| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1266 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 24.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1266 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "thundered" | | 1 | "jaw clenched" | | 2 | "throbbed" | | 3 | "glint" | | 4 | "shimmered" | | 5 | "footsteps" | | 6 | "flicker" | | 7 | "echoed" | | 8 | "traced" | | 9 | "pulse" | | 10 | "flicked" | | 11 | "silk" | | 12 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 84 | | matches | (empty) | |
| 57.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | 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 | 1233 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.19% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1106 | | uniqueNames | 17 | | maxNameDensity | 1.36 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Herrera" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 15 | | Berwick | 1 | | Street | 1 | | Camden | 1 | | Town | 1 | | Closed | 1 | | Maintenance | 1 | | Morris | 1 | | Raven | 1 | | Nest | 1 | | Seville | 1 | | Market | 3 | | Herrera | 7 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Town" | | 3 | "Morris" | | 4 | "Raven" | | 5 | "Market" | | 6 | "Herrera" | | 7 | "Saint" | | 8 | "Christopher" |
| | places | | 0 | "Berwick" | | 1 | "Street" | | 2 | "Seville" |
| | globalScore | 0.822 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | 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 | 1233 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 38.53 | | std | 22.24 | | cv | 0.577 | | sampleLengths | | 0 | 80 | | 1 | 47 | | 2 | 81 | | 3 | 29 | | 4 | 52 | | 5 | 48 | | 6 | 82 | | 7 | 23 | | 8 | 63 | | 9 | 7 | | 10 | 75 | | 11 | 43 | | 12 | 63 | | 13 | 51 | | 14 | 18 | | 15 | 58 | | 16 | 14 | | 17 | 29 | | 18 | 29 | | 19 | 15 | | 20 | 20 | | 21 | 35 | | 22 | 57 | | 23 | 26 | | 24 | 8 | | 25 | 32 | | 26 | 22 | | 27 | 44 | | 28 | 16 | | 29 | 28 | | 30 | 5 | | 31 | 33 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 84 | | matches | | 0 | "got swallowed" | | 1 | "was carved" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 187 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 1 | | flaggedSentences | 15 | | totalSentences | 90 | | ratio | 0.167 | | matches | | 0 | "The street forked—one alley, brickwork slick with rain, veered downhill; the other arched under a construction awning, shadowed and empty." | | 1 | "Her quarry—a man, sharp-jacketed, white trainers—half-glanced back, a glint from a wet collar, before darting left." | | 2 | "Her breath slowed—a deliberate, soldier’s inhale—and she edged toward the stairway." | | 3 | "Faded lettering arched over the entrance: Camden Town—Closed For Maintenance." | | 4 | "Every instinct in her bones itched—don’t go in alone, wait for backup, think of Morris—but the shock of rain in her eyes, the burn of memory, the white-hot certainty that this man mattered, propelled her down." | | 5 | "Quinn flattened herself into the wall’s shadow and watched him fumble inside his jacket, producing something—round, bone-pale, strung on a chain." | | 6 | "Light—sickly yellow—spun in ripples, and a slice of wall slid open to reveal a jagged gap just wide enough for a man to slip through." | | 7 | "She moved—quick, silent." | | 8 | "Inside, pressure changed—heavier, laced with the pulse of dozens of bodies." | | 9 | "She pressed herself behind a rotting column, fingers brushing the edge of a map stuck to the tile—veins of tunnels, all false except for the chalk mark someone had slashed in the upper corner." | | 10 | "Go loud—arrest and chaos—or shadow him deeper, trusting in the edge that had always saved her before." | | 11 | "“If I worked for him, you’d be bleeding already.” He nodded, subtle, toward the path the suspect now threaded—toward a heavy iron door manned by three ducked heads, faces blank as new paper." | | 12 | "Beyond that door, she knew, lurked things she’d only half believed—the sort of secrets that twisted simple murder into something else." | | 13 | "He lifted a hand, tapping the hilt of a blade tucked against his belt—a warning, sharp as glass." | | 14 | "Herrera slipped his hand into a coat pocket, then pressed a cold circle into her palm—a bone token, old, carved with a pattern she recognised only from nightmares." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 589 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.023769100169779286 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0050933786078098476 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 13.7 | | std | 8.83 | | cv | 0.644 | | sampleLengths | | 0 | 12 | | 1 | 23 | | 2 | 27 | | 3 | 18 | | 4 | 9 | | 5 | 20 | | 6 | 2 | | 7 | 16 | | 8 | 2 | | 9 | 8 | | 10 | 16 | | 11 | 29 | | 12 | 26 | | 13 | 13 | | 14 | 5 | | 15 | 11 | | 16 | 10 | | 17 | 10 | | 18 | 9 | | 19 | 14 | | 20 | 9 | | 21 | 7 | | 22 | 1 | | 23 | 4 | | 24 | 36 | | 25 | 2 | | 26 | 20 | | 27 | 21 | | 28 | 11 | | 29 | 3 | | 30 | 25 | | 31 | 5 | | 32 | 14 | | 33 | 4 | | 34 | 3 | | 35 | 8 | | 36 | 19 | | 37 | 19 | | 38 | 14 | | 39 | 7 | | 40 | 11 | | 41 | 7 | | 42 | 27 | | 43 | 14 | | 44 | 16 | | 45 | 13 | | 46 | 30 | | 47 | 6 | | 48 | 11 | | 49 | 34 |
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| 73.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4666666666666667 | | totalSentences | 90 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 78 | | matches | | 0 | "Somewhere back the siren’s wail" | | 1 | "Light—sickly yellow—spun in ripples, and" | | 2 | "Only her badge and the" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 78 | | matches | | 0 | "Her breath clouded in the" | | 1 | "Her quarry—a man, sharp-jacketed, white" | | 2 | "He reached a battered set" | | 3 | "Her breath slowed—a deliberate, soldier’s" | | 4 | "She thumbed the radio at" | | 5 | "Her quarry hurtled through a" | | 6 | "He pressed it against the" | | 7 | "He hadn’t seen her." | | 8 | "She moved—quick, silent." | | 9 | "He cut through a group" | | 10 | "She pressed herself behind a" | | 11 | "She checked her watch." | | 12 | "He glanced toward the suspect," | | 13 | "Her eyes tracked the suspect" | | 14 | "Her eyes narrowed" | | 15 | "He nodded, subtle, toward the" | | 16 | "She forced herself to look" | | 17 | "she muttered, not caring if" | | 18 | "His shoulders shifted" | | 19 | "He lifted a hand, tapping" |
| | ratio | 0.269 | |
| 56.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 78 | | matches | | 0 | "Puddles split under boots as" | | 1 | "Her breath clouded in the" | | 2 | "Quinn rounded the kerb and" | | 3 | "The street forked—one alley, brickwork" | | 4 | "Her quarry—a man, sharp-jacketed, white" | | 5 | "The alley stank of rot" | | 6 | "Litter clung to locked bike" | | 7 | "Quinn tuned out the ache" | | 8 | "He reached a battered set" | | 9 | "Quinn dropped onto the slick" | | 10 | "A flicker of movement below." | | 11 | "Her breath slowed—a deliberate, soldier’s" | | 12 | "Quinn swept the beam of" | | 13 | "Water thread the black ironwork" | | 14 | "The city above grew muffled," | | 15 | "The suspect’s ragged breathing echoed" | | 16 | "She thumbed the radio at" | | 17 | "Every instinct in her bones" | | 18 | "Her quarry hurtled through a" | | 19 | "Quinn flattened herself into the" |
| | ratio | 0.808 | |
| 64.10% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 78 | | matches | | | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 1 | | matches | | 0 | "He glanced toward the suspect, then met her gaze with the weight of someone who’d stitched up too many bullet wounds to be surprised by a little blood." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, not caring if Herrera caught the edge in her voice," |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Voice low (voice)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 15 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 1 | | effectiveRatio | 0.267 | |