| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory said suddenly [suddenly]" |
| | dialogueSentences | 71 | | tagDensity | 0.338 | | leniency | 0.676 | | rawRatio | 0.042 | | effectiveRatio | 0.028 | |
| 91.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1206 | | totalAiIsmAdverbs | 2 | | 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) | |
| 62.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1206 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "throbbed" | | 1 | "silence" | | 2 | "navigated" | | 3 | "silk" | | 4 | "traced" | | 5 | "trembled" | | 6 | "gleaming" | | 7 | "pulse" | | 8 | "fractured" |
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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 | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1186 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 730 | | uniqueNames | 9 | | maxNameDensity | 0.55 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Rory | 4 | | Blu-Tack | 1 | | Produced | 1 | | Eva | 1 | | Marseille-accented | 1 | | Lai-la | 1 | | Marseille | 2 | | Lucien | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "as if presenting evidence" |
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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 | 1186 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 151 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 17.97 | | std | 14.18 | | cv | 0.789 | | sampleLengths | | 0 | 16 | | 1 | 43 | | 2 | 14 | | 3 | 2 | | 4 | 20 | | 5 | 5 | | 6 | 1 | | 7 | 12 | | 8 | 1 | | 9 | 23 | | 10 | 8 | | 11 | 3 | | 12 | 17 | | 13 | 17 | | 14 | 51 | | 15 | 6 | | 16 | 4 | | 17 | 30 | | 18 | 28 | | 19 | 27 | | 20 | 5 | | 21 | 8 | | 22 | 33 | | 23 | 17 | | 24 | 13 | | 25 | 4 | | 26 | 4 | | 27 | 24 | | 28 | 8 | | 29 | 20 | | 30 | 5 | | 31 | 29 | | 32 | 37 | | 33 | 7 | | 34 | 4 | | 35 | 16 | | 36 | 25 | | 37 | 28 | | 38 | 47 | | 39 | 4 | | 40 | 35 | | 41 | 5 | | 42 | 17 | | 43 | 22 | | 44 | 9 | | 45 | 5 | | 46 | 18 | | 47 | 6 | | 48 | 26 | | 49 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 151 | | ratio | 0.053 | | matches | | 0 | "Five-eleven, charcoal suit cut sharp as a blade, platinum hair slicked back to expose that face—angled cheekbones, the cruel line of his mouth." | | 1 | "Not because she believed him—because she knew his truths always came wrapped in violence." | | 2 | "Her heart hammered against her ribs—she ignored it, focused on the scar's dull ache instead." | | 3 | "She smelled his cologne—something dark, resinous, like church incense and something sulphurous underneath." | | 4 | "She noticed his grip on it—white-knuckled, though his face showed nothing." | | 5 | "\"I'm not fixing.\" He removed his gloves—grey silk, peeling back finger by finger." | | 6 | "She remembered his mouth on hers in the rain outside that Marseille cathedral, the way he'd trembled—not from cold, from restraint." | | 7 | "The deadbolts were still clicked home, but she felt it now—the pressure in the air, the way the shadows had thickened against the windows, sealing the flat into a box." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 747 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.022757697456492636 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002677376171352075 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 7.85 | | std | 5.46 | | cv | 0.695 | | sampleLengths | | 0 | 4 | | 1 | 12 | | 2 | 5 | | 3 | 23 | | 4 | 5 | | 5 | 6 | | 6 | 4 | | 7 | 6 | | 8 | 8 | | 9 | 2 | | 10 | 4 | | 11 | 12 | | 12 | 4 | | 13 | 5 | | 14 | 1 | | 15 | 2 | | 16 | 6 | | 17 | 4 | | 18 | 1 | | 19 | 12 | | 20 | 11 | | 21 | 8 | | 22 | 2 | | 23 | 1 | | 24 | 15 | | 25 | 2 | | 26 | 3 | | 27 | 14 | | 28 | 2 | | 29 | 5 | | 30 | 18 | | 31 | 10 | | 32 | 8 | | 33 | 8 | | 34 | 6 | | 35 | 4 | | 36 | 6 | | 37 | 7 | | 38 | 17 | | 39 | 4 | | 40 | 3 | | 41 | 15 | | 42 | 6 | | 43 | 10 | | 44 | 5 | | 45 | 12 | | 46 | 5 | | 47 | 8 | | 48 | 5 | | 49 | 13 |
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| 51.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3509933774834437 | | totalSentences | 151 | | uniqueOpeners | 53 | |
| 37.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 90 | | matches | | 0 | "Instead, she gripped the back" |
| | ratio | 0.011 | |
| 2.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 90 | | matches | | 0 | "His eyes stopped her breath." | | 1 | "He leaned on the ivory" | | 2 | "She blocked the doorway." | | 3 | "Her left wrist throbbed where" | | 4 | "It didn't reach the black" | | 5 | "He checked a silver watch" | | 6 | "His cane tapped the floorboards," | | 7 | "She shut the door." | | 8 | "Her heart hammered against her" | | 9 | "He moved closer" | | 10 | "She smelled his cologne—something dark," | | 11 | "She remembered tasting it on" | | 12 | "She crossed her arms" | | 13 | "His gaze locked on the" | | 14 | "His jaw tightened." | | 15 | "She looked down." | | 16 | "It did that when he" | | 17 | "He reached into his breast" | | 18 | "He set the vial on" | | 19 | "It glowed against the leather." |
| | ratio | 0.544 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 90 | | matches | | 0 | "The third deadbolt clicked." | | 1 | "Rory's fingers hesitated on the" | | 2 | "Lucien Moreau filled the frame." | | 3 | "His eyes stopped her breath." | | 4 | "He leaned on the ivory" | | 5 | "The handle carved into something" | | 6 | "She blocked the doorway." | | 7 | "Her left wrist throbbed where" | | 8 | "It didn't reach the black" | | 9 | "Ptolemy wound between her ankles," | | 10 | "Lucien's gaze dropped to the" | | 11 | "He checked a silver watch" | | 12 | "Rory stepped back." | | 13 | "The flat swallowed him whole." | | 14 | "Books towered on every surface," | | 15 | "The space smelled of old" | | 16 | "Lucien navigated the clutter without" | | 17 | "His cane tapped the floorboards," | | 18 | "The charcoal wool tightened across" | | 19 | "She shut the door." |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "Since the explosion that wasn't her fault but was her responsibility." | | 1 | "He rolled the right sleeve up, exposing the burn scar again, as if presenting evidence." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 2 | | matches | | 0 | "His hand slid, thumb pressing the pulse point" | | 1 | "He smiled, joyless" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "He admitted (admit)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 71 | | tagDensity | 0.099 | | leniency | 0.197 | | rawRatio | 0.286 | | effectiveRatio | 0.056 | |