| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said softly [softly]" |
| | dialogueSentences | 29 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.111 | | effectiveRatio | 0.069 | |
| 70.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 847 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "quickly" | | 1 | "carefully" | | 2 | "softly" | | 3 | "sharply" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 46.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 847 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "raced" | | 1 | "traced" | | 2 | "shattered" | | 3 | "perfect" | | 4 | "synthetic" | | 5 | "etched" | | 6 | "eyebrow" | | 7 | "flicked" | | 8 | "echoes" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 49 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 838 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 401 | | uniqueNames | 4 | | maxNameDensity | 3.24 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 13 | | Patel | 11 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Patel" |
| | places | | | globalScore | 0 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 28 | | 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 | 838 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 28.9 | | std | 16.45 | | cv | 0.569 | | sampleLengths | | 0 | 62 | | 1 | 43 | | 2 | 63 | | 3 | 18 | | 4 | 37 | | 5 | 33 | | 6 | 24 | | 7 | 52 | | 8 | 4 | | 9 | 9 | | 10 | 53 | | 11 | 12 | | 12 | 28 | | 13 | 14 | | 14 | 48 | | 15 | 12 | | 16 | 21 | | 17 | 49 | | 18 | 9 | | 19 | 14 | | 20 | 30 | | 21 | 26 | | 22 | 18 | | 23 | 31 | | 24 | 45 | | 25 | 13 | | 26 | 28 | | 27 | 24 | | 28 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 78 | | matches | (empty) | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 69 | | ratio | 0.043 | | matches | | 0 | "The flash of pale wrist fat beneath the sleeve caught her eye—a shiver raced through her spine that had nothing to do with cold." | | 1 | "“The body’s placed here to send a message. But the weapon? No ordinary item smashed into the skull. Glass with alchemical properties, possibly enchanted. And the weapon never left here. Most bruises don’t match blunt force trauma; they’re consistent with something... unnatural.”" | | 2 | "The detective’s voice carried a hard edge—equal parts warning and promise—before the harsh station echoes swallowed her words." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 405 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.03209876543209877 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.01728395061728395 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 12.14 | | std | 9.88 | | cv | 0.814 | | sampleLengths | | 0 | 22 | | 1 | 9 | | 2 | 4 | | 3 | 5 | | 4 | 22 | | 5 | 12 | | 6 | 31 | | 7 | 15 | | 8 | 24 | | 9 | 24 | | 10 | 9 | | 11 | 9 | | 12 | 5 | | 13 | 30 | | 14 | 2 | | 15 | 3 | | 16 | 15 | | 17 | 12 | | 18 | 3 | | 19 | 2 | | 20 | 22 | | 21 | 8 | | 22 | 12 | | 23 | 11 | | 24 | 10 | | 25 | 7 | | 26 | 4 | | 27 | 4 | | 28 | 4 | | 29 | 5 | | 30 | 4 | | 31 | 6 | | 32 | 31 | | 33 | 12 | | 34 | 2 | | 35 | 10 | | 36 | 4 | | 37 | 24 | | 38 | 7 | | 39 | 7 | | 40 | 6 | | 41 | 42 | | 42 | 6 | | 43 | 6 | | 44 | 21 | | 45 | 12 | | 46 | 37 | | 47 | 3 | | 48 | 6 | | 49 | 2 |
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| 85.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5217391304347826 | | totalSentences | 69 | | uniqueOpeners | 36 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 43 | | matches | | 0 | "Just a cordoned-off area beneath" |
| | ratio | 0.023 | |
| 61.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 43 | | matches | | 0 | "Her eyes adjusted quickly." | | 1 | "Her gaze traced lines on" | | 2 | "she said, voice low but" | | 3 | "He jerked his chin toward" | | 4 | "She lifted a shard of" | | 5 | "Her eyes narrowed." | | 6 | "He sounded sure, but something" | | 7 | "She knelt and turned the" | | 8 | "It was a compass." | | 9 | "Her voice was uneven, almost" | | 10 | "She flicked her thumb to" | | 11 | "She stood, eyes sharp." | | 12 | "she said softly, kneeling and" | | 13 | "He glanced at the screen," | | 14 | "She pocketed the compass carefully." | | 15 | "she tapped the bone token" | | 16 | "She glanced one last time" |
| | ratio | 0.395 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 43 | | matches | | 0 | "The flickering overhead tube lights" | | 1 | "The place smelled of damp" | | 2 | "Her eyes adjusted quickly." | | 3 | "DS Patel stood nearby, glancing" | | 4 | "Quinn crouched at the edge" | | 5 | "The flash of pale wrist" | | 6 | "Her gaze traced lines on" | | 7 | "she said, voice low but" | | 8 | "He jerked his chin toward" | | 9 | "Quinn’s voice rasped." | | 10 | "She lifted a shard of" | | 11 | "The liquid inside had congealed" | | 12 | "Her eyes narrowed." | | 13 | "He sounded sure, but something" | | 14 | "She knelt and turned the" | | 15 | "There, nearly hidden in the" | | 16 | "Verdigris coated its edges and" | | 17 | "Quinn lifted it carefully as" | | 18 | "The face bore inscrutable sigils" | | 19 | "It was a compass." |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 1 | | matches | | 0 | "The liquid inside had congealed into glittering particles that resembled crushed emeralds." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice low but firm" |
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| 81.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Patel interrupted (interrupt)" | | 1 | "Quinn murmured (murmur)" |
| | dialogueSentences | 29 | | tagDensity | 0.138 | | leniency | 0.276 | | rawRatio | 0.5 | | effectiveRatio | 0.138 | |