 | | Brick | 1 | | Lane | 1 | | Rory | 1 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Aurora" | | 5 | "Silence" | | 6 | "Rory" |
| | places | | 0 | "Paris" | | 1 | "Soho" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.631 | | wordCount | 1584 | | matches | | 0 | "not as a thief, but as a revelation" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 207 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 133 | | mean | 11.91 | | std | 10.35 | | cv | 0.869 | | sampleLengths | | 0 | 42 | | 1 | 15 | | 2 | 37 | | 3 | 8 | | 4 | 3 | | 5 | 19 | | 6 | 18 | | 7 | 47 | | 8 | 6 | | 9 | 29 | | 10 | 5 | | 11 | 2 | | 12 | 8 | | 13 | 15 | | 14 | 3 | | 15 | 21 | | 16 | 5 | | 17 | 5 | | 18 | 3 | | 19 | 30 | | 20 | 22 | | 21 | 13 | | 22 | 10 | | 23 | 16 | | 24 | 2 | | 25 | 43 | | 26 | 16 | | 27 | 26 | | 28 | 4 | | 29 | 11 | | 30 | 6 | | 31 | 2 | | 32 | 4 | | 33 | 21 | | 34 | 7 | | 35 | 3 | | 36 | 20 | | 37 | 9 | | 38 | 2 | | 39 | 27 | | 40 | 5 | | 41 | 9 | | 42 | 9 | | 43 | 8 | | 44 | 42 | | 45 | 11 | | 46 | 7 | | 47 | 8 | | 48 | 29 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "was commenting" | | 1 | "was staring" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 207 | | ratio | 0.053 | | matches | | 0 | "One amber eye, one black—both fixed on her." | | 1 | "He studied her—the slick black hair clinging to her neck, the delivery satchel slung over one shoulder, the faint tremor in her wrist when she pushed a strand of hair from her face." | | 2 | "He exhaled, barely a sound, but his shoulders dipped—just slightly—like she’d shoved him with her words." | | 3 | "Instead, she turned, jammed her key into the deadbolts—click, click, click—and stepped inside." | | 4 | "The flat swallowed him whole—the books stacked knee-high by the window, the brittle scrolls rolled in brass cylinders on the coffee table, the scent of jasmine and old paper." | | 5 | "The air between them shifted—charged, sudden." | | 6 | "The eighth symbol—the one shaped like a broken moon—was slightly off." | | 7 | "When she looked back at Lucien, he was staring at her wrist—the scar visible now as she held her arm against her side." | | 8 | "She studied his face—the shadow beneath his eyes, the tightness in his throat." | | 9 | "She looked at him—really looked." | | 10 | "Then she turned, shoulders squared, blue eyes sharp again—the Rory who outsmarted a banshee with a pocket mirror and a lie." |
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| 97.44% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 862 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.042923433874709975 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013921113689095127 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 207 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 207 | | mean | 7.65 | | std | 5.97 | | cv | 0.78 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 3 | | 3 | 15 | | 4 | 3 | | 5 | 2 | | 6 | 24 | | 7 | 8 | | 8 | 3 | | 9 | 3 | | 10 | 2 | | 11 | 3 | | 12 | 17 | | 13 | 2 | | 14 | 18 | | 15 | 33 | | 16 | 14 | | 17 | 6 | | 18 | 2 | | 19 | 7 | | 20 | 20 | | 21 | 5 | | 22 | 2 | | 23 | 8 | | 24 | 8 | | 25 | 7 | | 26 | 3 | | 27 | 16 | | 28 | 5 | | 29 | 5 | | 30 | 5 | | 31 | 3 | | 32 | 8 | | 33 | 13 | | 34 | 9 | | 35 | 8 | | 36 | 14 | | 37 | 9 | | 38 | 4 | | 39 | 4 | | 40 | 6 | | 41 | 3 | | 42 | 13 | | 43 | 2 | | 44 | 29 | | 45 | 14 | | 46 | 12 | | 47 | 4 | | 48 | 6 | | 49 | 14 |
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| 45.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2995169082125604 | | totalSentences | 207 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 91 | | matches | | 0 | "Somewhere below, the curry house" | | 1 | "Instead, she turned, jammed her" | | 2 | "Then handed it to her." | | 3 | "Finally, he said," | | 4 | "Then she turned, shoulders squared," |
| | ratio | 0.055 | |
| 26.59% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 91 | | matches | | 0 | "Her breath caught." | | 1 | "He hadn't changed." | | 2 | "She didn’t move." | | 3 | "he added, voice low, smooth," | | 4 | "Her voice came out flatter" | | 5 | "He studied her—the slick black" | | 6 | "His gaze lingered on the" | | 7 | "He gave a small shrug" | | 8 | "He exhaled, barely a sound," | | 9 | "She bristled at the use" | | 10 | "He met her stare." | | 11 | "She didn’t answer." | | 12 | "he said, stepping further into" | | 13 | "Her eyes flickered." | | 14 | "She crossed her arms" | | 15 | "Her laugh was sharp." | | 16 | "She remembered the night in" | | 17 | "She turned away." | | 18 | "Her pulse jumped." | | 19 | "He took a slow step" |
| | ratio | 0.484 | |
| 69.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 91 | | matches | | 0 | "The chain rattled as the" | | 1 | "Aurora froze, keys halfway into" | | 2 | "Her breath caught." | | 3 | "He hadn't changed." | | 4 | "The charcoal suit hugged his" | | 5 | "She didn’t move." | | 6 | "he added, voice low, smooth," | | 7 | "Her voice came out flatter" | | 8 | "He studied her—the slick black" | | 9 | "His gaze lingered on the" | | 10 | "Eva was in Paris with" | | 11 | "The flat was empty except" | | 12 | "He gave a small shrug" | | 13 | "He exhaled, barely a sound," | | 14 | "The rain tapped a steady" | | 15 | "Lucien shifted his weight to" | | 16 | "She bristled at the use" | | 17 | "He met her stare." | | 18 | "She didn’t answer." | | 19 | "The flat swallowed him whole—the" |
| | ratio | 0.78 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "Then she turned, shoulders squared, blue eyes sharp again—the Rory who outsmarted a banshee with a pocket mirror and a lie." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 3 | | fancyTags | | 0 | "he added (add)" | | 1 | "Her voice came out (come out)" | | 2 | "she admitted (admit)" |
| | dialogueSentences | 115 | | tagDensity | 0.165 | | leniency | 0.33 | | rawRatio | 0.158 | | effectiveRatio | 0.052 | |