| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "He leaned back [back]" | | 1 | "She felt oddly [oddly]" |
| | dialogueSentences | 68 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.1 | | effectiveRatio | 0.059 | |
| 51.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1532 | | totalAiIsmAdverbs | 15 | | found | | | highlights | | 0 | "really" | | 1 | "slowly" | | 2 | "very" | | 3 | "suddenly" | | 4 | "carefully" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 51.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1532 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "unsettled" | | 3 | "calculating" | | 4 | "silence" | | 5 | "absolutely" | | 6 | "navigate" | | 7 | "charm" | | 8 | "stomach" | | 9 | "intensity" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1523 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 916 | | uniqueNames | 13 | | maxNameDensity | 0.87 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 4 | | October | 1 | | Soho | 1 | | Silas | 8 | | Gareth | 5 | | Williams | 1 | | Cardiff | 1 | | Heat | 1 | | Evan | 1 | | Eva | 1 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Gareth" | | 5 | "Williams" | | 6 | "Heat" | | 7 | "Evan" | | 8 | "Eva" |
| | places | | 0 | "October" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like understanding" |
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| 3.02% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.97 | | wordCount | 1523 | | matches | | 0 | "not Silas, but a younger man she didn't recognize" | | 1 | "not silver like Silas's, but gold with some family crest" | | 2 | "not just the printed information but the story it told" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 22.4 | | std | 17.19 | | cv | 0.767 | | sampleLengths | | 0 | 67 | | 1 | 51 | | 2 | 5 | | 3 | 73 | | 4 | 13 | | 5 | 26 | | 6 | 1 | | 7 | 37 | | 8 | 14 | | 9 | 35 | | 10 | 4 | | 11 | 12 | | 12 | 23 | | 13 | 19 | | 14 | 12 | | 15 | 41 | | 16 | 24 | | 17 | 39 | | 18 | 4 | | 19 | 29 | | 20 | 7 | | 21 | 32 | | 22 | 7 | | 23 | 1 | | 24 | 2 | | 25 | 20 | | 26 | 15 | | 27 | 12 | | 28 | 43 | | 29 | 48 | | 30 | 6 | | 31 | 30 | | 32 | 2 | | 33 | 46 | | 34 | 3 | | 35 | 34 | | 36 | 26 | | 37 | 27 | | 38 | 45 | | 39 | 6 | | 40 | 2 | | 41 | 2 | | 42 | 20 | | 43 | 42 | | 44 | 15 | | 45 | 29 | | 46 | 8 | | 47 | 15 | | 48 | 46 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 68 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 19.70% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 116 | | ratio | 0.043 | | matches | | 0 | "She turned slowly, and there he was—Gareth Williams, though she barely recognised him." | | 1 | "\"Don't they just.\" He slid onto the adjacent stool, close enough that she caught his cologne—expensive, nothing like the cheap aftershave he'd worn as a student." | | 2 | "\"Ah yes, life. That inconvenient thing that gets in the way of our grand plans.\" He signaled to the bartender who'd emerged from the back—not Silas, but a younger man she didn't recognize." | | 3 | "The memories threatened to surface—the raised voices, the controlling behavior that had slowly strangled her spirit, the final night when she'd fled with nothing but a bag of clothes and Eva's promise of refuge in London." | | 4 | "\"We all have our reasons, I suppose. Our necessary compromises.\" He touched his signet ring—not silver like Silas's, but gold with some family crest." |
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| 86.44% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 688 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.05377906976744186 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.02180232558139535 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 13.13 | | std | 9.33 | | cv | 0.711 | | sampleLengths | | 0 | 28 | | 1 | 11 | | 2 | 28 | | 3 | 24 | | 4 | 12 | | 5 | 15 | | 6 | 5 | | 7 | 5 | | 8 | 13 | | 9 | 20 | | 10 | 13 | | 11 | 9 | | 12 | 13 | | 13 | 13 | | 14 | 24 | | 15 | 2 | | 16 | 1 | | 17 | 21 | | 18 | 16 | | 19 | 9 | | 20 | 5 | | 21 | 26 | | 22 | 9 | | 23 | 4 | | 24 | 4 | | 25 | 8 | | 26 | 9 | | 27 | 14 | | 28 | 19 | | 29 | 11 | | 30 | 1 | | 31 | 41 | | 32 | 6 | | 33 | 16 | | 34 | 2 | | 35 | 33 | | 36 | 6 | | 37 | 4 | | 38 | 16 | | 39 | 13 | | 40 | 4 | | 41 | 3 | | 42 | 9 | | 43 | 23 | | 44 | 7 | | 45 | 1 | | 46 | 2 | | 47 | 20 | | 48 | 8 | | 49 | 7 |
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| 81.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5172413793103449 | | totalSentences | 116 | | uniqueOpeners | 60 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Then she thought about the" |
| | ratio | 0.015 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 66 | | matches | | 0 | "She hadn't planned on coming" | | 1 | "She turned slowly, and there" | | 2 | "He wore a charcoal suit" | | 3 | "She kept her voice level," | | 4 | "He abandoned his drink and" | | 5 | "His gaze swept over her" | | 6 | "She felt the familiar heat" | | 7 | "He slid onto the adjacent" | | 8 | "His eyebrows shot up." | | 9 | "She hadn't, but she wasn't" | | 10 | "She gripped her hands together" | | 11 | "He signaled to the bartender" | | 12 | "He leaned back, studying her" | | 13 | "She watched his expression shift," | | 14 | "He held up his hands" | | 15 | "She didn't touch hers." | | 16 | "She also remembered the night" | | 17 | "His voice had gone softer," | | 18 | "He laughed, but there was" | | 19 | "He drained his glass and" |
| | ratio | 0.5 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 66 | | matches | | 0 | "The green neon sign of" | | 1 | "Water dripped from her black" | | 2 | "She hadn't planned on coming" | | 3 | "The bar was nearly empty," | | 4 | "Maps and faded photographs lined" | | 5 | "Rory slid onto a barstool" | | 6 | "The voice froze her blood." | | 7 | "She turned slowly, and there" | | 8 | "The lanky boy she'd known" | | 9 | "He wore a charcoal suit" | | 10 | "The mischievous spark she remembered" | | 11 | "She kept her voice level," | | 12 | "He abandoned his drink and" | | 13 | "His gaze swept over her" | | 14 | "She felt the familiar heat" | | 15 | "He slid onto the adjacent" | | 16 | "His eyebrows shot up." | | 17 | "The condescension in his tone" | | 18 | "She hadn't, but she wasn't" | | 19 | "The words hit like physical" |
| | ratio | 0.909 | |
| 75.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 66 | | matches | | 0 | "Before she could respond, the" |
| | ratio | 0.015 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "The memories threatened to surface—the raised voices, the controlling behavior that had slowly strangled her spirit, the final night when she'd fled with nothin…" | | 1 | "Then she thought about the man who'd just left, with his calculating eyes and casual condescension." |
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| 50.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 3 | | matches | | 0 | "She kept, though her heart hammered against her ribs" | | 1 | "The question carried, as if he genuinely wanted to know her answer" | | 2 | "Gareth said, the moment stretching uncomfortably" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Gareth continued (continue)" |
| | dialogueSentences | 68 | | tagDensity | 0.029 | | leniency | 0.059 | | rawRatio | 0.5 | | effectiveRatio | 0.029 | |