| 83.72% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 43 | | adverbTagCount | 5 | | adverbTags | | 0 | "Aurora said finally [finally]" | | 1 | "she said quickly [quickly]" | | 2 | "Aurora's fingers drummed once [once]" | | 3 | "She glanced meaningfully [meaningfully]" | | 4 | "he asked simply [simply]" |
| | dialogueSentences | 86 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.116 | | effectiveRatio | 0.116 | |
| 84.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2259 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "suddenly" | | 3 | "quickly" |
| |
| 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) | |
| 38.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2259 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "carried the weight" | | count | 1 |
| | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "familiar" | | 1 | "flicked" | | 2 | "measured" | | 3 | "tension" | | 4 | "traced" | | 5 | "potential" | | 6 | "fractured" | | 7 | "calculated" | | 8 | "pulse" | | 9 | "flicker" | | 10 | "footsteps" | | 11 | "tracing" | | 12 | "silence" | | 13 | "carried the weight" | | 14 | "structure" | | 15 | "shattered" | | 16 | "whisper" | | 17 | "flickered" | | 18 | "scanning" | | 19 | "weight" | | 20 | "comfortable" | | 21 | "unspoken" | | 22 | "stomach" | | 23 | "raced" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 135 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 135 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2259 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 98 | | wordCount | 1646 | | uniqueNames | 14 | | maxNameDensity | 2.31 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 11 | | Prague | 1 | | Soho | 1 | | Cardiff | 2 | | London | 2 | | Aurora | 38 | | Eva | 32 | | Carter | 1 | | Irish | 1 | | City | 2 | | Evan | 2 | | Seven | 3 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Aurora" | | 3 | "Eva" | | 4 | "Carter" | | 5 | "Evan" |
| | places | | 0 | "Prague" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.346 | | windowScore | 0.333 | |
| 85.34% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 116 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like designer everything" | | 1 | "seemed more pronounced as he moved away again, though Aurora suspected it was deliberate, a way to remind them both of consequences and survival" | | 2 | "smelled like old secrets and fresh blood" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.443 | | wordCount | 2259 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 178 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 27.55 | | std | 13.92 | | cv | 0.505 | | sampleLengths | | 0 | 50 | | 1 | 26 | | 2 | 25 | | 3 | 46 | | 4 | 33 | | 5 | 45 | | 6 | 35 | | 7 | 5 | | 8 | 76 | | 9 | 13 | | 10 | 26 | | 11 | 21 | | 12 | 23 | | 13 | 37 | | 14 | 24 | | 15 | 39 | | 16 | 17 | | 17 | 24 | | 18 | 4 | | 19 | 33 | | 20 | 41 | | 21 | 20 | | 22 | 19 | | 23 | 25 | | 24 | 40 | | 25 | 16 | | 26 | 41 | | 27 | 10 | | 28 | 32 | | 29 | 43 | | 30 | 22 | | 31 | 16 | | 32 | 41 | | 33 | 54 | | 34 | 23 | | 35 | 19 | | 36 | 55 | | 37 | 18 | | 38 | 27 | | 39 | 36 | | 40 | 13 | | 41 | 35 | | 42 | 30 | | 43 | 23 | | 44 | 21 | | 45 | 20 | | 46 | 24 | | 47 | 12 | | 48 | 40 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 135 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 275 | | matches | | 0 | "was brewing" | | 1 | "were, falling" | | 2 | "weren't just entering" | | 3 | "were crossing" |
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| 94.70% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 178 | | ratio | 0.017 | | matches | | 0 | "Her childhood friend's face had sharpened over the years; the round cheeks of their Cardiff days had given way to elegant bones and careful makeup." | | 1 | "The contrast between them felt violent; Aurora in her practical boots and faded jeans, Eva in what looked like designer everything." | | 2 | "Whatever came next, Aurora knew one thing with cold certainty; some doors, once opened, refused to close again." |
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| 98.98% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1652 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 68 | | adverbRatio | 0.04116222760290557 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.012711864406779662 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 12.69 | | std | 6.75 | | cv | 0.532 | | sampleLengths | | 0 | 26 | | 1 | 24 | | 2 | 12 | | 3 | 14 | | 4 | 25 | | 5 | 22 | | 6 | 17 | | 7 | 7 | | 8 | 24 | | 9 | 9 | | 10 | 24 | | 11 | 21 | | 12 | 7 | | 13 | 14 | | 14 | 14 | | 15 | 5 | | 16 | 9 | | 17 | 3 | | 18 | 18 | | 19 | 25 | | 20 | 21 | | 21 | 13 | | 22 | 11 | | 23 | 7 | | 24 | 8 | | 25 | 20 | | 26 | 1 | | 27 | 16 | | 28 | 7 | | 29 | 6 | | 30 | 12 | | 31 | 19 | | 32 | 24 | | 33 | 11 | | 34 | 7 | | 35 | 21 | | 36 | 12 | | 37 | 5 | | 38 | 14 | | 39 | 5 | | 40 | 5 | | 41 | 4 | | 42 | 12 | | 43 | 6 | | 44 | 15 | | 45 | 6 | | 46 | 22 | | 47 | 13 | | 48 | 5 | | 49 | 15 |
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| 64.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4101123595505618 | | totalSentences | 178 | | uniqueOpeners | 73 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 134 | | matches | | 0 | "Instead, Aurora felt only a" | | 1 | "All that running, all those" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 134 | | matches | | 0 | "She shook rain from her" | | 1 | "His hazel eyes flicked toward" | | 2 | "She slid onto the worn" | | 3 | "She took a sip, letting" | | 4 | "He limped two steps to" | | 5 | "She turned slowly." | | 6 | "Her childhood friend's face had" | | 7 | "They stared at each other" | | 8 | "She approached the bar with" | | 9 | "She met Eva's gaze directly" | | 10 | "His limp seemed more pronounced" | | 11 | "She pushed her glass away" | | 12 | "Their arrival shattered the delicate" | | 13 | "she said quickly" | | 14 | "He retreated to his friends" | | 15 | "Her voice stayed steady, but" | | 16 | "She glanced meaningfully toward the" | | 17 | "His limp became more pronounced" | | 18 | "His neatly trimmed beard shifted" | | 19 | "he asked simply, hazel eyes" |
| | ratio | 0.179 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 134 | | matches | | 0 | "Aurora pushed through the heavy" | | 1 | "She shook rain from her" | | 2 | "Silas called from behind the" | | 3 | "His hazel eyes flicked toward" | | 4 | "She slid onto the worn" | | 5 | "Silas poured the whiskey with" | | 6 | "The silver signet ring on" | | 7 | "She took a sip, letting" | | 8 | "He limped two steps to" | | 9 | "The walls around them held" | | 10 | "The door swung open again" | | 11 | "Something that made the hair" | | 12 | "The voice stopped her glass" | | 13 | "She turned slowly." | | 14 | "Eva stood there, water dripping" | | 15 | "Her childhood friend's face had" | | 16 | "The name left her mouth" | | 17 | "They stared at each other" | | 18 | "Eva's gaze moved over her" | | 19 | "Aurora kept her voice level," |
| | ratio | 0.925 | |
| 37.31% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 134 | | matches | | 0 | "Before Aurora could respond, one" |
| | ratio | 0.007 | |
| 11.90% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 11 | | matches | | 0 | "Silas poured the whiskey with the steady hand of a man who had measured out far more dangerous things in his time." | | 1 | "Something that made the hair on her arms rise before her mind caught up." | | 2 | "Eva stood there, water dripping from a red coat that looked far too expensive for the Soho drizzle." | | 3 | "Brendan Carter, the Irish barrister with the voice that could command courtrooms and living rooms alike." | | 4 | "The sound of her wrist snapping as she fell trying to escape through the window." | | 5 | "Aurora studied her friend's transformed face, searching for the girl who'd smuggled cigarettes to her during exam week and held her hair back after too much che…" | | 6 | "The intelligence that had made her a natural at law, despite her resistance, sparked behind them." | | 7 | "The girl who'd helped her escape Evan now sat before her as a woman who'd escaped her own disasters." | | 8 | "The expression held secrets, the kind that came with expensive coats and failed marriages." | | 9 | "His expression held the quiet authority of a man who'd seen too many reunions end in disaster." | | 10 | "She looked back at Aurora, green eyes holding a mixture of hope and calculation that made Aurora's stomach tighten." |
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| 66.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 43 | | uselessAdditionCount | 5 | | matches | | 0 | "Aurora kept, though her pulse hammered against her throat" | | 1 | "Eva leaned, her voice dropping" | | 2 | "Eva shrugged, but the movement carried tension" | | 3 | "Eva leaned, her voice dropping to a conspiratorial whisper" | | 4 | "Her voice stayed, but her scar itched fiercely now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 86 | | tagDensity | 0.081 | | leniency | 0.163 | | rawRatio | 0 | | effectiveRatio | 0 | |