| 23.53% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "He stepped aside [aside]" | | 1 | "he said slowly [slowly]" | | 2 | "Herrera glanced around [around]" |
| | dialogueSentences | 34 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.214 | | effectiveRatio | 0.176 | |
| 86.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1829 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "slowly" |
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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) | |
| 72.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1829 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "determined" | | 1 | "weight" | | 2 | "familiar" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "perfect" | | 6 | "tinged" | | 7 | "electric" | | 8 | "warmth" | | 9 | "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 | 123 | | matches | (empty) | |
| 61.56% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 123 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "appeared to" | | 3 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1814 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1386 | | uniqueNames | 17 | | maxNameDensity | 1.01 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 14 | | Tomás | 1 | | Herrera | 13 | | Wardour | 1 | | Street | 1 | | London | 3 | | Raven | 1 | | Nest | 1 | | Victorian | 2 | | Morris | 4 | | Yard | 1 | | Saint | 2 | | Christopher | 2 | | Seville | 1 | | Symbols | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Raven" | | 5 | "Nest" | | 6 | "Morris" | | 7 | "Saint" | | 8 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Wardour" | | 2 | "Street" | | 3 | "London" | | 4 | "Seville" | | 5 | "Symbols" |
| | globalScore | 0.995 | | windowScore | 0.833 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like phosphorescent moss clinging" | | 1 | "looked like it belonged in a castle" | | 2 | "Bottles that seemed to contain captured lightning" |
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| 89.75% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.103 | | wordCount | 1814 | | matches | | 0 | "not to a rooftop but down" | | 1 | "Not the kind your system recognizes, but doctors all the same" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 142 | | matches | | 0 | "surveilling that bar" | | 1 | "wearing that watch" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 36.28 | | std | 23.42 | | cv | 0.646 | | sampleLengths | | 0 | 52 | | 1 | 15 | | 2 | 11 | | 3 | 66 | | 4 | 77 | | 5 | 45 | | 6 | 48 | | 7 | 45 | | 8 | 2 | | 9 | 5 | | 10 | 44 | | 11 | 38 | | 12 | 59 | | 13 | 22 | | 14 | 7 | | 15 | 49 | | 16 | 46 | | 17 | 5 | | 18 | 51 | | 19 | 64 | | 20 | 13 | | 21 | 15 | | 22 | 64 | | 23 | 6 | | 24 | 67 | | 25 | 32 | | 26 | 27 | | 27 | 10 | | 28 | 79 | | 29 | 60 | | 30 | 43 | | 31 | 45 | | 32 | 5 | | 33 | 45 | | 34 | 4 | | 35 | 56 | | 36 | 46 | | 37 | 40 | | 38 | 24 | | 39 | 49 | | 40 | 5 | | 41 | 72 | | 42 | 61 | | 43 | 29 | | 44 | 53 | | 45 | 2 | | 46 | 68 | | 47 | 34 | | 48 | 4 | | 49 | 5 |
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| 88.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 123 | | matches | | 0 | "been stripped" | | 1 | "was caught" | | 2 | "was cleared" | | 3 | "been transformed" | | 4 | "being made" | | 5 | "were carved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 242 | | matches | | 0 | "was playing" | | 1 | "was already climbing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 142 | | ratio | 0.092 | | matches | | 0 | "She wasn't about to let Herrera slip away—not after six months of building a case against the network he served." | | 1 | "Quinn drew her weapon now—a building she didn't know, a suspect who might be armed." | | 2 | "The air changed as she descended—warmer, tinged with unfamiliar scents." | | 3 | "And standing beside it, a figure she hadn't noticed until she was almost on top of him—a gaunt man in a long coat, his skin pale to the point of translucence." | | 4 | "It was an underground station—she could still see the bones of it, the curved tunnel walls, the platform edge." | | 5 | "The Saint Christopher medallion around his neck caught the light from overhead lanterns—actual fire, she noted, not electric." | | 6 | "The gaunt doorkeeper had been right—she had no authority here." | | 7 | "Word seemed to spread in ripples through the market—a detective, a badge, a representative of the world above intruding on this hidden space." | | 8 | "His hands were visible at his sides, and his expression had shifted from fear to something more complicated—resignation, maybe, mixed with a desperate hope." | | 9 | "\"People who've seen.\" He touched the scar on his left forearm—she'd read about it in his file, a knife attack during his paramedic days." | | 10 | "Herrera's warm brown eyes met hers, and she saw something shift in him—a decision being made." | | 11 | "Symbols were carved there—the same symbols she'd photographed in that warehouse three years ago." | | 12 | "The market swirled around them—impossible beings conducting impossible business in an impossible place beneath the streets of London." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1402 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.026390870185449358 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.007845934379457917 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 12.77 | | std | 8.04 | | cv | 0.629 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 16 | | 3 | 7 | | 4 | 8 | | 5 | 3 | | 6 | 8 | | 7 | 9 | | 8 | 19 | | 9 | 18 | | 10 | 20 | | 11 | 13 | | 12 | 22 | | 13 | 19 | | 14 | 23 | | 15 | 7 | | 16 | 14 | | 17 | 2 | | 18 | 10 | | 19 | 12 | | 20 | 18 | | 21 | 7 | | 22 | 19 | | 23 | 4 | | 24 | 8 | | 25 | 12 | | 26 | 8 | | 27 | 17 | | 28 | 2 | | 29 | 2 | | 30 | 3 | | 31 | 9 | | 32 | 14 | | 33 | 9 | | 34 | 12 | | 35 | 9 | | 36 | 11 | | 37 | 15 | | 38 | 3 | | 39 | 9 | | 40 | 22 | | 41 | 1 | | 42 | 7 | | 43 | 20 | | 44 | 5 | | 45 | 12 | | 46 | 5 | | 47 | 7 | | 48 | 4 | | 49 | 20 |
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| 71.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.44366197183098594 | | totalSentences | 142 | | uniqueOpeners | 63 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 114 | | matches | | 0 | "She keyed her radio without" | | 1 | "She wasn't about to let" | | 2 | "She'd spent three weeks surveilling" | | 3 | "He cut left, disappearing between" | | 4 | "Her breath came hard and" | | 5 | "He moved with desperate energy," | | 6 | "They never did." | | 7 | "She climbed faster, her shoulders" | | 8 | "She'd been wearing that watch" | | 9 | "She thought of Morris." | | 10 | "His heart had been perfect." | | 11 | "She'd photographed them before the" | | 12 | "She counted the steps." | | 13 | "His voice was surprisingly pleasant" | | 14 | "She kept her weapon trained" | | 15 | "He tilted his head, studying" | | 16 | "He stepped aside, gesturing toward" | | 17 | "It was an underground station—she" | | 18 | "She spotted Herrera across the" | | 19 | "He glanced back, saw her," |
| | ratio | 0.281 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 114 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn's boots hammered" | | 2 | "She keyed her radio without" | | 3 | "Static crackled back." | | 4 | "The rain was playing hell" | | 5 | "Quinn wiped water from her" | | 6 | "She wasn't about to let" | | 7 | "The green neon glow of" | | 8 | "She'd spent three weeks surveilling" | | 9 | "Something was rotten in that" | | 10 | "Herrera was her best lead," | | 11 | "He cut left, disappearing between" | | 12 | "Quinn followed, her hand brushing" | | 13 | "Her breath came hard and" | | 14 | "The alley opened onto a" | | 15 | "That should have been her" | | 16 | "A rusted fire escape clung" | | 17 | "Herrera was already climbing." | | 18 | "Quinn grabbed the ladder and" | | 19 | "The metal groaned under her" |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 85.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 5 | | matches | | 0 | "She'd spent three weeks surveilling that bar, watching the parade of faces that came and went through its doors at odd hours." | | 1 | "Something was rotten in that place, connections that led to disappearances and deaths she couldn't explain through normal channels." | | 2 | "Quinn followed, her hand brushing the grip of her service weapon but not drawing." | | 3 | "Two detectives who'd asked too many questions had taken early retirement within the month." | | 4 | "A heavy door stood before her, iron-banded oak that looked like it belonged in a castle." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.088 | | leniency | 0.176 | | rawRatio | 0 | | effectiveRatio | 0 | |