| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1225 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "gently" | | 2 | "completely" | | 3 | "very" |
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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) | |
| 42.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1225 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "fleeting" | | 1 | "gleaming" | | 2 | "scanned" | | 3 | "pounding" | | 4 | "profound" | | 5 | "silence" | | 6 | "intricate" | | 7 | "electric" | | 8 | "constructed" | | 9 | "hulking" | | 10 | "velvet" | | 11 | "echoing" |
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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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1213 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1044 | | uniqueNames | 14 | | maxNameDensity | 0.77 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 8 | | Morris | 2 | | Victorian | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Spanish | 1 | | Tomás | 3 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Spanish" | | 6 | "Tomás" | | 7 | "Raven" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 2 | | matches | | 0 | "light down the seemingly endless tunnel" | | 1 | "looked like pity" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.824 | | wordCount | 1213 | | matches | | 0 | "not with commuters, but with a shifting, murmuring throng" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 37.91 | | std | 24.69 | | cv | 0.651 | | sampleLengths | | 0 | 67 | | 1 | 58 | | 2 | 41 | | 3 | 2 | | 4 | 59 | | 5 | 5 | | 6 | 46 | | 7 | 26 | | 8 | 69 | | 9 | 61 | | 10 | 46 | | 11 | 3 | | 12 | 84 | | 13 | 25 | | 14 | 77 | | 15 | 59 | | 16 | 15 | | 17 | 9 | | 18 | 56 | | 19 | 9 | | 20 | 33 | | 21 | 7 | | 22 | 42 | | 23 | 27 | | 24 | 44 | | 25 | 79 | | 26 | 33 | | 27 | 27 | | 28 | 12 | | 29 | 63 | | 30 | 26 | | 31 | 3 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 92 | | matches | | 0 | "was gone" | | 1 | "was tied" | | 2 | "were lined" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 182 | | matches | (empty) | |
| 2.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 102 | | ratio | 0.049 | | matches | | 0 | "She’d been tailing him for an hour, this lanky kid who’d been acting as a courier for a smuggling ring she was sure was a front for something else—something that smelled of the strange, unexplained phenomena that had haunted the edges of her career." | | 1 | "Then she saw it—a faint scuff mark on the pavement leading to a heavy, rusted manhole cover that was slightly ajar." | | 2 | "The air grew thick, heavy with the smell of damp earth, ozone, and something else—sandalwood and copper." | | 3 | "Detective Quinn recognized her immediately from the briefing packets—a high-ranking officer from a different, specialized unit." | | 4 | "This wasn’t just a smuggling ring; it was an inside job, tangled up with the very supernatural forces the department officially denied." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 380 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.02368421052631579 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.010526315789473684 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 11.89 | | std | 7.69 | | cv | 0.646 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 17 | | 3 | 19 | | 4 | 44 | | 5 | 14 | | 6 | 9 | | 7 | 11 | | 8 | 16 | | 9 | 5 | | 10 | 2 | | 11 | 9 | | 12 | 13 | | 13 | 21 | | 14 | 16 | | 15 | 3 | | 16 | 2 | | 17 | 15 | | 18 | 15 | | 19 | 16 | | 20 | 8 | | 21 | 8 | | 22 | 10 | | 23 | 13 | | 24 | 22 | | 25 | 17 | | 26 | 17 | | 27 | 14 | | 28 | 18 | | 29 | 19 | | 30 | 10 | | 31 | 12 | | 32 | 5 | | 33 | 12 | | 34 | 8 | | 35 | 9 | | 36 | 3 | | 37 | 8 | | 38 | 11 | | 39 | 16 | | 40 | 19 | | 41 | 30 | | 42 | 5 | | 43 | 16 | | 44 | 4 | | 45 | 4 | | 46 | 3 | | 47 | 2 | | 48 | 6 | | 49 | 13 |
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| 51.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3627450980392157 | | totalSentences | 102 | | uniqueOpeners | 37 | |
| 74.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 89 | | matches | | 0 | "Then she saw it—a faint" | | 1 | "Instead of concrete and graffiti," |
| | ratio | 0.022 | |
| 67.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 89 | | matches | | 0 | "Her leather-soled shoes slipped on" | | 1 | "She’d been tailing him for" | | 2 | "He cut into an alleyway" | | 3 | "She scanned the grimy walls," | | 4 | "Her radio crackled." | | 5 | "She keyed the mic, her" | | 6 | "She didn’t specify" | | 7 | "Her superiors had made it" | | 8 | "She holstered the radio and" | | 9 | "It felt slick and grimy" | | 10 | "She descended into a profound" | | 11 | "She dropped the last few" | | 12 | "She was in a maintenance" | | 13 | "Her breath caught." | | 14 | "She’d heard the whispers, dismissed" | | 15 | "Her training kicked in." | | 16 | "Her sharp eyes scanned the" | | 17 | "He glanced back once, his" | | 18 | "She knew it in her" | | 19 | "She took a step forward," |
| | ratio | 0.382 | |
| 44.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 89 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn’s lungs burned," | | 2 | "Her leather-soled shoes slipped on" | | 3 | "She’d been tailing him for" | | 4 | "The same scent that had" | | 5 | "He cut into an alleyway" | | 6 | "Quinn followed, her hand hovering" | | 7 | "The alley was a dead" | | 8 | "She scanned the grimy walls," | | 9 | "A rivulet of cold water" | | 10 | "A length of greasy rope" | | 11 | "Her radio crackled." | | 12 | "She keyed the mic, her" | | 13 | "She didn’t specify" | | 14 | "Her superiors had made it" | | 15 | "She holstered the radio and" | | 16 | "It felt slick and grimy" | | 17 | "The world above, with its" | | 18 | "She descended into a profound" | | 19 | "The air grew thick, heavy" |
| | ratio | 0.831 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 89 | | matches | | 0 | "To follow him was to" | | 1 | "To go forward was to" | | 2 | "To go back up the" |
| | ratio | 0.034 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "Detective Harlow Quinn’s lungs burned, each breath a ragged gasp that fogged in the chilly air." | | 1 | "She’d been tailing him for an hour, this lanky kid who’d been acting as a courier for a smuggling ring she was sure was a front for something else—something tha…" | | 2 | "She’d heard the whispers, dismissed them as the ramblings of informants who’d smoked something too strong." | | 3 | "She spun, wrenching her arm free, her weapon coming up halfway before she registered the man standing before her." | | 4 | "To go back up the rope was to return to a life of sanctioned ignorance, to the ghost of her partner that would never be laid to rest." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |