| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1196 | | 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) | |
| 49.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1196 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "electric" | | 2 | "cataloged" | | 3 | "tension" | | 4 | "could feel" | | 5 | "shattered" | | 6 | "echoing" | | 7 | "weight" | | 8 | "resolve" | | 9 | "determined" | | 10 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "the weight of the moment" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 5.16% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 6 | | hedgeCount | 2 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1188 | | ratio | 0 | | matches | (empty) | |
| 17.86% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 3 | | matches | | 0 | "Detective Quinn, he said, his voice echoing off the curved ceiling of the station." | | 1 | "Look at me, Herrera, she whispered." | | 2 | "Lead the way, Herrera, she said, her voice dropping into a register of cold, steel certainty." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1188 | | uniqueNames | 18 | | maxNameDensity | 0.76 | | worstName | "Herrera" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Quinn | 7 | | Herrera | 9 | | Raven | 1 | | Nest | 2 | | Camden | 1 | | Glock | 1 | | Morris | 3 | | London | 1 | | Tube | 1 | | Veil | 2 | | Market | 2 | | Saint | 2 | | Christopher | 2 | | Harlow | 2 | | Metropolitan | 1 | | Police | 1 | | Detective | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Glock" | | 3 | "Morris" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Harlow" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "London" | | 3 | "Veil" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a jagged wound in the side of" |
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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 | 1188 | | matches | (empty) | |
| 86.35% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 83 | | matches | | 0 | "pulled that lever" | | 1 | "cross that line" |
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| 76.13% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 51.65 | | std | 21.51 | | cv | 0.416 | | sampleLengths | | 0 | 70 | | 1 | 42 | | 2 | 121 | | 3 | 48 | | 4 | 75 | | 5 | 58 | | 6 | 38 | | 7 | 77 | | 8 | 23 | | 9 | 26 | | 10 | 44 | | 11 | 58 | | 12 | 54 | | 13 | 66 | | 14 | 55 | | 15 | 56 | | 16 | 31 | | 17 | 49 | | 18 | 63 | | 19 | 45 | | 20 | 31 | | 21 | 36 | | 22 | 22 |
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| 92.58% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 83 | | matches | | 0 | "was pulled" | | 1 | "was bathed" | | 2 | "are written" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 205 | | matches | | 0 | "was fleeing" | | 1 | "was reaching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 83 | | ratio | 0.072 | | matches | | 0 | "It was a paramedic’s gait—balanced, focused on utility—but tonight, he was fleeing like a man who knew exactly what would be waiting for him if he stopped." | | 1 | "She could feel the static in the air, a hum that prickled against her skin—a sensation she’d only known since the night DS Morris vanished into thin air." | | 2 | "The platform was bathed in a sickly, bioluminescent glow, casting long, twisted shadows over piles of discarded remnants—shattered glass, rusted chains, and the occasional glimmer of something that looked far too much like bone." | | 3 | "Behind her lay the simple, brutal reality of the Metropolitan Police—the reports, the cold nights, the rigid logic of a world she understood." | | 4 | "The Veil Market was alive today—every full moon, it shifted, and tonight it was reaching out, the air thickening with the promise of secrets." | | 5 | "The sound of the city above—the rumble of a distant train, the muffled roar of the rain—faded into a flat, suffocating silence." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1200 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.02 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006666666666666667 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 14.31 | | std | 8.63 | | cv | 0.603 | | sampleLengths | | 0 | 30 | | 1 | 22 | | 2 | 18 | | 3 | 15 | | 4 | 27 | | 5 | 10 | | 6 | 1 | | 7 | 24 | | 8 | 29 | | 9 | 24 | | 10 | 33 | | 11 | 11 | | 12 | 11 | | 13 | 26 | | 14 | 3 | | 15 | 14 | | 16 | 28 | | 17 | 30 | | 18 | 6 | | 19 | 14 | | 20 | 8 | | 21 | 22 | | 22 | 8 | | 23 | 4 | | 24 | 34 | | 25 | 3 | | 26 | 15 | | 27 | 26 | | 28 | 13 | | 29 | 20 | | 30 | 10 | | 31 | 9 | | 32 | 3 | | 33 | 1 | | 34 | 6 | | 35 | 9 | | 36 | 11 | | 37 | 14 | | 38 | 6 | | 39 | 13 | | 40 | 11 | | 41 | 15 | | 42 | 11 | | 43 | 14 | | 44 | 14 | | 45 | 4 | | 46 | 3 | | 47 | 20 | | 48 | 6 | | 49 | 11 |
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| 53.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.39759036144578314 | | totalSentences | 83 | | uniqueOpeners | 33 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Instead, she lowered her weapon," |
| | ratio | 0.012 | |
| 32.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 81 | | matches | | 0 | "She kept her eyes locked" | | 1 | "It was a paramedic’s gait—balanced," | | 2 | "She had been tracking his" | | 3 | "She had watched him slip" | | 4 | "He wasn't just a street" | | 5 | "He was the clique’s pipeline," | | 6 | "She pushed harder, her leather" | | 7 | "She reached the entrance, her" | | 8 | "She could feel the static" | | 9 | "She descended the rusted metal" | | 10 | "It wasn’t just an abandoned" | | 11 | "She reached the bottom." | | 12 | "He stood near a vendor’s" | | 13 | "He wore a silver Saint" | | 14 | "He looked tired, older than" | | 15 | "They were the eyes of" | | 16 | "Her hand was steady as" | | 17 | "He stood still, but his" | | 18 | "He looked at her with" | | 19 | "You’ve been following me for" |
| | ratio | 0.469 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 81 | | matches | | 0 | "The rain didn’t fall so" | | 1 | "Harlow Quinn kept her head" | | 2 | "She kept her eyes locked" | | 3 | "Tomás Herrera ran with a" | | 4 | "It was a paramedic’s gait—balanced," | | 5 | "Quinn checked the worn leather" | | 6 | "She had been tracking his" | | 7 | "She had watched him slip" | | 8 | "He wasn't just a street" | | 9 | "He was the clique’s pipeline," | | 10 | "She pushed harder, her leather" | | 11 | "The city was a maze" | | 12 | "Herrera vanished around a brick" | | 13 | "Quinn didn’t hesitate." | | 14 | "She reached the entrance, her" | | 15 | "She could feel the static" | | 16 | "Every instinct drilled into her" | | 17 | "She descended the rusted metal" | | 18 | "The air grew heavy, smelling" | | 19 | "It wasn’t just an abandoned" |
| | ratio | 0.778 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 81 | | matches | | 0 | "If you cross that line," | | 1 | "To see your partner as" | | 2 | "If she fired, she lost" | | 3 | "If she followed, she crossed" |
| | ratio | 0.049 | |
| 5.01% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 11 | | matches | | 0 | "The rain didn’t fall so much as it possessed the city, a relentless, freezing curtain that blurred the neon pulse of Soho into streaks of bruised violet and ele…" | | 1 | "He was the clique’s pipeline, and if she could break him, she would finally bridge the gap between their petty larceny and the shadow life that had claimed her …" | | 2 | "Herrera vanished around a brick corner near Camden, disappearing into a service entrance that looked like a jagged wound in the side of a dead building." | | 3 | "Every instinct drilled into her by eighteen years of service screamed at her to call for backup, but backup didn't understand the things that crawled beneath th…" | | 4 | "The platform was bathed in a sickly, bioluminescent glow, casting long, twisted shadows over piles of discarded remnants—shattered glass, rusted chains, and the…" | | 5 | "I know you’re running supplies for people who shouldn't exist, Herrera, she said, stepping forward." | | 6 | "I know you lost your license treating things that defy the laws of medicine." | | 7 | "He took a single step backward toward a shimmering ripple in the air, a gateway that smelled of ancient dust." | | 8 | "In front of her was the madness, the reason for her partner’s disappearance, the truth that would either vindicate her life’s work or finish the job that had br…" | | 9 | "She saw the bone tokens clutched in the hands of the hooded figures lingering in the periphery, creatures and men who had traded their humanity for a glimpse be…" | | 10 | "She felt the pull of the market, a gravitational tug at the center of her chest, calling to the part of her that had never quite felt right in the gray light of…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |