| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.167 | | effectiveRatio | 0.111 | |
| 92.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1880 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "really" |
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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) | |
| 28.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1880 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "practiced ease" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 1 |
| | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "fractured" | | 1 | "measured" | | 2 | "glinting" | | 3 | "reminder" | | 4 | "standard" | | 5 | "rhythmic" | | 6 | "practiced ease" | | 7 | "shattered" | | 8 | "velvet" | | 9 | "shimmered" | | 10 | "pulsed" | | 11 | "tracing" | | 12 | "lilt" | | 13 | "down her spine" | | 14 | "could feel" | | 15 | "weight" | | 16 | "wavered" | | 17 | "etched" | | 18 | "raced" | | 19 | "echoed" | | 20 | "flicked" | | 21 | "chaotic" | | 22 | "symphony" | | 23 | "depths" |
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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 | 131 | | matches | (empty) | |
| 66.52% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 131 | | filterMatches | | | hedgeMatches | | 0 | "tended to" | | 1 | "seemed to" | | 2 | "appeared to" | | 3 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 6 | | totalWords | 1866 | | ratio | 0.003 | | matches | | 0 | "The Veil Market—Bone Token Required." | | 1 | "Shit." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 73 | | wordCount | 1590 | | uniqueNames | 23 | | maxNameDensity | 1.38 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 1 | | Quinn | 22 | | Saint | 2 | | Christopher | 2 | | Herrera | 17 | | Morris | 4 | | Spanish | 1 | | Dean | 1 | | Street | 1 | | Metropolitan | 1 | | Police | 1 | | Underground | 1 | | Veil | 2 | | Market | 2 | | Bone | 1 | | Token | 1 | | Tube | 1 | | London | 2 | | Raven | 3 | | Nest | 3 | | Silas | 1 | | Seville | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Herrera" | | 5 | "Morris" | | 6 | "Police" | | 7 | "Raven" | | 8 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Dean" | | 2 | "Street" | | 3 | "Bone" | | 4 | "London" | | 5 | "Seville" |
| | globalScore | 0.808 | | windowScore | 0.833 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 4 | | matches | | 0 | "something between fear and calculation" | | 1 | "looked like bottled dreams" | | 2 | "not quite a smile" | | 3 | "something like relief crossing his features" |
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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 | 1866 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 40.57 | | std | 26.36 | | cv | 0.65 | | sampleLengths | | 0 | 98 | | 1 | 27 | | 2 | 112 | | 3 | 64 | | 4 | 78 | | 5 | 58 | | 6 | 32 | | 7 | 98 | | 8 | 70 | | 9 | 33 | | 10 | 57 | | 11 | 1 | | 12 | 51 | | 13 | 74 | | 14 | 73 | | 15 | 12 | | 16 | 27 | | 17 | 7 | | 18 | 39 | | 19 | 47 | | 20 | 26 | | 21 | 41 | | 22 | 33 | | 23 | 19 | | 24 | 25 | | 25 | 60 | | 26 | 4 | | 27 | 37 | | 28 | 47 | | 29 | 68 | | 30 | 6 | | 31 | 4 | | 32 | 32 | | 33 | 33 | | 34 | 43 | | 35 | 37 | | 36 | 2 | | 37 | 49 | | 38 | 38 | | 39 | 28 | | 40 | 30 | | 41 | 53 | | 42 | 6 | | 43 | 50 | | 44 | 26 | | 45 | 11 |
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| 97.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 131 | | matches | | 0 | "was prepared" | | 1 | "been seen" | | 2 | "been found" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 288 | | matches | | 0 | "were already scurrying" | | 1 | "was pushing" | | 2 | "were breathing" | | 3 | "was waking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 1 | | flaggedSentences | 12 | | totalSentences | 143 | | ratio | 0.084 | | matches | | 0 | "She kept her eyes locked on the figure twenty yards ahead—olive-skinned, dark curls plastered to his skull, the Saint Christopher medallion glinting once as it swung free of his collar." | | 1 | "Her worn leather watch—still ticking faithfully after three years—felt heavy on her left wrist, a reminder of time slipping away." | | 2 | "A warning scraped along her nerves—this wasn’t standard procedure." | | 3 | "A low rhythmic thump reached her—drums?" | | 4 | "At the bottom, a flickering green bulb illuminated a crude sign painted directly onto the curved tunnel wall: *The Veil Market—Bone Token Required.*" | | 5 | "The rain had soaked her through; she probably looked as hunted as she felt." | | 6 | "A vendor with translucent skin and teeth like shattered glass thrust a bone token at her—human, by the look of it." | | 7 | "He slid something across the counter—small, metallic, wrapped in cloth." | | 8 | "But the alternative—letting the clique continue operating unchecked—was worse." | | 9 | "Herrera’s mouth twitched—not quite a smile." | | 10 | "He produced a small silver disk—smaller than a coin, etched with the same raven symbol that marked the door behind him." | | 11 | "A distant scream echoed from the main market chamber—high, inhuman." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1612 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same distinctive green neon" |
| | adverbCount | 62 | | adverbRatio | 0.038461538461538464 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.013647642679900745 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 13.05 | | std | 8.32 | | cv | 0.637 | | sampleLengths | | 0 | 23 | | 1 | 17 | | 2 | 30 | | 3 | 2 | | 4 | 14 | | 5 | 2 | | 6 | 10 | | 7 | 14 | | 8 | 13 | | 9 | 3 | | 10 | 12 | | 11 | 23 | | 12 | 17 | | 13 | 20 | | 14 | 19 | | 15 | 18 | | 16 | 21 | | 17 | 7 | | 18 | 9 | | 19 | 10 | | 20 | 17 | | 21 | 9 | | 22 | 9 | | 23 | 31 | | 24 | 25 | | 25 | 4 | | 26 | 9 | | 27 | 18 | | 28 | 6 | | 29 | 1 | | 30 | 1 | | 31 | 23 | | 32 | 3 | | 33 | 4 | | 34 | 21 | | 35 | 4 | | 36 | 15 | | 37 | 11 | | 38 | 16 | | 39 | 12 | | 40 | 21 | | 41 | 11 | | 42 | 12 | | 43 | 4 | | 44 | 30 | | 45 | 19 | | 46 | 3 | | 47 | 14 | | 48 | 21 | | 49 | 12 |
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| 60.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3916083916083916 | | totalSentences | 143 | | uniqueOpeners | 56 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 123 | | matches | | 0 | "Then he put on another" | | 1 | "Instead she poured everything into" | | 2 | "Then she started down." |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 123 | | matches | | 0 | "She kept her eyes locked" | | 1 | "She had his name now," | | 2 | "Her worn leather watch—still ticking" | | 3 | "She thought of Morris’s empty" | | 4 | "She had no token." | | 5 | "She had a warrant card" | | 6 | "She moved forward anyway." | | 7 | "She spotted Herrera immediately." | | 8 | "He was pushing through the" | | 9 | "It wasn’t hard." | | 10 | "Her gaze never left the" | | 11 | "He slid something across the" | | 12 | "She didn’t stop." | | 13 | "She’d had the place under" | | 14 | "Her voice cracked off the" | | 15 | "He turned slowly." | | 16 | "His warm brown eyes held" | | 17 | "His accent still carried the" | | 18 | "he said quietly" | | 19 | "She could feel the weight" |
| | ratio | 0.26 | |
| 33.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 123 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn’s boots slapped" | | 2 | "She kept her eyes locked" | | 3 | "She had his name now," | | 4 | "Herrera glanced over his shoulder," | | 5 | "Quinn didn’t shout." | | 6 | "Shouting wasted breath and warned" | | 7 | "Rain lashed her closely cropped" | | 8 | "Her worn leather watch—still ticking" | | 9 | "Shadows she was now chasing" | | 10 | "Herrera cut left onto Dean" | | 11 | "Quinn followed, breath sawing in" | | 12 | "The alley smelled of rotting" | | 13 | "Herrera slipped through it and" | | 14 | "Quinn slowed for half a" | | 15 | "A warning scraped along her" | | 16 | "She thought of Morris’s empty" | | 17 | "The stairs spiraled deeper than" | | 18 | "The air grew thick, heavy" | | 19 | "A low rhythmic thump reached" |
| | ratio | 0.854 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 78 | | technicalSentenceCount | 9 | | matches | | 0 | "Stalls crammed the curved space, lit by floating orbs that cast sickly violet and bile-yellow light." | | 1 | "A creature with too many joints in its fingers offered something that looked suspiciously like a still-beating heart sealed in resin." | | 2 | "He was pushing through the crowd with the practiced ease of someone who belonged here, heading toward a row of stalls tucked beneath a rusted escalator that no …" | | 3 | "A glass vial shattered beneath her boot and released a cloud of silver moths that screamed in tiny human voices." | | 4 | "One pulsed with faint green light that reminded her of the neon sign above The Raven’s Nest, Silas’s bar in Soho." | | 5 | "Rainwater still clung to his olive skin, tracing the line of the scar that ran along his left forearm." | | 6 | "The green neon glow from the raven door pulsed faster, as though the symbol itself were breathing." | | 7 | "He produced a small silver disk—smaller than a coin, etched with the same raven symbol that marked the door behind him." | | 8 | "Quinn felt the pull of it in her bones, the same pull that had dragged her through three years of dead ends and sleepless nights." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0 | | effectiveRatio | 0 | |