| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 86 | | tagDensity | 0.093 | | leniency | 0.186 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1536 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "suddenly" | | 2 | "slightly" |
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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) | |
| 64.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1536 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | |
| | highlights | | 0 | "flickered" | | 1 | "silence" | | 2 | "pulse" | | 3 | "traced" | | 4 | "echoed" | | 5 | "down her spine" | | 6 | "charged" | | 7 | "electric" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 129 | | matches | | |
| 98.56% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 129 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 206 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1528 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1124 | | uniqueNames | 7 | | maxNameDensity | 1.33 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 3 | | Jenga | 1 | | Moreau | 1 | | Lucien | 9 | | Rory | 15 | | Ptolemy | 4 | | Wanted | 4 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Rory" | | 4 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.833 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 4 | | matches | | 0 | "something like gunpowder, followed him insid" | | 1 | "not quite touching" | | 2 | "tasted like whiskey and sin, and she hate" | | 3 | "felt like they might finally, finally s" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.654 | | wordCount | 1528 | | matches | | 0 | "not to push him away but to anchor herself" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 206 | | matches | | 0 | "chose that moment" | | 1 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 106 | | mean | 14.42 | | std | 14.38 | | cv | 0.997 | | sampleLengths | | 0 | 46 | | 1 | 58 | | 2 | 17 | | 3 | 59 | | 4 | 5 | | 5 | 15 | | 6 | 2 | | 7 | 4 | | 8 | 32 | | 9 | 5 | | 10 | 22 | | 11 | 1 | | 12 | 4 | | 13 | 47 | | 14 | 32 | | 15 | 3 | | 16 | 2 | | 17 | 10 | | 18 | 4 | | 19 | 1 | | 20 | 2 | | 21 | 16 | | 22 | 6 | | 23 | 7 | | 24 | 12 | | 25 | 6 | | 26 | 31 | | 27 | 1 | | 28 | 2 | | 29 | 29 | | 30 | 5 | | 31 | 9 | | 32 | 10 | | 33 | 3 | | 34 | 57 | | 35 | 5 | | 36 | 10 | | 37 | 5 | | 38 | 7 | | 39 | 54 | | 40 | 4 | | 41 | 3 | | 42 | 1 | | 43 | 8 | | 44 | 12 | | 45 | 17 | | 46 | 40 | | 47 | 4 | | 48 | 6 | | 49 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 220 | | matches | (empty) | |
| 45.77% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 206 | | ratio | 0.034 | | matches | | 0 | "The flat was a mess—books stacked like Jenga towers, a half-unpacked rucksack from last night’s delivery shift, and a bra draped over the lamp." | | 1 | "His heterochromatic eyes—amber and black—flickered over her, lingering on the scar on her wrist before meeting her gaze." | | 2 | "But the way he looked at her—like she was a puzzle he’d been trying to solve for years—rooted her in place." | | 3 | "She studied him—the way his shoulders filled the doorway, the faint shadow of stubble along his jaw, the way his cane tapped once, impatiently, against the floorboards." | | 4 | "Eva’s research notes were everywhere—pages of scribbled theories, red string tacked to the walls like some mad detective’s board." | | 5 | "She should’ve been immune to it by now—the way his voice wrapped around her name, the way his eyes darkened when he looked at her." | | 6 | "The kiss was a collision—teeth and tongue and six months of pent-up frustration." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 477 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.039832285115303984 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0041928721174004195 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 206 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 206 | | mean | 7.42 | | std | 5.59 | | cv | 0.754 | | sampleLengths | | 0 | 10 | | 1 | 8 | | 2 | 9 | | 3 | 3 | | 4 | 16 | | 5 | 9 | | 6 | 10 | | 7 | 24 | | 8 | 15 | | 9 | 4 | | 10 | 9 | | 11 | 4 | | 12 | 26 | | 13 | 15 | | 14 | 18 | | 15 | 5 | | 16 | 7 | | 17 | 8 | | 18 | 2 | | 19 | 4 | | 20 | 5 | | 21 | 6 | | 22 | 21 | | 23 | 5 | | 24 | 7 | | 25 | 13 | | 26 | 2 | | 27 | 1 | | 28 | 4 | | 29 | 2 | | 30 | 27 | | 31 | 6 | | 32 | 12 | | 33 | 14 | | 34 | 4 | | 35 | 14 | | 36 | 3 | | 37 | 2 | | 38 | 6 | | 39 | 4 | | 40 | 4 | | 41 | 1 | | 42 | 2 | | 43 | 12 | | 44 | 4 | | 45 | 6 | | 46 | 7 | | 47 | 4 | | 48 | 8 | | 49 | 3 |
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| 47.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.28640776699029125 | | totalSentences | 206 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 118 | | matches | | 0 | "Of course she did." | | 1 | "Just watched the cat with" | | 2 | "Instead, she crossed her arms." | | 3 | "Just a fraction, just enough" | | 4 | "Then, just as suddenly, he" |
| | ratio | 0.042 | |
| 91.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 118 | | matches | | 0 | "She nudged a pile of" | | 1 | "She jiggled it, cursed under" | | 2 | "His heterochromatic eyes—amber and black—flickered" | | 3 | "She should’ve slammed the door." | | 4 | "He stepped forward, forcing her" | | 5 | "He exhaled, low and controlled," | | 6 | "She wanted to hit him." | | 7 | "He lifted his free hand," | | 8 | "His fingers curled into a" | | 9 | "She studied him—the way his" | | 10 | "He was always so damn" | | 11 | "His voice dropped." | | 12 | "His thumb traced the ivory" | | 13 | "She wanted to press." | | 14 | "He chuckled, low and rough." | | 15 | "She should’ve been immune to" | | 16 | "His gaze dropped to her" | | 17 | "He didn’t move." | | 18 | "He took a step forward," | | 19 | "He trailed off, his jaw" |
| | ratio | 0.322 | |
| 78.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 118 | | matches | | 0 | "The knock came just as" | | 1 | "Rory froze, her hand hovering" | | 2 | "Eva would’ve barged in by" | | 3 | "Ptolemy lifted his head from" | | 4 | "Rory exhaled through her nose" | | 5 | "The flat was a mess—books" | | 6 | "She nudged a pile of" | | 7 | "The third deadbolt stuck." | | 8 | "She jiggled it, cursed under" | | 9 | "The door swung open." | | 10 | "Lucien Moreau stood in the" | | 11 | "The overhead light caught the" | | 12 | "His heterochromatic eyes—amber and black—flickered" | | 13 | "Rory’s fingers tightened around the" | | 14 | "She should’ve slammed the door." | | 15 | "He stepped forward, forcing her" | | 16 | "The scent of bergamot and" | | 17 | "The last time they’d spoken," | | 18 | "That had been six months" | | 19 | "Ptolemy chose that moment to" |
| | ratio | 0.763 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 1 | | matches | | 0 | "The air between them thickened, charged with something electric, something that had nothing to do with anger and everything to do with the way her body still re…" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "He trailed, his jaw tightening" |
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| 91.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "The last time they’d (would)" | | 1 | "Lucien observed (observe)" | | 2 | "she snapped (snap)" | | 3 | "he murmured (murmur)" | | 4 | "he repeated (repeat)" |
| | dialogueSentences | 86 | | tagDensity | 0.07 | | leniency | 0.14 | | rawRatio | 0.833 | | effectiveRatio | 0.116 | |