| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1306 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 65.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1306 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "vibrated" | | 2 | "electric" | | 3 | "gleaming" | | 4 | "footsteps" | | 5 | "echoing" | | 6 | "echoed" | | 7 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 121 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1301 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1295 | | uniqueNames | 18 | | maxNameDensity | 0.77 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 10 | | Herrera | 9 | | Saint | 1 | | Christopher | 1 | | Dean | 1 | | Street | 2 | | High | 1 | | Tube | 1 | | Oyster | 1 | | Veil | 1 | | Market | 1 | | Camden | 2 | | Met | 1 | | Soho | 1 | | Morris | 2 | | Glock | 1 | | Rain | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Market" | | 6 | "Met" | | 7 | "Morris" | | 8 | "Rain" |
| | places | | 0 | "Dean" | | 1 | "Street" | | 2 | "High" | | 3 | "Camden" | | 4 | "Soho" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like the morgue where Morris had l" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.306 | | wordCount | 1301 | | matches | | 0 | "Not the main station with its bright lights and Oyster readers, but the old one, abandoned since the sixties, its mouth gaping l" | | 1 | "Not a sound, but a vibration" | | 2 | "No sound but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 52.04 | | std | 27.19 | | cv | 0.522 | | sampleLengths | | 0 | 73 | | 1 | 72 | | 2 | 60 | | 3 | 68 | | 4 | 48 | | 5 | 66 | | 6 | 94 | | 7 | 78 | | 8 | 44 | | 9 | 7 | | 10 | 49 | | 11 | 102 | | 12 | 33 | | 13 | 97 | | 14 | 13 | | 15 | 29 | | 16 | 58 | | 17 | 63 | | 18 | 23 | | 19 | 42 | | 20 | 26 | | 21 | 10 | | 22 | 82 | | 23 | 18 | | 24 | 46 |
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| 99.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 121 | | matches | | 0 | "been found" | | 1 | "been closed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 221 | | matches | (empty) | |
| 24.79% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 121 | | ratio | 0.041 | | matches | | 0 | "Camden High Street exploded with colour ahead—neon signs in pink and green and electric blue, market stalls crowded with tourists, the chaos of night commerce." | | 1 | "The entrance breathed cold air upward, smelling of earth and rust and something else—something ancient." | | 2 | "He pulled something from his pocket—a small object, white and curved, ridged with grooves." | | 3 | "Each step was slick with moisture and something else—phosphorescent moss that clung to the concrete in sickly green patches, pulsing with a faint bioluminescence." | | 4 | "Faces turned toward her—too pale, too still, eyes that reflected her flashlight beam like mirrors, like the eyes of deep-sea fish." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1303 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.01918649270913277 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004604758250191865 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 10.75 | | std | 7.86 | | cv | 0.731 | | sampleLengths | | 0 | 6 | | 1 | 18 | | 2 | 19 | | 3 | 21 | | 4 | 9 | | 5 | 16 | | 6 | 12 | | 7 | 25 | | 8 | 6 | | 9 | 4 | | 10 | 9 | | 11 | 5 | | 12 | 6 | | 13 | 4 | | 14 | 14 | | 15 | 4 | | 16 | 27 | | 17 | 21 | | 18 | 2 | | 19 | 19 | | 20 | 11 | | 21 | 15 | | 22 | 9 | | 23 | 9 | | 24 | 9 | | 25 | 3 | | 26 | 4 | | 27 | 14 | | 28 | 6 | | 29 | 10 | | 30 | 24 | | 31 | 11 | | 32 | 12 | | 33 | 3 | | 34 | 25 | | 35 | 11 | | 36 | 13 | | 37 | 19 | | 38 | 26 | | 39 | 6 | | 40 | 31 | | 41 | 19 | | 42 | 7 | | 43 | 15 | | 44 | 5 | | 45 | 9 | | 46 | 14 | | 47 | 5 | | 48 | 1 | | 49 | 10 |
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| 49.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.36363636363636365 | | totalSentences | 121 | | uniqueOpeners | 44 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 114 | | matches | | 0 | "Then he turned and walked" | | 1 | "Perhaps something down there imitated" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 114 | | matches | | 0 | "She kept pace with the" | | 1 | "He had been a paramedic" | | 2 | "She remembered the file." | | 3 | "He cut across Dean Street." | | 4 | "She didn't break stride." | | 5 | "Her breath came in sharp" | | 6 | "He stopped at the alley's" | | 7 | "His warm brown eyes met" | | 8 | "He didn't speak." | | 9 | "He didn't need to." | | 10 | "He turned and sprinted toward" | | 11 | "They passed under a railway" | | 12 | "He tore free, fabric ripping," | | 13 | "He didn't slow." | | 14 | "He headed for the Tube" | | 15 | "He pulled something from his" | | 16 | "He pressed the token against" | | 17 | "She had heard the rumours" | | 18 | "Their files marked their cases" | | 19 | "He smiled, showing teeth." |
| | ratio | 0.289 | |
| 34.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 114 | | matches | | 0 | "Rain lashed the pavement in" | | 1 | "Detective Harlow Quinn's boots struck" | | 2 | "She kept pace with the" | | 3 | "The leather watch on her" | | 4 | "Water streamed down her neck," | | 5 | "Tomás Herrera ran with a" | | 6 | "Rain darkened his curly brown" | | 7 | "The scar on his left" | | 8 | "He had been a paramedic" | | 9 | "She remembered the file." | | 10 | "He cut across Dean Street." | | 11 | "A black cab swerved, tires" | | 12 | "Herrera didn't look back." | | 13 | "Quinn veered left, her shoulder" | | 14 | "She didn't break stride." | | 15 | "Herrera ducked into a narrow" | | 16 | "The alley reeked of urine" | | 17 | "Her breath came in sharp" | | 18 | "The watch ticked a steady" | | 19 | "He stopped at the alley's" |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 11 | | matches | | 0 | "Detective Harlow Quinn's boots struck the wet asphalt, sending up sprays that caught the amber glow of streetlamps." | | 1 | "Quinn veered left, her shoulder brushing a brick wall, paint flaking onto her coat." | | 2 | "They passed under a railway bridge where the rain fell harder, drumming against the iron girders, creating a percussion that vibrated in her teeth." | | 3 | "Not a sound, but a vibration that travelled up Quinn's spine, rattling her teeth." | | 4 | "The gates swung open, revealing stairs that descended into absolute blackness." | | 5 | "An abandoned station beneath Camden that moved with the full moon, that sold enchanted goods and banned alchemical substances and information that could unmake …" | | 6 | "Each step was slick with moisture and something else—phosphorescent moss that clung to the concrete in sickly green patches, pulsing with a faint bioluminescenc…" | | 7 | "Something that wore a human shape and left behind teeth marks in the drywall, and a smell like burning hair and rotting lilies." | | 8 | "Merchants sat behind tables laden with glass vials, grimoires bound in leather that moved when touched, jars containing things that squirmed and glowed." | | 9 | "Faces turned toward her—too pale, too still, eyes that reflected her flashlight beam like mirrors, like the eyes of deep-sea fish." | | 10 | "She stepped forward, her shadow stretching long across the tiles, her boots splashing through a puddle that hadn't been there a moment ago, toward the heart of …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |