| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.34 | | leniency | 0.68 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1583 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 77.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1583 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "chill" | | 1 | "echoing" | | 2 | "glint" | | 3 | "etched" | | 4 | "velvet" | | 5 | "resonated" | | 6 | "silence" |
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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 | 117 | | matches | (empty) | |
| 94.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 117 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1569 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1251 | | uniqueNames | 19 | | maxNameDensity | 1.12 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Victorian-era | 1 | | Harlow | 1 | | Quinn | 14 | | Marcus | 5 | | Webb | 7 | | Lyle | 1 | | Golden | 1 | | Syrup | 1 | | Player | 1 | | Please | 1 | | London | 1 | | Kentish | 1 | | Town | 1 | | Park | 9 | | Veil | 2 | | Market | 2 | | Jars | 1 | | Silence | 1 | | Morris | 3 |
| | persons | | 0 | "Victorian-era" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Marcus" | | 4 | "Webb" | | 5 | "Lyle" | | 6 | "Player" | | 7 | "Park" | | 8 | "Market" | | 9 | "Morris" |
| | places | | 0 | "London" | | 1 | "Kentish" | | 2 | "Town" |
| | globalScore | 0.94 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 7 | | matches | | 0 | "as if reaching for something—or someone" | | 1 | "wind that seemed to come from nowhere" | | 2 | "as if pulling toward something" | | 3 | "looked like preserved skin" | | 4 | "appeared behind her, breathing hard" | | 5 | "as if coming from multiple throats" | | 6 | "not quite" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.637 | | wordCount | 1569 | | matches | | 0 | "not with violence but with revelation" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 150 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 23.77 | | std | 17.07 | | cv | 0.718 | | sampleLengths | | 0 | 43 | | 1 | 60 | | 2 | 22 | | 3 | 7 | | 4 | 37 | | 5 | 5 | | 6 | 5 | | 7 | 64 | | 8 | 3 | | 9 | 33 | | 10 | 5 | | 11 | 7 | | 12 | 42 | | 13 | 31 | | 14 | 5 | | 15 | 27 | | 16 | 14 | | 17 | 42 | | 18 | 54 | | 19 | 10 | | 20 | 5 | | 21 | 1 | | 22 | 6 | | 23 | 19 | | 24 | 22 | | 25 | 14 | | 26 | 4 | | 27 | 53 | | 28 | 15 | | 29 | 8 | | 30 | 30 | | 31 | 3 | | 32 | 23 | | 33 | 49 | | 34 | 10 | | 35 | 75 | | 36 | 22 | | 37 | 16 | | 38 | 13 | | 39 | 10 | | 40 | 53 | | 41 | 32 | | 42 | 20 | | 43 | 23 | | 44 | 26 | | 45 | 21 | | 46 | 4 | | 47 | 41 | | 48 | 10 | | 49 | 39 |
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| 87.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 117 | | matches | | 0 | "was frozen" | | 1 | "been decommissioned" | | 2 | "been handled" | | 3 | "was filled" | | 4 | "been murdered" | | 5 | "was meant" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 212 | | matches | (empty) | |
| 9.52% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 150 | | ratio | 0.047 | | matches | | 0 | "Webb lay on his back near the old platform's edge, one arm flung out as if reaching for something—or someone." | | 1 | "Old advertising posters, faded and peeling, still clung to the walls—Lyle's Golden Syrup, Player's Please, ghosts of London's industrial past." | | 2 | "The scene told a story—or tried to." | | 3 | "The air here was different—warmer, almost humid, carrying a faint smell she couldn't place." | | 4 | "The woman leaned forward, and Quinn caught a glimpse of features that were almost human—but not quite." | | 5 | "They led past the chamber entrance, deeper into the passages, toward a second exit—a maintenance ladder that climbed up toward the surface." | | 6 | "Quinn pulled out her phone and dialed a number she hadn't called in months—the incident room, the cold case file, the investigation that had been quietly shelved." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1262 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.030110935023771792 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009508716323296355 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 10.46 | | std | 7.17 | | cv | 0.685 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 20 | | 3 | 20 | | 4 | 15 | | 5 | 5 | | 6 | 15 | | 7 | 7 | | 8 | 4 | | 9 | 3 | | 10 | 15 | | 11 | 22 | | 12 | 5 | | 13 | 5 | | 14 | 15 | | 15 | 20 | | 16 | 29 | | 17 | 3 | | 18 | 21 | | 19 | 12 | | 20 | 5 | | 21 | 7 | | 22 | 11 | | 23 | 19 | | 24 | 12 | | 25 | 11 | | 26 | 20 | | 27 | 5 | | 28 | 9 | | 29 | 16 | | 30 | 2 | | 31 | 14 | | 32 | 5 | | 33 | 26 | | 34 | 11 | | 35 | 7 | | 36 | 17 | | 37 | 3 | | 38 | 4 | | 39 | 19 | | 40 | 1 | | 41 | 2 | | 42 | 1 | | 43 | 10 | | 44 | 5 | | 45 | 1 | | 46 | 6 | | 47 | 2 | | 48 | 14 | | 49 | 3 |
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| 61.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.4266666666666667 | | totalSentences | 150 | | uniqueOpeners | 64 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 106 | | matches | | 0 | "His face was frozen in" | | 1 | "She stopped, crouched again, and" | | 2 | "She slipped it into an" | | 3 | "She'd seen enough bodies to" | | 4 | "He paused, something occurring to" | | 5 | "She moved toward the tunnel's" | | 6 | "Her torch found the old" | | 7 | "She crouched and examined the" | | 8 | "She pressed on, Park calling" | | 9 | "she said, her voice flat" | | 10 | "She moved between the stalls," | | 11 | "Her voice resonated strangely, as" | | 12 | "She let herself be pulled" | | 13 | "He'd walked into a place" | | 14 | "She walked back toward the" | | 15 | "They led past the chamber" | | 16 | "She thought of the terror" | | 17 | "She thought of the woman" | | 18 | "Her partner, lost three years" | | 19 | "She ended the call and" |
| | ratio | 0.217 | |
| 44.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 106 | | matches | | 0 | "The train tunnel stretched into" | | 1 | "Detective Harlow Quinn crouched beside" | | 2 | "Webb lay on his back" | | 3 | "His face was frozen in" | | 4 | "The kind that didn't come" | | 5 | "This came from somewhere deeper." | | 6 | "A uniformed officer appeared at" | | 7 | "Quinn didn't look up." | | 8 | "Quinn finally stood, her joints" | | 9 | "The tracks themselves had been" | | 10 | "Park consulted his notebook" | | 11 | "Quinn walked the perimeter, her" | | 12 | "The beam of her torch" | | 13 | "She stopped, crouched again, and" | | 14 | "A brass compass, its face" | | 15 | "The needle spun lazily, indifferent" | | 16 | "Quinn said, turning it over" | | 17 | "The casing was green with" | | 18 | "Quinn didn't believe it" | | 19 | "The compass felt warm against" |
| | ratio | 0.83 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 106 | | matches | | 0 | "To this tunnel." | | 1 | "To this market." | | 2 | "To whatever waited beyond." |
| | ratio | 0.028 | |
| 50.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 7 | | matches | | 0 | "The train tunnel stretched into darkness beyond the flashlight beams, its Victorian-era tiles slick with moisture that gleamed like scattered glass." | | 1 | "Webb lay on his back near the old platform's edge, one arm flung out as if reaching for something—or someone." | | 2 | "The tracks themselves had been decommissioned decades ago, the third rail long dead, but the tunnel still breathed with a cold, stale wind that seemed to come f…" | | 3 | "The compass felt warm against her skin, warmer than the surrounding air, and the needle still pointed deeper into the tunnel as if pulling toward something." | | 4 | "The beam of her torch caught sigils painted on the walls, symbols that matched the compass in her pocket." | | 5 | "Her voice resonated strangely, as if coming from multiple throats." | | 6 | "Back in the tunnel, Park was already calling for backup, for specialists, for anyone who might know what to do with a crime scene that extended into somewhere t…" |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "officer appeared, breath fogging in the chill air" | | 1 | "He paused, something occurring to him" | | 2 | "she said, her voice flat" | | 3 | "She moved, her torch sweeping across their contents" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |