| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1334 | | 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) | |
| 55.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1334 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "pulsed" | | 2 | "whisper" | | 3 | "pulse" | | 4 | "throbbed" | | 5 | "footfall" | | 6 | "echoing" | | 7 | "electric" | | 8 | "footsteps" | | 9 | "porcelain" | | 10 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 166 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 166 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 183 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 44 | | totalWords | 1315 | | ratio | 0.033 | | matches | | 0 | "anything" | | 1 | "The Raven’s Nest." | | 2 | "The Veil Market." | | 3 | "“Market moves with the moon. Entry requires a bone—human, animal, doesn’t matter. You pay, you pass.”" | | 4 | "owed" | | 5 | "arrest him" | | 6 | "Handcuffs. Charges. Book him in." | | 7 | "There are things beneath this city, Harlow. Things that dream in the dark." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1135 | | uniqueNames | 13 | | maxNameDensity | 1.15 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 2 | | Quinn | 2 | | Herrera | 7 | | Thames | 1 | | Morris | 6 | | Harlow | 13 | | Raven | 1 | | Veil | 1 | | Spanish | 1 | | Bethnal | 1 | | Green | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Morris" | | 3 | "Harlow" | | 4 | "Raven" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Thames" | | 2 | "Bethnal" |
| | globalScore | 0.927 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1315 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 183 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 18.26 | | std | 18.91 | | cv | 1.035 | | sampleLengths | | 0 | 64 | | 1 | 37 | | 2 | 53 | | 3 | 6 | | 4 | 78 | | 5 | 60 | | 6 | 3 | | 7 | 19 | | 8 | 10 | | 9 | 44 | | 10 | 8 | | 11 | 27 | | 12 | 6 | | 13 | 35 | | 14 | 4 | | 15 | 53 | | 16 | 36 | | 17 | 4 | | 18 | 2 | | 19 | 11 | | 20 | 76 | | 21 | 3 | | 22 | 34 | | 23 | 8 | | 24 | 45 | | 25 | 3 | | 26 | 2 | | 27 | 3 | | 28 | 5 | | 29 | 27 | | 30 | 15 | | 31 | 27 | | 32 | 12 | | 33 | 11 | | 34 | 8 | | 35 | 4 | | 36 | 13 | | 37 | 2 | | 38 | 52 | | 39 | 19 | | 40 | 7 | | 41 | 9 | | 42 | 11 | | 43 | 6 | | 44 | 4 | | 45 | 40 | | 46 | 1 | | 47 | 2 | | 48 | 16 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 166 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 201 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 20 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 183 | | ratio | 0.087 | | matches | | 0 | "The scent of wet asphalt, diesel, and something faintly coppery—blood?—clung to the air." | | 1 | "Three nights ago, they’d pulled a body from the Thames—DS Morris’s decomposed remains, eighteen months after he’d vanished mid-investigation." | | 2 | "Herrera turned sharply into the narrow gap between two buildings—no wider than a coffin." | | 3 | "The bar was empty except for one man at the counter—silent, still, back turned." | | 4 | "Then—a creak behind her." | | 5 | "Enough to reveal a gap beyond—narrow stone steps descending into blackness." | | 6 | "The smell of damp stone and something older—like old paper and burnt incense—clung to the walls." | | 7 | "Then the hum of trade—low haggling, whispers in languages she didn’t understand." | | 8 | "Figures moved through the fog—hooded, cloaked, some with too many eyes or fingers that bent too far." | | 9 | "She knew the name from Morris’s notes—pages scrawled in ballpoint, half-legible, recovered from his flat after he’d gone." | | 10 | "Then she saw him—Herrera—just ahead, speaking in rapid Spanish to a vendor with skin like cracked porcelain." | | 11 | "A figure stepped into her path—a woman with white hair and hollow eyes." | | 12 | "Her fingers brushed Morris’s old wallet—still in her possession, untouched since the funeral." | | 13 | "A child with too many teeth held up a mirror—her reflection blinked a second too late." | | 14 | "Ahead—light." | | 15 | "He was stuffing something into his jacket—Morris’s journal?—the one missing from evidence lockup." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1155 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Faint green light pulsed" |
| | adverbCount | 35 | | adverbRatio | 0.030303030303030304 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003463203463203463 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 183 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 183 | | mean | 7.19 | | std | 5.56 | | cv | 0.774 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 13 | | 3 | 13 | | 4 | 15 | | 5 | 10 | | 6 | 7 | | 7 | 3 | | 8 | 2 | | 9 | 19 | | 10 | 4 | | 11 | 3 | | 12 | 27 | | 13 | 6 | | 14 | 19 | | 15 | 8 | | 16 | 12 | | 17 | 13 | | 18 | 4 | | 19 | 7 | | 20 | 15 | | 21 | 14 | | 22 | 3 | | 23 | 6 | | 24 | 16 | | 25 | 11 | | 26 | 4 | | 27 | 6 | | 28 | 3 | | 29 | 4 | | 30 | 4 | | 31 | 2 | | 32 | 2 | | 33 | 7 | | 34 | 10 | | 35 | 13 | | 36 | 14 | | 37 | 5 | | 38 | 8 | | 39 | 4 | | 40 | 4 | | 41 | 4 | | 42 | 12 | | 43 | 4 | | 44 | 11 | | 45 | 6 | | 46 | 3 | | 47 | 3 | | 48 | 4 | | 49 | 2 |
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| 56.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3825136612021858 | | totalSentences | 183 | | uniqueOpeners | 70 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 12 | | totalSentences | 134 | | matches | | 0 | "Just waterlogged skin, eyes milky" | | 1 | "Too many unexplained gaps." | | 2 | "Too many records that didn’t" | | 3 | "Too many whispers in morgue" | | 4 | "Then—a creak behind her." | | 5 | "Just for a second." | | 6 | "Then the hum of trade—low" | | 7 | "Then she saw him—Herrera—just ahead," | | 8 | "Then he cursed under his" | | 9 | "Then a sprint." | | 10 | "Then, slowly, he reached into" | | 11 | "Somewhere deep in the tunnels," |
| | ratio | 0.09 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 134 | | matches | | 0 | "Her breath came sharp and" | | 1 | "She didn’t need to see" | | 2 | "She knew him." | | 3 | "She vaulted over a fallen" | | 4 | "Her worn leather watch dug" | | 5 | "Her shoulder scraped brick, jacket" | | 6 | "She reached it seconds later," | | 7 | "She knew the place." | | 8 | "She stepped forward, boots clicking" | | 9 | "She spun, gun drawn." | | 10 | "Her pulse throbbed in her" | | 11 | "She had no warrant." | | 12 | "She holstered her weapon, unclipped" | | 13 | "She rounded the corner." | | 14 | "She knew the name from" | | 15 | "She had nothing." | | 16 | "He handed over a small" | | 17 | "Their eyes locked." | | 18 | "Her training cutting through the" | | 19 | "She held out a skeletal" |
| | ratio | 0.269 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 134 | | matches | | 0 | "Rain fell hard on Soho’s" | | 1 | "Harlow Quinn moved fast, boots" | | 2 | "Her breath came sharp and" | | 3 | "The scent of wet asphalt," | | 4 | "A flash of silver at" | | 5 | "She didn’t need to see" | | 6 | "She knew him." | | 7 | "She vaulted over a fallen" | | 8 | "Her worn leather watch dug" | | 9 | "Herrera turned sharply into the" | | 10 | "Harlow didn’t hesitate." | | 11 | "Her shoulder scraped brick, jacket" | | 12 | "She reached it seconds later," | | 13 | "The door was unmarked." | | 14 | "*The Raven’s Nest.*" | | 15 | "She knew the place." | | 16 | "A dive in Soho." | | 17 | "Harlow kicked the door wider," | | 18 | "The bar was empty except" | | 19 | "She stepped forward, boots clicking" |
| | ratio | 0.672 | |
| 37.31% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 134 | | matches | | 0 | "Now Herrera ran, and Harlow" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 2 | | matches | | 0 | "Just waterlogged skin, eyes milky and staring, and a thin black chain wrapped around his wrist inscribed with symbols that didn’t exist in any language Harlow k…" | | 1 | "A man with no face offered her a locket that whispered her name." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0.143 | | effectiveRatio | 0.08 | |