| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 67 | | tagDensity | 0.209 | | leniency | 0.418 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1247 | | 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) | |
| 47.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1247 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "shattered" | | 1 | "electric" | | 2 | "pulse" | | 3 | "flicked" | | 4 | "eyebrow" | | 5 | "wavered" | | 6 | "trembled" | | 7 | "silence" | | 8 | "depths" | | 9 | "tension" | | 10 | "unreadable" | | 11 | "stomach" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | 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 | 21 | | markdownWords | 26 | | totalWords | 1241 | | ratio | 0.021 | | matches | | 0 | "fuck" | | 1 | "chérie" | | 2 | "happy" | | 3 | "I’ve-missed-you" | | 4 | "that night" | | 5 | "certain" | | 6 | "thing" | | 7 | "problem" | | 8 | "your" | | 9 | "stole" | | 10 | "anyone" | | 11 | "run" | | 12 | "pleasure" | | 13 | "still" | | 14 | "her" | | 15 | "her" | | 16 | "left" | | 17 | "pride" | | 18 | "rules" | | 19 | "every excuse in the world" | | 20 | "hurry" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 1 | | matches | | 0 | "Instead, she laughed, sharp and hollow." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 837 | | uniqueNames | 5 | | maxNameDensity | 2.03 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 13 | | Rory | 17 | | Ptolemy | 3 | | Lucien | 15 | | Wanted | 3 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Ptolemy" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.484 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like old books and burnt coffee, t" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.806 | | wordCount | 1241 | | matches | | 0 | "Not hard enough to bruise, but enough to send a jolt of pain up her arm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 18.8 | | std | 15.19 | | cv | 0.808 | | sampleLengths | | 0 | 1 | | 1 | 58 | | 2 | 6 | | 3 | 58 | | 4 | 8 | | 5 | 18 | | 6 | 30 | | 7 | 58 | | 8 | 8 | | 9 | 14 | | 10 | 1 | | 11 | 56 | | 12 | 28 | | 13 | 7 | | 14 | 24 | | 15 | 17 | | 16 | 12 | | 17 | 27 | | 18 | 5 | | 19 | 46 | | 20 | 22 | | 21 | 5 | | 22 | 19 | | 23 | 11 | | 24 | 53 | | 25 | 27 | | 26 | 14 | | 27 | 7 | | 28 | 22 | | 29 | 37 | | 30 | 6 | | 31 | 20 | | 32 | 6 | | 33 | 14 | | 34 | 32 | | 35 | 35 | | 36 | 25 | | 37 | 8 | | 38 | 5 | | 39 | 4 | | 40 | 31 | | 41 | 8 | | 42 | 42 | | 43 | 14 | | 44 | 17 | | 45 | 7 | | 46 | 11 | | 47 | 4 | | 48 | 16 | | 49 | 10 |
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| 98.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 98 | | matches | | 0 | "been relieved" | | 1 | "was locked" |
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| 91.30% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 184 | | matches | | 0 | "was trying" | | 1 | "was looking" | | 2 | "was trying" |
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| 64.58% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 146 | | ratio | 0.027 | | matches | | 0 | "Instead, the platinum blond hair, the tailored charcoal suit, the amber-and-black eyes—all of it froze her in place." | | 1 | "But the way he looked at her—like she was a puzzle he’d spent too long trying to solve—made her skin crawl." | | 2 | "“And you were always a *problem*.” She gestured to the mess around them—the broken frame, the scattered books, the way Ptolemy was now glaring at her from the couch like she’d betrayed him." | | 3 | "But the way Lucien was looking at her—like she was the only thing in the room that mattered—made her want to punch him." |
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| 98.71% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 844 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.041469194312796206 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005924170616113744 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 8.49 | | std | 6.85 | | cv | 0.806 | | sampleLengths | | 0 | 30 | | 1 | 28 | | 2 | 6 | | 3 | 22 | | 4 | 18 | | 5 | 18 | | 6 | 5 | | 7 | 3 | | 8 | 16 | | 9 | 2 | | 10 | 11 | | 11 | 10 | | 12 | 3 | | 13 | 6 | | 14 | 18 | | 15 | 21 | | 16 | 6 | | 17 | 13 | | 18 | 8 | | 19 | 9 | | 20 | 5 | | 21 | 1 | | 22 | 5 | | 23 | 15 | | 24 | 3 | | 25 | 5 | | 26 | 7 | | 27 | 21 | | 28 | 12 | | 29 | 16 | | 30 | 3 | | 31 | 4 | | 32 | 3 | | 33 | 2 | | 34 | 2 | | 35 | 2 | | 36 | 15 | | 37 | 5 | | 38 | 12 | | 39 | 6 | | 40 | 6 | | 41 | 14 | | 42 | 13 | | 43 | 3 | | 44 | 2 | | 45 | 9 | | 46 | 6 | | 47 | 5 | | 48 | 12 | | 49 | 14 |
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| 50.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3219178082191781 | | totalSentences | 146 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 92 | | matches | | 0 | "Then the cane hit her" | | 1 | "Instead, the platinum blond hair," | | 2 | "Just the cold, hard truth" | | 3 | "Instead, she laughed, sharp and" | | 4 | "Then, from the depths of" | | 5 | "Instead, she stepped forward, putting" | | 6 | "Just stared at her, like" | | 7 | "Then, finally, he sat." |
| | ratio | 0.087 | |
| 93.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 92 | | matches | | 0 | "She spun, fingers already curling" | | 1 | "she breathed, voice raw" | | 2 | "His lips twitched, just once," | | 3 | "His gaze locked onto Rory’s," | | 4 | "he said, voice low, almost" | | 5 | "She touched her shoulder instinctively," | | 6 | "It was a statement, delivered" | | 7 | "She should have been relieved." | | 8 | "she asked, voice steadier than" | | 9 | "His jaw tightened." | | 10 | "She stepped closer, voice dropping" | | 11 | "His eyes darkened." | | 12 | "She wanted to deny it." | | 13 | "she said, voice breaking just" | | 14 | "She ignored the sting." | | 15 | "His gaze flicked over her," | | 16 | "She gestured to the mess" | | 17 | "His eyes flashed." | | 18 | "she shot back" | | 19 | "He stepped closer, close enough" |
| | ratio | 0.315 | |
| 63.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 92 | | matches | | 0 | "The door creaked open before" | | 1 | "Glass shattered against the linoleum" | | 2 | "She spun, fingers already curling" | | 3 | "she breathed, voice raw" | | 4 | "His lips twitched, just once," | | 5 | "The air between them crackled," | | 6 | "Something that had once been" | | 7 | "Eva’s flat smelled like old" | | 8 | "The tabby cat shot up" | | 9 | "Lucien didn’t even glance at" | | 10 | "His gaze locked onto Rory’s," | | 11 | "he said, voice low, almost" | | 12 | "She touched her shoulder instinctively," | | 13 | "The word wasn’t a question." | | 14 | "It was a statement, delivered" | | 15 | "Rory’s chest tightened." | | 16 | "She should have been relieved." | | 17 | "she asked, voice steadier than" | | 18 | "His jaw tightened." | | 19 | "That was it." |
| | ratio | 0.793 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 92 | | matches | | 0 | "Before he left." | | 1 | "Before she told him to" |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "The door creaked open before the lock could even click into place, swinging inward with a force that sent the framed photograph of Eva’s grandmother’s wedding c…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 9 | | matches | | 0 | "she breathed, voice raw" | | 1 | "he said, voice low, almost clinical" | | 2 | "she asked, voice steadier than she felt" | | 3 | "She stepped, voice dropping to a growl" | | 4 | "she said, voice breaking just enough to betray her" | | 5 | "he said, voice dropping to a murmur" | | 6 | "She crossed, trying to hide the way her hands trembled" | | 7 | "she said, voice flat" | | 8 | "Rory said, voice steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "he added (add)" | | 2 | "Eva snapped (snap)" |
| | dialogueSentences | 67 | | tagDensity | 0.134 | | leniency | 0.269 | | rawRatio | 0.333 | | effectiveRatio | 0.09 | |