| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1456 | | 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) | |
| 75.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1456 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "treacherous" | | 1 | "familiar" | | 2 | "flicked" | | 3 | "footfall" | | 4 | "echoed" | | 5 | "spectral" | | 6 | "pulse" |
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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 | 104 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1446 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1405 | | uniqueNames | 12 | | maxNameDensity | 1.21 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 17 | | Soho | 5 | | Krause | 11 | | Old | 2 | | Compton | 1 | | Street | 1 | | Raven | 2 | | Nest | 2 | | Met | 1 | | London | 1 | | Morris | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Krause" | | 3 | "Raven" | | 4 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Old" | | 2 | "Compton" | | 3 | "Street" | | 4 | "London" |
| | globalScore | 0.895 | | windowScore | 0.833 | |
| 85.90% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 2 | | matches | | 0 | "faces that seemed to stare at Quinn as she passed" | | 1 | "quite match the furniture" |
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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 | 1446 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 46.65 | | std | 33.03 | | cv | 0.708 | | sampleLengths | | 0 | 85 | | 1 | 88 | | 2 | 3 | | 3 | 83 | | 4 | 92 | | 5 | 82 | | 6 | 76 | | 7 | 5 | | 8 | 114 | | 9 | 37 | | 10 | 12 | | 11 | 13 | | 12 | 6 | | 13 | 15 | | 14 | 91 | | 15 | 43 | | 16 | 16 | | 17 | 58 | | 18 | 29 | | 19 | 1 | | 20 | 101 | | 21 | 18 | | 22 | 63 | | 23 | 37 | | 24 | 27 | | 25 | 48 | | 26 | 70 | | 27 | 11 | | 28 | 43 | | 29 | 40 | | 30 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 104 | | matches | | |
| 86.52% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 235 | | matches | | 0 | "were howling" | | 1 | "wasn't leaving" | | 2 | "was running" | | 3 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 109 | | ratio | 0.073 | | matches | | 0 | "She was too old for this, forty-one and wearing a coat that wasn't built for a sprint, but the figure ahead of her kept moving—a lean silhouette in a dark hooded jacket, slipping between parked cars and the white glare of headlights." | | 1 | "After eighteen years on the force, she knew better than to let pain stop her—you let it stop you once, and you were done." | | 2 | "The Raven's Nest was a bar in the way that a coffin was a box—technically, but the comparison missed the point." | | 3 | "One of them smiled at Quinn—a slow, knowing curve of the lips—and Quinn felt a cold prickle at the base of her skull." | | 4 | "It was unremarkable—dark wood, worn spines, a layer of dust that didn't quite match the furniture." | | 5 | "Krause hadn't just run into a bar—he'd gone under." | | 6 | "But the stairs breathed something up at her, and Krause was down there, and whatever he was running to—whatever he was running from—was the closest thing she had to a truth about what had killed Morris." | | 7 | "The air thickened as she descended, and the floral-rot smell grew stronger, mingling with something else now—candle smoke, maybe, and salt." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1426 | | adjectiveStacks | 1 | | stackExamples | | 0 | "wide, low-ceilinged chamber" |
| | adverbCount | 48 | | adverbRatio | 0.033660589060308554 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.009817671809256662 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 13.27 | | std | 8.54 | | cv | 0.643 | | sampleLengths | | 0 | 18 | | 1 | 25 | | 2 | 42 | | 3 | 11 | | 4 | 3 | | 5 | 20 | | 6 | 22 | | 7 | 24 | | 8 | 8 | | 9 | 3 | | 10 | 3 | | 11 | 17 | | 12 | 7 | | 13 | 29 | | 14 | 21 | | 15 | 6 | | 16 | 9 | | 17 | 13 | | 18 | 19 | | 19 | 5 | | 20 | 24 | | 21 | 22 | | 22 | 14 | | 23 | 2 | | 24 | 23 | | 25 | 14 | | 26 | 3 | | 27 | 9 | | 28 | 17 | | 29 | 21 | | 30 | 8 | | 31 | 16 | | 32 | 30 | | 33 | 1 | | 34 | 5 | | 35 | 21 | | 36 | 19 | | 37 | 24 | | 38 | 20 | | 39 | 5 | | 40 | 6 | | 41 | 19 | | 42 | 18 | | 43 | 15 | | 44 | 4 | | 45 | 12 | | 46 | 10 | | 47 | 3 | | 48 | 6 | | 49 | 15 |
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| 58.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.39814814814814814 | | totalSentences | 108 | | uniqueOpeners | 43 | |
| 70.18% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 95 | | matches | | 0 | "Just a dead end of" | | 1 | "Then she heard it." |
| | ratio | 0.021 | |
| 81.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 95 | | matches | | 0 | "She was too old for" | | 1 | "She was close." | | 2 | "She could see the pale" | | 3 | "She'd been building a case" | | 4 | "He'd bolted the moment he" | | 5 | "He cut left, disappearing into" | | 6 | "She nearly lost her footing" | | 7 | "They toppled behind him, scattering" | | 8 | "She grimaced and kept moving." | | 9 | "She could still feel the" | | 10 | "It swung inward, spilling a" | | 11 | "She took a breath, let" | | 12 | "She pushed the door open." | | 13 | "His gaze flicked to Quinn," | | 14 | "She showed her badge." | | 15 | "She moved deeper into the" | | 16 | "She'd felt it before, on" | | 17 | "Her instincts were howling now," | | 18 | "She rounded a corner near" | | 19 | "It was unremarkable—dark wood, worn" |
| | ratio | 0.347 | |
| 49.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 95 | | matches | | 0 | "Rain came down in sheets," | | 1 | "The streetlamps of Soho turned" | | 2 | "She was too old for" | | 3 | "Quinn ducked under an awning," | | 4 | "She was close." | | 5 | "She could see the pale" | | 6 | "Jason Krause, a fence who" | | 7 | "She'd been building a case" | | 8 | "He'd bolted the moment he" | | 9 | "Krause didn't stop." | | 10 | "He cut left, disappearing into" | | 11 | "Quinn swore under her breath" | | 12 | "The alley was barely wide" | | 13 | "She nearly lost her footing" | | 14 | "The rough surface scraped her" | | 15 | "They toppled behind him, scattering" | | 16 | "Quinn hurdled the first one," | | 17 | "She grimaced and kept moving." | | 18 | "She could still feel the" | | 19 | "The alley exited onto a" |
| | ratio | 0.821 | |
| 52.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 95 | | matches | | | ratio | 0.011 | |
| 34.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 10 | | matches | | 0 | "The streetlamps of Soho turned the wet asphalt into a black mirror, and her boots slapped through shallow rivers that had already flooded the gutters." | | 1 | "She was too old for this, forty-one and wearing a coat that wasn't built for a sprint, but the figure ahead of her kept moving—a lean silhouette in a dark hoode…" | | 2 | "Quinn ducked under an awning, her breath coming in controlled bursts." | | 3 | "He cut left, disappearing into the mouth of an alley that smelled of urine and rotting cardboard." | | 4 | "Maps covered the walls, yellowed and curling at the edges, alongside black-and-white photographs of faces that seemed to stare at Quinn as she passed." | | 5 | "It was unremarkable—dark wood, worn spines, a layer of dust that didn't quite match the furniture." | | 6 | "And Quinn knew enough, from whispers and rumors and the classified files that had ended up on her desk over the years, that what lived under London wasn't alway…" | | 7 | "At the bottom, the stairs opened into a wide, low-ceilinged chamber that stretched far beyond what the building above could possibly contain." | | 8 | "Stalls lined the walls, their tables laden with jars of glowing liquid, bundles of dried herbs, and trays of jewelry that gleamed with an unearthly fire." | | 9 | "Krause was fifty yards ahead, weaving through the crowd of buyers and sellers who moved with an unhurried, unnatural grace." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |