| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 58 | | tagDensity | 0.224 | | leniency | 0.448 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1416 | | totalAiIsmAdverbs | 3 | | 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) | |
| 57.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1416 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "gleaming" | | 1 | "constructed" | | 2 | "flickered" | | 3 | "charged" | | 4 | "silence" | | 5 | "pulse" | | 6 | "whisper" | | 7 | "traced" | | 8 | "glint" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
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| | highlights | | 0 | "heart pounded in her chest" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 131 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 131 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 176 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 5 | | totalWords | 1406 | | ratio | 0.004 | | matches | | 0 | "everything" | | 1 | "ma chérie" | | 2 | "had" | | 3 | "he" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1190 | | uniqueNames | 5 | | maxNameDensity | 1.85 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 22 | | Ptolemy | 1 | | Lucien | 20 | | Didn | 5 | | Should | 3 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Should" |
| | places | (empty) | | globalScore | 0.576 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | 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 | 1406 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 176 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 84 | | mean | 16.74 | | std | 11.12 | | cv | 0.664 | | sampleLengths | | 0 | 59 | | 1 | 1 | | 2 | 40 | | 3 | 15 | | 4 | 22 | | 5 | 14 | | 6 | 13 | | 7 | 51 | | 8 | 6 | | 9 | 8 | | 10 | 30 | | 11 | 15 | | 12 | 34 | | 13 | 11 | | 14 | 9 | | 15 | 24 | | 16 | 7 | | 17 | 23 | | 18 | 6 | | 19 | 5 | | 20 | 7 | | 21 | 29 | | 22 | 43 | | 23 | 27 | | 24 | 33 | | 25 | 11 | | 26 | 26 | | 27 | 10 | | 28 | 23 | | 29 | 13 | | 30 | 8 | | 31 | 4 | | 32 | 8 | | 33 | 23 | | 34 | 4 | | 35 | 25 | | 36 | 21 | | 37 | 3 | | 38 | 25 | | 39 | 21 | | 40 | 11 | | 41 | 7 | | 42 | 14 | | 43 | 23 | | 44 | 10 | | 45 | 6 | | 46 | 32 | | 47 | 34 | | 48 | 21 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 233 | | matches | | |
| 29.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 176 | | ratio | 0.04 | | matches | | 0 | "The flat’s dim glow spilled onto the pavement, illuminating the figure standing there—tall, broad-shouldered, his platinum hair catching the streetlamp’s sickly yellow light." | | 1 | "His amber eye flickered—just for a second—before he tilted his head, the black one catching the light." | | 2 | "She could still remember the way he’d tasted—bitter and sweet, like stolen wine and something darker." | | 3 | "It had come from her—from the way she’d gripped the doorframe when she’d first seen him." | | 4 | "She’d forgotten how he said it—like it was a secret, like it was just for her." | | 5 | "The taste of him—smoky and sweet—filled her mouth, her body aching for him in a way she hadn’t let herself remember." | | 6 | "The taste of him—smoky and sweet—filled her mouth, her body aching for him in a way she hadn’t let herself remember." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1200 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.03833333333333333 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008333333333333333 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 176 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 176 | | mean | 7.99 | | std | 5.73 | | cv | 0.718 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 23 | | 3 | 1 | | 4 | 11 | | 5 | 3 | | 6 | 2 | | 7 | 24 | | 8 | 8 | | 9 | 7 | | 10 | 17 | | 11 | 5 | | 12 | 9 | | 13 | 5 | | 14 | 10 | | 15 | 3 | | 16 | 15 | | 17 | 15 | | 18 | 4 | | 19 | 17 | | 20 | 3 | | 21 | 3 | | 22 | 5 | | 23 | 3 | | 24 | 2 | | 25 | 7 | | 26 | 16 | | 27 | 5 | | 28 | 9 | | 29 | 6 | | 30 | 19 | | 31 | 15 | | 32 | 11 | | 33 | 3 | | 34 | 6 | | 35 | 9 | | 36 | 6 | | 37 | 9 | | 38 | 7 | | 39 | 7 | | 40 | 16 | | 41 | 3 | | 42 | 3 | | 43 | 1 | | 44 | 4 | | 45 | 5 | | 46 | 2 | | 47 | 26 | | 48 | 3 | | 49 | 12 |
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| 47.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.20454545454545456 | | totalSentences | 176 | | uniqueOpeners | 36 | |
| 81.97% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 122 | | matches | | 0 | "Just stood there, dressed in" | | 1 | "Just crouched slightly, letting the" | | 2 | "Instead, she reached up and" |
| | ratio | 0.025 | |
| 79.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 122 | | matches | | 0 | "She froze, her fingers still" | | 1 | "His cane tapped once against" | | 2 | "He didn’t smile." | | 3 | "His amber eye flickered—just for" | | 4 | "She stepped back, pressing her" | | 5 | "His voice was smooth, like" | | 6 | "He hissed, low and warning," | | 7 | "She could still remember the" | | 8 | "she said, voice steadier than" | | 9 | "His gaze dropped to her" | | 10 | "She pulled her arm back" | | 11 | "she added, sharper this time" | | 12 | "She hadn’t meant to say" | | 13 | "His voice dropped, rougher now" | | 14 | "She looked away, at the" | | 15 | "His hand shot out, gripping" | | 16 | "His touch was warm, almost" | | 17 | "She should’ve pulled away." | | 18 | "she murmured, tilting her head" | | 19 | "It had come from her—from" |
| | ratio | 0.352 | |
| 37.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 122 | | matches | | 0 | "The door creaked open before" | | 1 | "She froze, her fingers still" | | 2 | "The flat’s dim glow spilled" | | 3 | "His cane tapped once against" | | 4 | "He didn’t smile." | | 5 | "Rory exhaled through her nose," | | 6 | "His amber eye flickered—just for" | | 7 | "She stepped back, pressing her" | | 8 | "His voice was smooth, like" | | 9 | "Ptolemy chose that moment to" | | 10 | "He hissed, low and warning," | | 11 | "The demon didn’t flinch." | | 12 | "Rory’s fingers twitched." | | 13 | "Lucien’s lips quirked, just once." | | 14 | "The air between them was" | | 15 | "She could still remember the" | | 16 | "Something she’d tried to forget." | | 17 | "she said, voice steadier than" | | 18 | "His gaze dropped to her" | | 19 | "She pulled her arm back" |
| | ratio | 0.844 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 122 | | matches | | 0 | "Because it *had* been true" | | 1 | "Before everything fell apart." | | 2 | "Before *he* fell apart." |
| | ratio | 0.025 | |
| 84.55% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 4 | | matches | | 0 | "She pulled her arm back instinctively, as if he could see the past written there." | | 1 | "Rory melted into him, her fingers tangling in his hair, pulling him closer." | | 2 | "Rory melted into him, her fingers tangling in his hair, pulling him closer." | | 3 | "Rory wrapped her arms around his neck, pulling him closer, her body arching into his." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, voice steadier than she felt" | | 1 | "she said, but her voice was barely a breath" | | 2 | "he repeated, his voice rough" | | 3 | "he repeated, his voice rough" |
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| 12.07% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 8 | | fancyTags | | 0 | "she added (add)" | | 1 | "she snapped (snap)" | | 2 | "she murmured (murmur)" | | 3 | "he murmured (murmur)" | | 4 | "she whispered (whisper)" | | 5 | "he repeated (repeat)" | | 6 | "he repeated (repeat)" | | 7 | "he murmured (murmur)" |
| | dialogueSentences | 58 | | tagDensity | 0.172 | | leniency | 0.345 | | rawRatio | 0.8 | | effectiveRatio | 0.276 | |