| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1336 | | totalAiIsmAdverbs | 4 | | 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) | |
| 47.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1336 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "scanned" | | 1 | "echo" | | 2 | "resolved" | | 3 | "cacophony" | | 4 | "silk" | | 5 | "pulsed" | | 6 | "velvet" | | 7 | "vibrated" | | 8 | "familiar" | | 9 | "weight" | | 10 | "porcelain" | | 11 | "echoed" | | 12 | "could feel" |
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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 | 2 | | narrationSentences | 102 | | matches | | 0 | "t in determination" | | 1 | "t with surprise" |
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| 86.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | 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 | 1323 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1243 | | uniqueNames | 12 | | maxNameDensity | 0.88 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 11 | | Tomás | 2 | | Herrera | 10 | | Raven | 1 | | Nest | 1 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Morris | 2 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Saint" | | 5 | "Christopher" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 58.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like carved bones from a velvet cu" | | 1 | "coat that seemed to drink the light" | | 2 | "looked like dried, unfamiliar flowers" |
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| 48.83% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.512 | | wordCount | 1323 | | matches | | 0 | "not running, but walking with the deliberate, authoritative stride she used t" | | 1 | "not the fear of a common criminal, but the desperate calculation of a man in an impossible situatio" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 33.08 | | std | 25.3 | | cv | 0.765 | | sampleLengths | | 0 | 60 | | 1 | 3 | | 2 | 5 | | 3 | 84 | | 4 | 60 | | 5 | 63 | | 6 | 29 | | 7 | 57 | | 8 | 17 | | 9 | 13 | | 10 | 108 | | 11 | 3 | | 12 | 43 | | 13 | 12 | | 14 | 88 | | 15 | 18 | | 16 | 38 | | 17 | 60 | | 18 | 39 | | 19 | 10 | | 20 | 7 | | 21 | 65 | | 22 | 13 | | 23 | 28 | | 24 | 57 | | 25 | 19 | | 26 | 17 | | 27 | 42 | | 28 | 12 | | 29 | 23 | | 30 | 21 | | 31 | 13 | | 32 | 22 | | 33 | 44 | | 34 | 38 | | 35 | 16 | | 36 | 7 | | 37 | 24 | | 38 | 33 | | 39 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 31.65% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 198 | | matches | | 0 | "was carrying was slipping" | | 1 | "was approaching was laying" | | 2 | "were moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 110 | | ratio | 0.073 | | matches | | 0 | "Twenty meters ahead, a dark figure—Tomás Herrera—ducked around the corner of a newsagent’s, his silhouette briefly caught in the flash of a passing cab." | | 1 | "The air that drifted up was warm, thick with the smell of damp earth, ozone, and something else—incense and hot metal." | | 2 | "Morris’s face flashed in her mind—the confusion in his eyes in those final moments before the warehouse went dark, the official report that blamed faulty wiring and panic." | | 3 | "The murmur resolved into a cacophony—bartering, arguing, the clink of glass and metal." | | 4 | "A figure detached itself from the shadows near the stairwell—tall, thin, wearing a long coat that seemed to drink the light." | | 5 | "He turned, and for the first time she saw his face clearly in the greenish light—the olive skin taut with surprise, the warm brown eyes wide." | | 6 | "The crowd didn’t part this time; it seemed to solidify around her." | | 7 | "He looked at her, and she saw the conflict in his face—not the fear of a common criminal, but the desperate calculation of a man in an impossible situation." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1256 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 25 | | adverbRatio | 0.019904458598726114 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007165605095541401 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 12.03 | | std | 6.91 | | cv | 0.575 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 24 | | 3 | 3 | | 4 | 5 | | 5 | 30 | | 6 | 17 | | 7 | 15 | | 8 | 22 | | 9 | 24 | | 10 | 8 | | 11 | 14 | | 12 | 9 | | 13 | 5 | | 14 | 9 | | 15 | 13 | | 16 | 2 | | 17 | 5 | | 18 | 18 | | 19 | 16 | | 20 | 6 | | 21 | 7 | | 22 | 16 | | 23 | 21 | | 24 | 21 | | 25 | 15 | | 26 | 5 | | 27 | 8 | | 28 | 4 | | 29 | 12 | | 30 | 1 | | 31 | 7 | | 32 | 14 | | 33 | 16 | | 34 | 16 | | 35 | 28 | | 36 | 4 | | 37 | 23 | | 38 | 3 | | 39 | 11 | | 40 | 13 | | 41 | 19 | | 42 | 12 | | 43 | 8 | | 44 | 15 | | 45 | 15 | | 46 | 20 | | 47 | 17 | | 48 | 13 | | 49 | 3 |
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| 49.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.36363636363636365 | | totalSentences | 110 | | uniqueOpeners | 40 | |
| 33.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 99 | | matches | | 0 | "All other conversations died." |
| | ratio | 0.01 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 99 | | matches | | 0 | "He didn’t even glance back." | | 1 | "He led her away from" | | 2 | "She was on her own." | | 3 | "She rounded a corner and" | | 4 | "Her eyes scanned the shadows." | | 5 | "She placed a palm against" | | 6 | "It wasn’t a basement or" | | 7 | "She heard a scuff of" | | 8 | "She’d never believed it." | | 9 | "She went down." | | 10 | "She emerged onto a balcony" | | 11 | "It was an abandoned Tube" | | 12 | "She’d heard whispers, always dismissed" | | 13 | "He held the silver case" | | 14 | "It was a violation of" | | 15 | "She was a detective, not" | | 16 | "Her weapon was her warrant" | | 17 | "It turned a featureless porcelain" | | 18 | "it intoned, the voice a" | | 19 | "Her eyes tracked Herrera again." |
| | ratio | 0.364 | |
| 25.66% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 99 | | matches | | 0 | "Rain lashed the slick pavement," | | 1 | "Harlow Quinn’s boots hammered a" | | 2 | "He didn’t even glance back." | | 3 | "Herrera had left the bar" | | 4 | "He led her away from" | | 5 | "The air smelled of wet" | | 6 | "Quinn’s hand went to the" | | 7 | "Static crackled, useless this far" | | 8 | "She was on her own." | | 9 | "She rounded a corner and" | | 10 | "The alley ended in a" | | 11 | "Her eyes scanned the shadows." | | 12 | "A single, heavy steel door," | | 13 | "A thin sliver of unnatural," | | 14 | "Quinn approached, her movements silent," | | 15 | "The door bore no marking," | | 16 | "She placed a palm against" | | 17 | "A set of narrow, winding" | | 18 | "The air that drifted up" | | 19 | "This wasn’t on any schematic." |
| | ratio | 0.869 | |
| 50.51% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 99 | | matches | | | ratio | 0.01 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 6 | | matches | | 0 | "Harlow Quinn’s boots hammered a steady, punishing rhythm against the ground, her breath coming in sharp clouds that vanished into the downpour." | | 1 | "Herrera had left the bar with a silver case, moving with a purpose that screamed guilty knowledge." | | 2 | "The air that drifted up was warm, thick with the smell of damp earth, ozone, and something else—incense and hot metal." | | 3 | "Morris’s face flashed in her mind—the confusion in his eyes in those final moments before the warehouse went dark, the official report that blamed faulty wiring…" | | 4 | "The greenish light grew stronger, emanating from flickering gas lamps that lined the walls of a vast, vaulted space." | | 5 | "A figure detached itself from the shadows near the stairwell—tall, thin, wearing a long coat that seemed to drink the light." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn flashed, the gesture feeling absurd" | | 1 | "he said, his voice low, urgent" |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 14 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.5 | | effectiveRatio | 0.143 | |