| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 725 | | 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) | |
| 31.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 725 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "glinting" | | 2 | "unreadable" | | 3 | "flicked" | | 4 | "reminder" | | 5 | "could feel" | | 6 | "charged" | | 7 | "stomach" | | 8 | "shattered" | | 9 | "trembled" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | 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 | 4 | | markdownWords | 10 | | totalWords | 718 | | ratio | 0.014 | | matches | | 0 | "\"You don’t know what you’re dealing with.\"" | | 1 | "thud" | | 2 | "Eva." | | 3 | "Eva" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 639 | | uniqueNames | 3 | | maxNameDensity | 1.1 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Lucien" |
| | places | (empty) | | globalScore | 0.952 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 718 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 19.41 | | std | 14.78 | | cv | 0.762 | | sampleLengths | | 0 | 46 | | 1 | 48 | | 2 | 9 | | 3 | 30 | | 4 | 17 | | 5 | 9 | | 6 | 44 | | 7 | 28 | | 8 | 13 | | 9 | 16 | | 10 | 56 | | 11 | 3 | | 12 | 17 | | 13 | 29 | | 14 | 35 | | 15 | 4 | | 16 | 9 | | 17 | 2 | | 18 | 38 | | 19 | 23 | | 20 | 6 | | 21 | 37 | | 22 | 3 | | 23 | 13 | | 24 | 11 | | 25 | 39 | | 26 | 8 | | 27 | 6 | | 28 | 20 | | 29 | 10 | | 30 | 28 | | 31 | 16 | | 32 | 3 | | 33 | 6 | | 34 | 21 | | 35 | 2 | | 36 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 76.54% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 108 | | matches | | 0 | "was fighting" | | 1 | "was praying" |
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| 5.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 83 | | ratio | 0.048 | | matches | | 0 | "The scent of rain-soaked wool and something sharper—like ozone after a storm—flooded the hallway." | | 1 | "His heterochromatic eyes—one amber, one black—locked onto hers, unreadable." | | 2 | "Lucien’s gaze flicked to the scar on her wrist—the crescent moon of a childhood accident, now a permanent reminder of the night she’d left." | | 3 | "Not for a weapon—she’d learned his tells by now—but for a folded envelope." |
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| 95.72% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 646 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.04489164086687306 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0015479876160990713 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 8.65 | | std | 6.33 | | cv | 0.732 | | sampleLengths | | 0 | 10 | | 1 | 22 | | 2 | 14 | | 3 | 25 | | 4 | 9 | | 5 | 14 | | 6 | 9 | | 7 | 14 | | 8 | 8 | | 9 | 8 | | 10 | 10 | | 11 | 3 | | 12 | 4 | | 13 | 7 | | 14 | 2 | | 15 | 19 | | 16 | 13 | | 17 | 12 | | 18 | 24 | | 19 | 4 | | 20 | 3 | | 21 | 5 | | 22 | 5 | | 23 | 12 | | 24 | 4 | | 25 | 6 | | 26 | 10 | | 27 | 6 | | 28 | 34 | | 29 | 2 | | 30 | 1 | | 31 | 12 | | 32 | 5 | | 33 | 24 | | 34 | 5 | | 35 | 2 | | 36 | 8 | | 37 | 13 | | 38 | 6 | | 39 | 6 | | 40 | 4 | | 41 | 7 | | 42 | 2 | | 43 | 2 | | 44 | 4 | | 45 | 1 | | 46 | 26 | | 47 | 7 | | 48 | 3 | | 49 | 6 |
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| 47.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3373493975903614 | | totalSentences | 83 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 63 | | matches | | 0 | "Instead, she crossed her arms." | | 1 | "Then, slow, deliberate, he reached" | | 2 | "Then he was in front" | | 3 | "Instead, she picked up the" |
| | ratio | 0.063 | |
| 99.37% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 63 | | matches | | 0 | "His heterochromatic eyes—one amber, one" | | 1 | "she said, voice steadier than" | | 2 | "He pushed off the frame," | | 3 | "She didn’t answer." | | 4 | "He exhaled through his nose," | | 5 | "She remembered the last time" | | 6 | "His lips parted, just enough" | | 7 | "He tossed it onto the" | | 8 | "It landed with a soft" | | 9 | "She didn’t touch it." | | 10 | "His cane tapped once." | | 11 | "Her breath hitched." | | 12 | "She wanted to slap him." | | 13 | "She wanted to kiss him." | | 14 | "She wanted to scream." | | 15 | "She yanked her hand back." | | 16 | "His thumb brushed the scar" | | 17 | "She didn’t answer." | | 18 | "She had three days to" |
| | ratio | 0.302 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 63 | | matches | | 0 | "The door creaked open before" | | 1 | "Rory stood frozen, the takeaway" | | 2 | "The scent of rain-soaked wool" | | 3 | "Lucien Moreau leaned against the" | | 4 | "His heterochromatic eyes—one amber, one" | | 5 | "The corner of his mouth" | | 6 | "she said, voice steadier than" | | 7 | "He pushed off the frame," | | 8 | "The cane tapped once against" | | 9 | "Ptolemy, the tabby, wound between" | | 10 | "Lucien didn’t flinch." | | 11 | "Rory set the coffee on" | | 12 | "The flat smelled of burnt" | | 13 | "The same air that had" | | 14 | "The thought made her fingers" | | 15 | "Lucien’s gaze flicked to the" | | 16 | "She didn’t answer." | | 17 | "He exhaled through his nose," | | 18 | "The words hung between them," | | 19 | "She remembered the last time" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice steadier than she felt" |
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| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 19 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 0.5 | | effectiveRatio | 0.105 | |