| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 3 | | adverbTags | | 0 | "she called again [again]" | | 1 | "His hand tightened around [around]" | | 2 | "the woman said softly [softly]" |
| | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.3 | | effectiveRatio | 0.231 | |
| 83.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1220 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "carefully" | | 2 | "really" | | 3 | "softly" |
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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) | |
| 5.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1220 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "fractured" | | 1 | "pulse" | | 2 | "quickened" | | 3 | "glinting" | | 4 | "echo" | | 5 | "familiar" | | 6 | "weight" | | 7 | "trembled" | | 8 | "intricate" | | 9 | "etched" | | 10 | "raced" | | 11 | "chilling" | | 12 | "flicked" | | 13 | "pounding" | | 14 | "loomed" | | 15 | "echoed" | | 16 | "silk" | | 17 | "velvet" | | 18 | "perfect" | | 19 | "depths" |
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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 | 108 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 108 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1203 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1095 | | uniqueNames | 6 | | maxNameDensity | 0.91 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 10 | | Quinn | 1 | | Soho | 1 | | Morris | 3 | | Rainwater | 1 | | Rain | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Rainwater" | | 4 | "Rain" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 88.27% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 2 | | matches | | 0 | "symbols that seemed to writhe under the flickering streetlight" | | 1 | "as if reacting to some unseen force" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.494 | | wordCount | 1203 | | matches | | 0 | "not from fear, but something else" | | 1 | "Not at her, but toward the box" | | 2 | "not a suspect, but a man broken by choices he couldn’t undo" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 29.34 | | std | 18.83 | | cv | 0.642 | | sampleLengths | | 0 | 76 | | 1 | 52 | | 2 | 65 | | 3 | 54 | | 4 | 61 | | 5 | 22 | | 6 | 21 | | 7 | 33 | | 8 | 13 | | 9 | 61 | | 10 | 10 | | 11 | 25 | | 12 | 19 | | 13 | 30 | | 14 | 47 | | 15 | 57 | | 16 | 24 | | 17 | 34 | | 18 | 13 | | 19 | 12 | | 20 | 5 | | 21 | 12 | | 22 | 25 | | 23 | 14 | | 24 | 52 | | 25 | 8 | | 26 | 13 | | 27 | 31 | | 28 | 16 | | 29 | 9 | | 30 | 35 | | 31 | 43 | | 32 | 37 | | 33 | 40 | | 34 | 2 | | 35 | 47 | | 36 | 13 | | 37 | 17 | | 38 | 11 | | 39 | 16 | | 40 | 28 |
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| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 108 | | matches | | 0 | "was obscured" | | 1 | "were struck" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 202 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 1 | | flaggedSentences | 16 | | totalSentences | 124 | | ratio | 0.129 | | matches | | 0 | "She pivoted sharply, catching sight of a figure darting between alley mouths—dark coat, hood pulled low, moving with practiced urgency." | | 1 | "Her pulse quickened; the silhouette matched the one she’d seen earlier in the evidence room, the one whose fingerprints lingered on a vial of stolen blood." | | 2 | "Its cracked face still marked the time of DS Morris’s disappearance—three years ago, under circumstances that refused to settle into anything resembling closure." | | 3 | "The stench of mildew mixed with something sharper—metal, maybe, or ozone." | | 4 | "Then—a sharp intake of breath, a scuffle." | | 5 | "He held something in his hand—a small, ornate box wrapped in oilcloth." | | 6 | "She noticed the way his fingers trembled—not from fear, but something else." | | 7 | "A flash of light—gold, intricate filigree—caught her gaze." | | 8 | "Somewhere distant, a siren wailed—a lonely cry swallowed by the storm." | | 9 | "Inside lay a single photograph—blurred by water but unmistakable." | | 10 | "The child’s face—familiar, yet impossible." | | 11 | "Harlow’s gaze flicked to the distant glow of the underground market ahead—neon signs flickering like dying stars." | | 12 | "She looked at him—really looked—and saw not a suspect, but a man broken by choices he couldn’t undo." | | 13 | "As she pushed it open, the air shifted—thick with incense and something older, something that clawed at the edges of her mind." | | 14 | "The scent of spices mixed with something darker—blood, maybe, or regret." | | 15 | "Then, from the far end of the market, a sound stopped her cold—a child’s laughter, bright and clear, cutting through the murmur like a blade." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1113 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.03504043126684636 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.012578616352201259 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 9.7 | | std | 5.71 | | cv | 0.588 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 20 | | 3 | 26 | | 4 | 10 | | 5 | 14 | | 6 | 4 | | 7 | 24 | | 8 | 12 | | 9 | 23 | | 10 | 11 | | 11 | 19 | | 12 | 10 | | 13 | 12 | | 14 | 11 | | 15 | 5 | | 16 | 16 | | 17 | 8 | | 18 | 7 | | 19 | 7 | | 20 | 5 | | 21 | 12 | | 22 | 10 | | 23 | 12 | | 24 | 7 | | 25 | 15 | | 26 | 5 | | 27 | 11 | | 28 | 5 | | 29 | 17 | | 30 | 12 | | 31 | 2 | | 32 | 2 | | 33 | 8 | | 34 | 5 | | 35 | 8 | | 36 | 8 | | 37 | 21 | | 38 | 24 | | 39 | 8 | | 40 | 2 | | 41 | 3 | | 42 | 3 | | 43 | 9 | | 44 | 7 | | 45 | 3 | | 46 | 7 | | 47 | 5 | | 48 | 7 | | 49 | 6 |
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| 58.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3790322580645161 | | totalSentences | 124 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 100 | | matches | | 0 | "Instead, he glanced back once," | | 1 | "Then—a sharp intake of breath," | | 2 | "Somewhere distant, a siren wailed—a" | | 3 | "Then, without warning, he lunged." | | 4 | "Then, from the far end" | | 5 | "Somewhere, a clock struck midnight." |
| | ratio | 0.06 | |
| 76.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 100 | | matches | | 0 | "She pivoted sharply, catching sight" | | 1 | "Her pulse quickened; the silhouette" | | 2 | "she shouted, voice slicing through" | | 3 | "Its cracked face still marked" | | 4 | "She tightened her grip on" | | 5 | "She ducked beneath a sagging" | | 6 | "Her breath came shallow, controlled." | | 7 | "She could hear him now," | | 8 | "she called again, louder this" | | 9 | "He held something in his" | | 10 | "she demanded, stepping closer" | | 11 | "Her voice remained steady, but" | | 12 | "He laughed, a brittle sound." | | 13 | "His hand tightened around the" | | 14 | "She noticed the way his" | | 15 | "she urged, eyes locked onto" | | 16 | "He hesitated, then reached into" | | 17 | "She recognized them from the" | | 18 | "he muttered, voice cracking" | | 19 | "She took another step forward," |
| | ratio | 0.36 | |
| 40.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 100 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed" | | 1 | "Rain drummed on the corrugated" | | 2 | "She pivoted sharply, catching sight" | | 3 | "Her pulse quickened; the silhouette" | | 4 | "she shouted, voice slicing through" | | 5 | "The words ricocheted off brick" | | 6 | "The suspect didn’t slow." | | 7 | "Harlow’s hand flew to the" | | 8 | "Its cracked face still marked" | | 9 | "She tightened her grip on" | | 10 | "Every step down the alley" | | 11 | "The passage narrowed, walls slick" | | 12 | "She ducked beneath a sagging" | | 13 | "The stench of mildew mixed" | | 14 | "Her breath came shallow, controlled." | | 15 | "She could hear him now," | | 16 | "she called again, louder this" | | 17 | "The echo bounced back, hollow" | | 18 | "Something shifted in the darkness." | | 19 | "Harlow drew her sidearm, fingers" |
| | ratio | 0.84 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed through puddles that reflected the fractured glow of Soho’s neon." | | 1 | "Its cracked face still marked the time of DS Morris’s disappearance—three years ago, under circumstances that refused to settle into anything resembling closure…" | | 2 | "Every step down the alley felt heavier, as if the rain itself pressed down on her shoulders, demanding answers." | | 3 | "The box was older than the city itself, its surface etched with symbols that seemed to writhe under the flickering streetlight." | | 4 | "Rain hammered harder now, a relentless rhythm that drowned out everything but the pounding of her heart." | | 5 | "As she pushed it open, the air shifted—thick with incense and something older, something that clawed at the edges of her mind." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 4 | | matches | | 0 | "she shouted, voice slicing through the wet night air" | | 1 | "she urged, eyes locked onto his" | | 2 | "he muttered, voice cracking" | | 3 | "she asked, voice low" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 6 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she demanded (demand)" | | 2 | "she urged (urge)" | | 3 | "he muttered (mutter)" | | 4 | "he whispered (whisper)" | | 5 | "she breathed (breathe)" |
| | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.667 | | effectiveRatio | 0.462 | |