| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said once [once]" | | 1 | "woman asked again [again]" |
| | dialogueSentences | 10 | | tagDensity | 0.9 | | leniency | 1 | | rawRatio | 0.222 | | effectiveRatio | 0.222 | |
| 93.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2405 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "softly" | | 2 | "nervously" |
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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) | |
| 83.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2405 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "mosaic" | | 1 | "velvet" | | 2 | "traced" | | 3 | "weight" | | 4 | "charged" | | 5 | "flicker" | | 6 | "stomach" |
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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 | 162 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 162 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2386 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 2331 | | uniqueNames | 13 | | maxNameDensity | 0.94 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Quinn | 1 | | Harlow | 22 | | Morris | 7 | | Met | 2 | | Veil | 1 | | Market | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | British | 1 | | Tomás | 7 |
| | persons | | 0 | "Raven" | | 1 | "Quinn" | | 2 | "Harlow" | | 3 | "Morris" | | 4 | "Met" | | 5 | "Market" | | 6 | "Herrera" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Tomás" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 135 | | glossingSentenceCount | 5 | | matches | | 0 | "something like fabric and coin and a murmur" | | 1 | "something like roses in vinegar slid out" | | 2 | "felt like a burn, the way Morris's face" | | 3 | "as if tasting the name" | | 4 | "looked like ritual" |
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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 | 2386 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 165 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 62.79 | | std | 33.92 | | cv | 0.54 | | sampleLengths | | 0 | 77 | | 1 | 89 | | 2 | 73 | | 3 | 15 | | 4 | 99 | | 5 | 40 | | 6 | 62 | | 7 | 60 | | 8 | 144 | | 9 | 91 | | 10 | 58 | | 11 | 118 | | 12 | 74 | | 13 | 99 | | 14 | 111 | | 15 | 29 | | 16 | 61 | | 17 | 7 | | 18 | 74 | | 19 | 71 | | 20 | 94 | | 21 | 65 | | 22 | 73 | | 23 | 42 | | 24 | 78 | | 25 | 115 | | 26 | 18 | | 27 | 70 | | 28 | 5 | | 29 | 22 | | 30 | 7 | | 31 | 57 | | 32 | 77 | | 33 | 40 | | 34 | 6 | | 35 | 77 | | 36 | 58 | | 37 | 30 |
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| 81.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 11 | | totalSentences | 162 | | matches | | 0 | "were flaked" | | 1 | "were hidden" | | 2 | "been propped" | | 3 | "been covered" | | 4 | "were layered" | | 5 | "been ripped" | | 6 | "been trained" | | 7 | "been schooled" | | 8 | "been trained" | | 9 | "been told" | | 10 | "was made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 401 | | matches | | 0 | "wasn't staying" | | 1 | "was speaking" | | 2 | "was counting" | | 3 | "was choosing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 10 | | flaggedSentences | 24 | | totalSentences | 165 | | ratio | 0.145 | | matches | | 0 | "The green of the Raven's Nest sign bled into everything—into a taxi's rear window, into the puddled reflection of the alley—until the bar's name was a ghostly smear on the wet stone." | | 1 | "But when he stepped into the rain and looked back, that half-second glance had teeth to it—nervous, quick, the way someone with something to hide checks the horizon." | | 2 | "The coat did him in; it soaked, then clung." | | 3 | "Morris, she thought, and the name slid into the forefront of everything—sharp as the cut he had left on her psyche." | | 4 | "The official line was an anomaly; Harlow had a file of his final case that refused to stay neat." | | 5 | "A faded sign over the entrance read CAMDEN - SERVICE." | | 6 | "The rain had made the city a soft blur above; down here the air was close and dry, thicker with the odor of oil and something she could not name, like crushed cloves or copper tucked in velvet." | | 7 | "The market that was rumor in the darker precincts of her file—Veil Market, people called it in the half-drunken whispers of informants—had the kind of secret nobody put on a map." | | 8 | "She had seen the edges of it; a photograph once, a shot taken through the crack of a shutter: a stall of jars, a woman with hair like polished coal, a hand passing a token across a palm." | | 9 | "Harlow's heart did something quick and unreasonable—an animal startled." | | 10 | "She could call it in, get the station cordoned, drag a team through legal corridors and bright lights—time she did not have and a crowd she could not control." | | 11 | "She saw movement in the shadow by a vendor's shutter—someone with a white sleeve." | | 12 | "He looked up and his eyes met hers for a beat like two shavings of wood struck together: a small flare of recognition, shock, and then—quick as a blink—a turning away." | | 13 | "The door into the station had been propped; a small crowd moved like a river around a vendor's crate." | | 14 | "And Tomás—there, in the swarm, his back to her—moved like someone on a schedule, his shoulders squared with the weight of other people's liabilities." | | 15 | "Whatever he carried—rumors, tokens, debts—led down here." | | 16 | "Not all of them human; a rippled face with the wrong number of pupils looked up and appraised her." | | 17 | "The market felt alive in a way the city above did not—alive and patient and hungry." | | 18 | "They traded; the suspect handed over a small bone token, rolled between his fingers like a guilty coin." | | 19 | "She had to reach him; not because she wanted to cuff him—for all she knew, he was a useful asset—but because he was a line to Morris, to the things that had happened and been covered up." | | 20 | "The bone token gleamed in a palm near the curtain's edge—an inch of bleached knuckle carved with runes." | | 21 | "And she remembered the feel of a man's hands in the dark and his last words—'They told me it would be fine'—and how fine had never been a word that could stop a thing from coming apart." | | 22 | "He didn't flee; he didn't signal." | | 23 | "She felt the absence of Morris like a weight pressing on the back of her neck; it pushed her forward." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 931 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.023630504833512353 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00644468313641246 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 14.46 | | std | 9 | | cv | 0.622 | | sampleLengths | | 0 | 17 | | 1 | 32 | | 2 | 17 | | 3 | 11 | | 4 | 4 | | 5 | 20 | | 6 | 28 | | 7 | 17 | | 8 | 2 | | 9 | 18 | | 10 | 3 | | 11 | 9 | | 12 | 19 | | 13 | 12 | | 14 | 10 | | 15 | 20 | | 16 | 6 | | 17 | 6 | | 18 | 3 | | 19 | 17 | | 20 | 13 | | 21 | 3 | | 22 | 21 | | 23 | 7 | | 24 | 19 | | 25 | 14 | | 26 | 5 | | 27 | 12 | | 28 | 4 | | 29 | 24 | | 30 | 15 | | 31 | 17 | | 32 | 10 | | 33 | 20 | | 34 | 9 | | 35 | 38 | | 36 | 13 | | 37 | 32 | | 38 | 15 | | 39 | 31 | | 40 | 9 | | 41 | 8 | | 42 | 5 | | 43 | 38 | | 44 | 6 | | 45 | 6 | | 46 | 13 | | 47 | 9 | | 48 | 5 | | 49 | 4 |
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| 31.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 30 | | diversityRatio | 0.2787878787878788 | | totalSentences | 165 | | uniqueOpeners | 46 | |
| 20.96% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 159 | | matches | | | ratio | 0.006 | |
| 66.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 159 | | matches | | 0 | "She pulled the collar of" | | 1 | "She'd meant to wait." | | 2 | "She told herself that the" | | 3 | "He wasn't fast." | | 4 | "He cut through an alley" | | 5 | "She fell in behind him" | | 6 | "she said once, not loud" | | 7 | "He didn't stop." | | 8 | "They threaded past a shuttered" | | 9 | "Her jaw tightened." | | 10 | "Her boots hit wet stone," | | 11 | "He burst through a rusting" | | 12 | "She braced both palms against" | | 13 | "She knew, in the way" | | 14 | "They ran into places they" | | 15 | "It sold things the register" | | 16 | "She had never seen it." | | 17 | "She had seen the edges" | | 18 | "She had no bone token." | | 19 | "She had no warrant." |
| | ratio | 0.384 | |
| 38.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 134 | | totalSentences | 159 | | matches | | 0 | "Rain came down like a" | | 1 | "The green of the Raven's" | | 2 | "Harlow Quinn tasted the city" | | 3 | "She pulled the collar of" | | 4 | "She'd meant to wait." | | 5 | "She told herself that the" | | 6 | "Harlow's shoulders folded in with" | | 7 | "A life of following things" | | 8 | "He wasn't fast." | | 9 | "The coat did him in;" | | 10 | "He cut through an alley" | | 11 | "Someone who knew the city's" | | 12 | "She fell in behind him" | | 13 | "The watch on her left" | | 14 | "she said once, not loud" | | 15 | "He didn't stop." | | 16 | "They threaded past a shuttered" | | 17 | "Glass mosaic from a ruined" | | 18 | "Her jaw tightened." | | 19 | "Morris, she thought, and the" |
| | ratio | 0.843 | |
| 62.89% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 159 | | matches | | 0 | "If she thought that, for" | | 1 | "If she didn't go now," |
| | ratio | 0.013 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 104 | | technicalSentenceCount | 8 | | matches | | 0 | "The market that was rumor in the darker precincts of her file—Veil Market, people called it in the half-drunken whispers of informants—had the kind of secret no…" | | 1 | "She had a photograph on her desk of him from an older report: warm brown eyes looking too soft for the hard lines of a man who had been a paramedic." | | 2 | "The man in the white sleeve lifted his head, and Harlow had time to register the Saint Christopher medallion at his throat and a pale, mapping scar that traced …" | | 3 | "Another vendor held up a glass orb and a man with a cough of smoke from his mouth paid with a fistful of coins that were not British." | | 4 | "When her eyes found him again he was speaking softly to a woman who had hair like a raven's wing, and she handed him a folded corner of cloth and he folded it i…" | | 5 | "He was counting coins that did not look like currency, his fingers flicking nervously, his face pulled thin with worry." | | 6 | "It was darker, thicker, voices folding into a hum that was part bargaining and part prayer." | | 7 | "She thought of the watch on her wrist and the steady, stupid tick that had counted off too many compromises." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "she said once, not loud" | | 1 | "woman asked again, as if the answer would make the ground tremble less" | | 2 | "she repeated, as if tasting the name" |
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| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |