| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1286 | | 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) | |
| 30.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1286 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "glistening" | | 3 | "flicker" | | 4 | "gloom" | | 5 | "footsteps" | | 6 | "echoing" | | 7 | "glint" | | 8 | "stomach" | | 9 | "depths" | | 10 | "pulsed" | | 11 | "flicked" | | 12 | "traced" | | 13 | "porcelain" | | 14 | "shimmered" | | 15 | "could feel" | | 16 | "loomed" |
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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 | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 119 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1272 | | ratio | 0.002 | | matches | | 0 | "people" | | 1 | "real" | | 2 | "anywhere" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1115 | | uniqueNames | 11 | | maxNameDensity | 1.08 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 12 | | Raven | 1 | | Nest | 2 | | Morris | 3 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 10 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Herrera" |
| | places | | | globalScore | 0.962 | | windowScore | 0.833 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 2 | | matches | | 0 | "something like fear" | | 1 | "as if bowing to her presence" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1272 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 133 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 31.02 | | std | 18.46 | | cv | 0.595 | | sampleLengths | | 0 | 75 | | 1 | 54 | | 2 | 60 | | 3 | 45 | | 4 | 40 | | 5 | 58 | | 6 | 42 | | 7 | 57 | | 8 | 51 | | 9 | 36 | | 10 | 38 | | 11 | 5 | | 12 | 15 | | 13 | 18 | | 14 | 12 | | 15 | 9 | | 16 | 37 | | 17 | 33 | | 18 | 38 | | 19 | 8 | | 20 | 24 | | 21 | 27 | | 22 | 11 | | 23 | 57 | | 24 | 6 | | 25 | 13 | | 26 | 3 | | 27 | 43 | | 28 | 37 | | 29 | 11 | | 30 | 29 | | 31 | 56 | | 32 | 38 | | 33 | 26 | | 34 | 11 | | 35 | 30 | | 36 | 47 | | 37 | 25 | | 38 | 10 | | 39 | 29 | | 40 | 8 |
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| 90.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 119 | | matches | | 0 | "been unlocked" | | 1 | "being demanded" | | 2 | "been pressed" | | 3 | "was gone" | | 4 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 187 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 133 | | ratio | 0.068 | | matches | | 0 | "She’d lost sight of the suspect for a heartbeat, but the trail was fresh—muddy footprints, the scent of damp wool and something sharper, metallic." | | 1 | "She caught movement—just a flicker—before the suspect ducked into a side door, the kind that shouldn’t have been unlocked." | | 2 | "Stale air hit her, thick with the stink of old beer and something else—earth, damp stone, the faint tang of ozone." | | 3 | "She’d chased perps into worse, but this—this felt different." | | 4 | "The beam caught the glint of something on the ground—a bone token, carved with symbols she didn’t recognise." | | 5 | "The suspect—tall, gaunt, his coat flapping as he wove through the crowd." | | 6 | "The suspect—if he even was that anymore—vanished around a bend, swallowed by the market’s depths." | | 7 | "But the detective in her—the one that had spent three years chasing ghosts—knew she couldn’t." | | 8 | "She’d spent years chasing the truth, only to find that the truth was bigger—and darker—than she’d ever imagined." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 989 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.027300303336703743 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0010111223458038423 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 9.56 | | std | 5.74 | | cv | 0.6 | | sampleLengths | | 0 | 16 | | 1 | 17 | | 2 | 18 | | 3 | 24 | | 4 | 15 | | 5 | 4 | | 6 | 16 | | 7 | 1 | | 8 | 18 | | 9 | 10 | | 10 | 9 | | 11 | 19 | | 12 | 8 | | 13 | 14 | | 14 | 10 | | 15 | 8 | | 16 | 21 | | 17 | 3 | | 18 | 3 | | 19 | 5 | | 20 | 10 | | 21 | 6 | | 22 | 9 | | 23 | 10 | | 24 | 2 | | 25 | 5 | | 26 | 13 | | 27 | 18 | | 28 | 3 | | 29 | 7 | | 30 | 10 | | 31 | 8 | | 32 | 3 | | 33 | 7 | | 34 | 13 | | 35 | 11 | | 36 | 10 | | 37 | 8 | | 38 | 20 | | 39 | 11 | | 40 | 8 | | 41 | 4 | | 42 | 12 | | 43 | 11 | | 44 | 11 | | 45 | 13 | | 46 | 2 | | 47 | 9 | | 48 | 11 | | 49 | 14 |
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| 43.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.24242424242424243 | | totalSentences | 132 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 111 | | matches | | 0 | "Too late for honest folk" | | 1 | "Somewhere beneath it." | | 2 | "Then she saw him." | | 3 | "Then she saw it." | | 4 | "Then she stepped through." |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 111 | | matches | | 0 | "She’d lost sight of the" | | 1 | "She veered left, her leather" | | 2 | "She caught movement—just a flicker—before" | | 3 | "She drew her torch, the" | | 4 | "She’d chased perps into worse," | | 5 | "She descended, one hand trailing" | | 6 | "Her stomach twisted." | | 7 | "She’d seen one before, in" | | 8 | "He’d had it in his" | | 9 | "She’d heard whispers of it" | | 10 | "He glanced over his shoulder," | | 11 | "She spun, torch flashing up" | | 12 | "Her free hand went to" | | 13 | "She jerked her chin toward" | | 14 | "She’d chased a man into" | | 15 | "She crouched, picking up the" | | 16 | "It was warm, as if" | | 17 | "She could turn back." | | 18 | "she asked, voice low" | | 19 | "She’d thought it was just" |
| | ratio | 0.234 | |
| 36.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 111 | | matches | | 0 | "The rain hammered the pavement," | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "The green glow of The" | | 3 | "She’d lost sight of the" | | 4 | "A figure darted past the" | | 5 | "Quinn’s pulse kicked up." | | 6 | "She veered left, her leather" | | 7 | "The alley narrowed, the walls" | | 8 | "A fire escape groaned overhead," | | 9 | "She caught movement—just a flicker—before" | | 10 | "Quinn slowed, pressing her back" | | 11 | "The door was ajar, a" | | 12 | "She drew her torch, the" | | 13 | "The door creaked as she" | | 14 | "The stairs descended into blackness." | | 15 | "Quinn’s fingers tightened around the" | | 16 | "She’d chased perps into worse," | | 17 | "The air hummed, like the" | | 18 | "Footsteps, echoing up the stairwell." | | 19 | "She descended, one hand trailing" |
| | ratio | 0.847 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 1 | | matches | | 0 | "A gust of wind howled through the gap, carrying the scent of rain and something older, something that made her bones ache." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, voice low" | | 1 | "The stalls gave way, their eyes reflecting the dim light like animals’" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 0 | | effectiveRatio | 0 | |