| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1634 | | totalAiIsmAdverbs | 2 | | 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) | |
| 2.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1634 | | totalAiIsms | 32 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "echoing" | | 1 | "pulse" | | 2 | "flickered" | | 3 | "fractured" | | 4 | "beacon" | | 5 | "gloom" | | 6 | "could feel" | | 7 | "weight" | | 8 | "footsteps" | | 9 | "depths" | | 10 | "footfall" | | 11 | "pulsed" | | 12 | "flicker" | | 13 | "flicked" | | 14 | "whisper" | | 15 | "echoed" | | 16 | "dance" | | 17 | "glinting" | | 18 | "etched" | | 19 | "raced" | | 20 | "mechanical" | | 21 | "reminder" | | 22 | "chill" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 73 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 7 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1620 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.93% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1439 | | uniqueNames | 12 | | maxNameDensity | 1.18 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 17 | | Raven | 2 | | Nest | 2 | | London | 1 | | Veil | 3 | | Market | 3 | | Tomás | 5 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Market" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Morris" |
| | places | | | globalScore | 0.909 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 6 | | matches | | 0 | "note that seemed to die before it could fully form" | | 1 | "space that seemed to breathe" | | 2 | "raindrops that seemed to mark time" | | 3 | "as if measuring worth in whispered promises" | | 4 | "market that seemed to exist beyond the law’s reach" | | 5 | "as if seeking some comfort from his own wounds" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.617 | | wordCount | 1620 | | matches | | 0 | "not from the chill of the underground air but from the realization" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 82 | | matches | | |
| 79.72% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 67.5 | | std | 28.96 | | cv | 0.429 | | sampleLengths | | 0 | 112 | | 1 | 83 | | 2 | 104 | | 3 | 69 | | 4 | 110 | | 5 | 97 | | 6 | 37 | | 7 | 95 | | 8 | 61 | | 9 | 28 | | 10 | 16 | | 11 | 16 | | 12 | 91 | | 13 | 79 | | 14 | 55 | | 15 | 37 | | 16 | 35 | | 17 | 83 | | 18 | 55 | | 19 | 46 | | 20 | 53 | | 21 | 101 | | 22 | 74 | | 23 | 83 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 242 | | matches | | 0 | "was heading" | | 1 | "were holding" | | 2 | "were trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 4 | | flaggedSentences | 15 | | totalSentences | 82 | | ratio | 0.183 | | matches | | 0 | "She had seen the suspect—him— dart into the bar just seconds ago, a silhouette swallowed by the doorway, his coat flapping as he vanished into the gloom." | | 1 | "The suspect’s footsteps were light, almost silent on the rain‑slicked stone, but Quinn could hear the faint scrape of a shoe against metal—a subtle clue that he was heading somewhere specific, not merely fleeing aimlessly." | | 2 | "Quinn’s military precision kicked in; she knew the secret—this was the entrance to the hidden back room." | | 3 | "The Veil Market pulsed with a low, humming energy; shadows moved between the stalls, and the scent of spices and something sweeter—perhaps the faint perfume of alchemical reagents—filled the air." | | 4 | "Figures moved in the periphery—hooded traders bartering in hushed tones, eyes darting toward each other as if measuring worth in whispered promises." | | 5 | "She noted the way his hand rested near a vial—an alchemical concoction that might be used to bind or to harm." | | 6 | "The suspect—a wiry figure with a torn scarf and hurried steps— slipped between the stalls, disappearing into a narrow corridor lined with crates marked with strange sigils." | | 7 | "Quinn’s instincts screamed that this was more than a petty theft; it was a move in a larger game, a dance of shadows orchestrated by an unseen puppeteer." | | 8 | "It was a woman—tall, wrapped in a coat of midnight, her eyes glinting like polished amber." | | 9 | "She recognized the token instantly—bone white, etched with symbols that pulsed faintly, like a heartbeat." | | 10 | "But the suspect she chased was more than a petty thief—he was a linchpin, perhaps the conduit through which the clique moved their illicit cargo." | | 11 | "\"You can’t just barge in,\" he warned, but his voice held an undercurrent of something else—perhaps admiration, perhaps fear." | | 12 | "She would follow—into the heart of the Veil Market, into a realm where the rain above could no longer reach, where the unseen rules dictated survival." | | 13 | "The rain above hammered a relentless rhythm, but below, the market’s pulse was a different tempo—steady, patient, and, in Quinn’s mind, relentless in its own way." | | 14 | "She would not let the city’s secrets drown in darkness; she would shine a light, even if it meant stepping into a world that was never meant for the light of day." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1453 | | adjectiveStacks | 1 | | stackExamples | | 0 | "above fading behind her" |
| | adverbCount | 32 | | adverbRatio | 0.02202339986235375 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006882312456985547 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 19.76 | | std | 9.71 | | cv | 0.491 | | sampleLengths | | 0 | 22 | | 1 | 35 | | 2 | 28 | | 3 | 27 | | 4 | 4 | | 5 | 21 | | 6 | 23 | | 7 | 35 | | 8 | 25 | | 9 | 25 | | 10 | 20 | | 11 | 17 | | 12 | 17 | | 13 | 25 | | 14 | 18 | | 15 | 26 | | 16 | 14 | | 17 | 15 | | 18 | 30 | | 19 | 27 | | 20 | 24 | | 21 | 10 | | 22 | 22 | | 23 | 27 | | 24 | 24 | | 25 | 14 | | 26 | 12 | | 27 | 20 | | 28 | 5 | | 29 | 16 | | 30 | 25 | | 31 | 21 | | 32 | 23 | | 33 | 10 | | 34 | 61 | | 35 | 3 | | 36 | 25 | | 37 | 11 | | 38 | 5 | | 39 | 4 | | 40 | 12 | | 41 | 11 | | 42 | 25 | | 43 | 27 | | 44 | 28 | | 45 | 17 | | 46 | 15 | | 47 | 4 | | 48 | 16 | | 49 | 14 |
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| 37.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3048780487804878 | | totalSentences | 82 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 66.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 73 | | matches | | 0 | "She had seen the suspect—him—" | | 1 | "She could feel the weight" | | 2 | "She pushed through the iron‑grated" | | 3 | "She slipped the bookshelf aside" | | 4 | "She spotted Tomás Herrera near" | | 5 | "he said, voice low, edged" | | 6 | "He had not expected her" | | 7 | "He was a man who" | | 8 | "She noted the way his" | | 9 | "She remembered the night DS" | | 10 | "she said, voice crisp, Her" | | 11 | "He nodded, eyes narrowing." | | 12 | "She took a step forward," | | 13 | "It was not Tomás." | | 14 | "It was a woman—tall, wrapped" | | 15 | "She held a bone token" | | 16 | "She recognized the token instantly—bone" | | 17 | "It was the kind of" | | 18 | "She could retreat, call for" | | 19 | "Her partner’s unsolved death pressed" |
| | ratio | 0.384 | |
| 14.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 73 | | matches | | 0 | "Harlow Quinn slipped through the" | | 1 | "The city’s neon veins flickered" | | 2 | "She had seen the suspect—him—" | | 3 | "Quinn’s trained eyes narrowed." | | 4 | "She could feel the weight" | | 5 | "The chase had begun on" | | 6 | "The suspect’s footsteps were light," | | 7 | "She pushed through the iron‑grated" | | 8 | "The interior was a low" | | 9 | "The walls were plastered with" | | 10 | "Quinn’s military precision kicked in;" | | 11 | "She slipped the bookshelf aside" | | 12 | "The smell of damp earth" | | 13 | "Quinn descended the stone steps," | | 14 | "Lanterns hung from iron hooks," | | 15 | "The Veil Market pulsed with" | | 16 | "The market was a living" | | 17 | "Quinn’s sharp jaw tightened as" | | 18 | "Figures moved in the periphery—hooded" | | 19 | "She spotted Tomás Herrera near" |
| | ratio | 0.89 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "To abandon him would be" |
| | ratio | 0.014 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 12 | | matches | | 0 | "Rain hammered the slick cobblestones of Soho, each drop echoing off the puddles that pooled in the gutters like tiny mirrored worlds." | | 1 | "Harlow Quinn slipped through the crowd, her trench coat cuffs brushing the wet fabric of strangers, the worn leather watch on her left wrist ticking with a rhyt…" | | 2 | "The interior was a low hum of cheap whiskey and murmured conversations, the air thick with cigarette smoke that curled lazily around the low‑hung bulbs." | | 3 | "Above, the ceiling was a vaulted tunnel of rusted iron, dripping with condensation that fell in slow, deliberate raindrops that seemed to mark time." | | 4 | "Figures moved in the periphery—hooded traders bartering in hushed tones, eyes darting toward each other as if measuring worth in whispered promises." | | 5 | "She noted the way his hand rested near a vial—an alchemical concoction that might be used to bind or to harm." | | 6 | "She remembered the night DS Morris had vanished, the inexplicable surge of supernatural energy that had left a hollow ache in her chest." | | 7 | "A crate tipped over, spilling a cascade of tattered scrolls and strange, humming crystals that caught the lantern light and fractured it into tiny rainbows." | | 8 | "It was the kind of token that opened the Veil Market’s doors, but also bound its holder to its rules." | | 9 | "Behind her, Tomás stepped closer, his hand hovering over the medallion, then sliding to the scar on his forearm, as if seeking some comfort from his own wounds." | | 10 | "Quinn weighed his words against the ticking of her watch, the steady, mechanical count that had kept her anchored through years of chaos." | | 11 | "She stepped forward, her boots echoing against the stone floor, each footfall a promise to uncover the hidden threads that tethered the city’s shadows together." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice low, edged with a hint of resignation" | | 1 | "she said, voice crisp," | | 2 | "Quinn interrupted, her voice a low, steady command" | | 3 | "he warned, but his voice held an undercurrent of something else—perhaps admiration, perhaps fear" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn interrupted (interrupt)" | | 1 | "Quinn repeated (repeat)" | | 2 | "he warned (warn)" | | 3 | "the woman whispered (whisper)" |
| | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.571 | | effectiveRatio | 0.5 | |