| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "she called softly [softly]" |
| | dialogueSentences | 36 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.25 | | effectiveRatio | 0.111 | |
| 71.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1044 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "slowly" | | 1 | "softly" | | 2 | "deliberately" | | 3 | "carefully" |
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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) | |
| 32.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1044 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "jaw clenched" | | 1 | "silence" | | 2 | "echo" | | 3 | "footsteps" | | 4 | "flicked" | | 5 | "pristine" | | 6 | "glint" | | 7 | "echoed" | | 8 | "pulse" | | 9 | "flicker" | | 10 | "etched" | | 11 | "raced" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 71 | | matches | (empty) | |
| 62.37% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1029 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 706 | | uniqueNames | 7 | | maxNameDensity | 1.98 | | worstName | "Reid" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Reid" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 10 | | Detective | 2 | | Marcus | 1 | | Reid | 14 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Detective" | | 4 | "Marcus" | | 5 | "Reid" |
| | places | (empty) | | globalScore | 0.508 | | windowScore | 0.5 | |
| 38.89% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 2 | | matches | | 0 | "It was as if it had been painted on, deliberately placed" | | 1 | "quite match the flickering light" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.972 | | wordCount | 1029 | | matches | | 0 | "not to a way out, but toward an unseen rift, a portal of sorts" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 24.5 | | std | 12.92 | | cv | 0.527 | | sampleLengths | | 0 | 68 | | 1 | 15 | | 2 | 18 | | 3 | 35 | | 4 | 22 | | 5 | 10 | | 6 | 36 | | 7 | 42 | | 8 | 17 | | 9 | 34 | | 10 | 31 | | 11 | 16 | | 12 | 28 | | 13 | 42 | | 14 | 20 | | 15 | 13 | | 16 | 14 | | 17 | 12 | | 18 | 30 | | 19 | 42 | | 20 | 13 | | 21 | 32 | | 22 | 5 | | 23 | 11 | | 24 | 24 | | 25 | 32 | | 26 | 19 | | 27 | 35 | | 28 | 26 | | 29 | 28 | | 30 | 30 | | 31 | 46 | | 32 | 37 | | 33 | 7 | | 34 | 6 | | 35 | 19 | | 36 | 7 | | 37 | 22 | | 38 | 33 | | 39 | 17 | | 40 | 12 | | 41 | 23 |
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| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 71 | | matches | | 0 | "been told" | | 1 | "been painted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 98 | | ratio | 0.092 | | matches | | 0 | "She gestured for the small figure waiting near the station's edge—her partner, Detective Marcus Reid." | | 1 | "\"Nothing about this makes sense.\" Quinn studied the scene—no signs of forced entry or struggle, yet the small pool of dried blood congealed on the concrete, darkening the grime." | | 2 | "Inside, the scene was eerily pristine—no signs of chaos, no signs of typical violence." | | 3 | "A faint scent wafted from the air—something metallic, but layered with a strange, charred undertone." | | 4 | "She followed his gaze—marked faintly into the dust, a series of jagged grooves." | | 5 | "More like claw marks—sharp and irregular, as if something had scraped or dragged itself across the floor." | | 6 | "The shadows seemed to pulse with a life of their own—shadows that didn’t quite match the flickering light." | | 7 | "In a narrow corridor, she spotted a faint flicker—like something shimmering just out of sight." | | 8 | "Quinn’s mind raced through every piece of evidence—the blood, the claw marks, the compass." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 719 | | adjectiveStacks | 2 | | stackExamples | | 0 | "beneath close-cropped salt-" | | 1 | "cool, dust-choked air." |
| | adverbCount | 25 | | adverbRatio | 0.03477051460361613 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.016689847009735744 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 10.5 | | std | 6.85 | | cv | 0.652 | | sampleLengths | | 0 | 20 | | 1 | 17 | | 2 | 23 | | 3 | 8 | | 4 | 15 | | 5 | 9 | | 6 | 9 | | 7 | 29 | | 8 | 6 | | 9 | 6 | | 10 | 16 | | 11 | 6 | | 12 | 4 | | 13 | 21 | | 14 | 15 | | 15 | 14 | | 16 | 23 | | 17 | 5 | | 18 | 6 | | 19 | 11 | | 20 | 6 | | 21 | 12 | | 22 | 11 | | 23 | 5 | | 24 | 7 | | 25 | 24 | | 26 | 8 | | 27 | 8 | | 28 | 4 | | 29 | 24 | | 30 | 7 | | 31 | 17 | | 32 | 18 | | 33 | 4 | | 34 | 16 | | 35 | 5 | | 36 | 8 | | 37 | 3 | | 38 | 3 | | 39 | 8 | | 40 | 4 | | 41 | 8 | | 42 | 15 | | 43 | 4 | | 44 | 11 | | 45 | 15 | | 46 | 13 | | 47 | 14 | | 48 | 9 | | 49 | 4 |
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| 68.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.42857142857142855 | | totalSentences | 98 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 65 | | matches | | 0 | "More like claw marks—sharp and" | | 1 | "Slowly, she moved toward the" |
| | ratio | 0.031 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 65 | | matches | | 0 | "Her sharp jaw clenched beneath" | | 1 | "She gestured for the small" | | 2 | "They moved into the station" | | 3 | "She tapped her finger against" | | 4 | "She paused, eyes drifting toward" | | 5 | "She reached into her coat" | | 6 | "She’d been told before to" | | 7 | "she said softly" | | 8 | "He looked at her, surprised." | | 9 | "Her voice dropped." | | 10 | "She studied the bloodstain again," | | 11 | "It was as if it" | | 12 | "She stepped closer and reached" | | 13 | "She followed his gaze—marked faintly" | | 14 | "She crouched, studied the grooves" | | 15 | "It wasn’t just the absence" | | 16 | "It felt like a warning." | | 17 | "Her instincts sharpened." | | 18 | "She motioned for Reid to" | | 19 | "Its face, etched with protective" |
| | ratio | 0.4 | |
| 21.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 65 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn pulled up" | | 2 | "Her sharp jaw clenched beneath" | | 3 | "She gestured for the small" | | 4 | "Reid brushed stray hair from" | | 5 | "Quinn studied the scene—no signs" | | 6 | "Reid nodded toward the tunnel" | | 7 | "Quinn muttered, her eyes narrowing" | | 8 | "They moved into the station" | | 9 | "The air grew colder, the" | | 10 | "A thin web of dried" | | 11 | "Reid crouched near the blood," | | 12 | "Quinn kneelt and looked closer" | | 13 | "The bloodstain had irregular edges," | | 14 | "She tapped her finger against" | | 15 | "Reid straightened, brushing dirt from" | | 16 | "Quinn circled the area slowly," | | 17 | "Reid shook his head." | | 18 | "She paused, eyes drifting toward" | | 19 | "She reached into her coat" |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "The air grew colder, the flickering lights casting unsettling shadows that flicked like living things." | | 1 | "More like claw marks—sharp and irregular, as if something had scraped or dragged itself across the floor." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn muttered, her eyes narrowing" |
| |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "Quinn murmured (murmur)" | | 2 | "she agreed (agree)" |
| | dialogueSentences | 36 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.5 | | effectiveRatio | 0.167 | |