| 37.84% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said suddenly [suddenly]" | | 1 | "Quinn knelt again [again]" | | 2 | "Hale said slowly [slowly]" |
| | dialogueSentences | 37 | | tagDensity | 0.486 | | leniency | 0.973 | | rawRatio | 0.167 | | effectiveRatio | 0.162 | |
| 71.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1039 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "lazily" | | 1 | "suddenly" | | 2 | "perfectly" | | 3 | "slowly" | | 4 | "really" | | 5 | "completely" |
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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) | |
| 47.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1039 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flickered" | | 1 | "chill" | | 2 | "etched" | | 3 | "familiar" | | 4 | "traced" | | 5 | "stomach" | | 6 | "footsteps" | | 7 | "echoing" | | 8 | "unwavering" |
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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 | 1 | | narrationSentences | 66 | | matches | | |
| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1033 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 722 | | uniqueNames | 11 | | maxNameDensity | 2.35 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 17 | | Marcus | 1 | | Hale | 10 | | Morris | 3 | | Thomas | 1 | | Reed | 2 | | Camden | 1 | | Market | 1 | | Aurora | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Marcus" | | 3 | "Hale" | | 4 | "Morris" | | 5 | "Thomas" | | 6 | "Reed" | | 7 | "Aurora" |
| | places | | | globalScore | 0.323 | | windowScore | 0.5 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.968 | | wordCount | 1033 | | matches | | 0 | "not north but toward the darkness beyond the platform's edge" |
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| 87.30% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 84 | | matches | | 0 | "know that heart" | | 1 | "learned that lesson" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 29.51 | | std | 15.57 | | cv | 0.527 | | sampleLengths | | 0 | 49 | | 1 | 43 | | 2 | 40 | | 3 | 32 | | 4 | 10 | | 5 | 51 | | 6 | 46 | | 7 | 29 | | 8 | 53 | | 9 | 6 | | 10 | 3 | | 11 | 40 | | 12 | 3 | | 13 | 50 | | 14 | 8 | | 15 | 31 | | 16 | 32 | | 17 | 14 | | 18 | 39 | | 19 | 40 | | 20 | 18 | | 21 | 54 | | 22 | 24 | | 23 | 11 | | 24 | 24 | | 25 | 26 | | 26 | 22 | | 27 | 40 | | 28 | 30 | | 29 | 18 | | 30 | 59 | | 31 | 32 | | 32 | 19 | | 33 | 24 | | 34 | 13 |
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| 99.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 66 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 147 | | matches | | 0 | "was already moving" | | 1 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 84 | | ratio | 0.083 | | matches | | 0 | "She pulled it free—a compass, its casing green with age, the face etched with symbols that made her skin crawl." | | 1 | "\"—this.\"" | | 2 | "She'd heard the name before—mentioned in passing during her briefing on the missing persons cases that had started appearing six months ago." | | 3 | "Her gloved finger traced a faint scuff mark in the dirt—a boot heel, worn smooth on the inside edge." | | 4 | "Someone had grabbed Reed before he died, held him still while—" | | 5 | "The reports had come in sporadically—witnesses describing lights in the tunnels, strange sounds beneath the city streets." | | 6 | "In that moment, Quinn could swear she heard footsteps echoing from the tunnel—soft, deliberate, and impossibly close." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 365 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.038356164383561646 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.00821917808219178 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 12.3 | | std | 6.8 | | cv | 0.553 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 11 | | 3 | 26 | | 4 | 12 | | 5 | 5 | | 6 | 4 | | 7 | 16 | | 8 | 20 | | 9 | 15 | | 10 | 17 | | 11 | 3 | | 12 | 7 | | 13 | 18 | | 14 | 10 | | 15 | 22 | | 16 | 1 | | 17 | 15 | | 18 | 21 | | 19 | 10 | | 20 | 9 | | 21 | 20 | | 22 | 3 | | 23 | 17 | | 24 | 22 | | 25 | 11 | | 26 | 6 | | 27 | 2 | | 28 | 1 | | 29 | 10 | | 30 | 16 | | 31 | 5 | | 32 | 9 | | 33 | 3 | | 34 | 26 | | 35 | 19 | | 36 | 5 | | 37 | 4 | | 38 | 4 | | 39 | 23 | | 40 | 8 | | 41 | 18 | | 42 | 14 | | 43 | 3 | | 44 | 11 | | 45 | 16 | | 46 | 6 | | 47 | 17 | | 48 | 29 | | 49 | 11 |
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| 84.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5119047619047619 | | totalSentences | 84 | | uniqueOpeners | 43 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Instead, she pulled out her" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 62 | | matches | | 0 | "His breath fogged in the" | | 1 | "Her brown eyes remained fixed" | | 2 | "She pulled it free—a compass," | | 3 | "she asked, holding it up" | | 4 | "Her military bearing kept her" | | 5 | "She gestured to the compass" | | 6 | "She'd heard the name before—mentioned" | | 7 | "she said suddenly" | | 8 | "She'd spent weeks tracking rumors," | | 9 | "Her gloved finger traced a" | | 10 | "Her sharp jaw set with" | | 11 | "She'd learned that lesson the" | | 12 | "She pointed to the compass" | | 13 | "She stood, gun drawn, and" |
| | ratio | 0.226 | |
| 48.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 62 | | matches | | 0 | "The body sat propped against" | | 1 | "Detective Harlow Quinn knelt beside" | | 2 | "The fluorescent light above flickered," | | 3 | "His breath fogged in the" | | 4 | "Quinn didn't look up." | | 5 | "Her brown eyes remained fixed" | | 6 | "She pulled it free—a compass," | | 7 | "she asked, holding it up" | | 8 | "The needle spun lazily before" | | 9 | "Hale shifted uncomfortably." | | 10 | "Quinn stood, tucking the compass" | | 11 | "Her military bearing kept her" | | 12 | "She gestured to the compass" | | 13 | "The detective's worn leather watch" | | 14 | "This felt familiar, like the" | | 15 | "Hale said, his voice quieter" | | 16 | "Quinn stopped moving." | | 17 | "The victim's name was Thomas" | | 18 | "She'd heard the name before—mentioned" | | 19 | "she said suddenly" |
| | ratio | 0.823 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Before he'd died chasing shadows" |
| | ratio | 0.016 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "She pulled it free—a compass, its casing green with age, the face etched with symbols that made her skin crawl." | | 1 | "Three years of investigating cases that defied explanation had taught her to trust patterns, even when the pattern itself was impossible." | | 2 | "She'd heard the name before—mentioned in passing during her briefing on the missing persons cases that had started appearing six months ago." | | 3 | "The detective pulled out her phone, snapping photos of the compass before slipping it back into her pocket." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 4 | | matches | | 0 | "Hale said, his voice quieter now" | | 1 | "Quinn knelt again, this time examining the platform floor" | | 2 | "Hale said slowly, realization dawning" | | 3 | "Quinn looked down, its needle steady as a heartbeat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Hale muttered (mutter)" |
| | dialogueSentences | 37 | | tagDensity | 0.189 | | leniency | 0.378 | | rawRatio | 0.143 | | effectiveRatio | 0.054 | |