| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 890 | | totalAiIsmAdverbs | 1 | | 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) | |
| 43.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 890 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "predator" | | 1 | "footfall" | | 2 | "flicker" | | 3 | "sanctuary" | | 4 | "footsteps" | | 5 | "echoed" | | 6 | "electric" | | 7 | "standard" | | 8 | "tinged" | | 9 | "fleeting" |
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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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 881 | | ratio | 0.008 | | matches | | 0 | "The Raven's Nest" | | 1 | "Someone's daughter, someone's friend." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 849 | | uniqueNames | 11 | | maxNameDensity | 1.88 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 16 | | Raven | 2 | | Nest | 2 | | Tube | 1 | | Camden | 1 | | Veil | 2 | | Market | 2 | | Morris | 2 | | Glock | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Market" | | 4 | "Morris" |
| | places | | | globalScore | 0.558 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 881 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 35.24 | | std | 22.31 | | cv | 0.633 | | sampleLengths | | 0 | 73 | | 1 | 63 | | 2 | 51 | | 3 | 45 | | 4 | 21 | | 5 | 66 | | 6 | 12 | | 7 | 51 | | 8 | 49 | | 9 | 40 | | 10 | 4 | | 11 | 50 | | 12 | 39 | | 13 | 13 | | 14 | 13 | | 15 | 5 | | 16 | 78 | | 17 | 3 | | 18 | 31 | | 19 | 42 | | 20 | 33 | | 21 | 42 | | 22 | 43 | | 23 | 9 | | 24 | 5 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 92 | | matches | | 0 | "were swallowed" | | 1 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 147 | | matches | | 0 | "wasn't just running" | | 1 | "was panicking" | | 2 | "was heading" | | 3 | "was waiting" | | 4 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 96 | | ratio | 0.094 | | matches | | 0 | "Detective Harlow Quinn moved through it with the economy of a predator—each footfall precise, breath controlled, eyes locked on the figure twenty yards ahead." | | 1 | "Her boots splashed through a puddle that caught the green flicker of a distant neon sign—the same sign that marked Silas' bar." | | 2 | "Quinn knew the area—Camden lay beneath these streets, a warren of forgotten tunnels and old rail lines." | | 3 | "A pale glow rose from below, not electric—something softer, almost organic." | | 4 | "The symbols, the hidden market, the way the suspect moved like he knew exactly where to go—it stank of the supernatural." | | 5 | "The light grew stronger, tinged with blue and green, and the air changed—thicker, carrying a scent of incense and damp stone." | | 6 | "He laughed—a brittle sound." | | 7 | "Stalls and tents lined the walls, selling things Quinn couldn't immediately identify—jars of murky liquid, bones strung on wire, books bound in unfamiliar leather." | | 8 | "A hand brushed her shoulder—cold, fleeting." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 194 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.015463917525773196 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.005154639175257732 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 9.18 | | std | 5.75 | | cv | 0.627 | | sampleLengths | | 0 | 21 | | 1 | 24 | | 2 | 6 | | 3 | 14 | | 4 | 2 | | 5 | 3 | | 6 | 3 | | 7 | 8 | | 8 | 11 | | 9 | 28 | | 10 | 6 | | 11 | 5 | | 12 | 5 | | 13 | 15 | | 14 | 4 | | 15 | 22 | | 16 | 3 | | 17 | 7 | | 18 | 11 | | 19 | 11 | | 20 | 7 | | 21 | 4 | | 22 | 3 | | 23 | 9 | | 24 | 14 | | 25 | 3 | | 26 | 4 | | 27 | 14 | | 28 | 7 | | 29 | 17 | | 30 | 19 | | 31 | 9 | | 32 | 8 | | 33 | 2 | | 34 | 2 | | 35 | 13 | | 36 | 9 | | 37 | 11 | | 38 | 2 | | 39 | 14 | | 40 | 2 | | 41 | 8 | | 42 | 5 | | 43 | 21 | | 44 | 15 | | 45 | 11 | | 46 | 1 | | 47 | 2 | | 48 | 6 | | 49 | 20 |
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| 53.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.375 | | totalSentences | 96 | | uniqueOpeners | 36 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 85 | | matches | | 0 | "Maybe a blade." | | 1 | "Of course he didn't." |
| | ratio | 0.024 | |
| 97.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 85 | | matches | | 0 | "His coat flapped open, revealing" | | 1 | "It didn't matter." | | 2 | "Her worn leather watch slapped" | | 3 | "She'd been tracking this bastard" | | 4 | "Her boots splashed through a" | | 5 | "She filed that detail away" | | 6 | "He saw her, and his" | | 7 | "He wasn't just running." | | 8 | "He was panicking." | | 9 | "she shouted, though the words" | | 10 | "He didn't stop." | | 11 | "He veered toward a black" | | 12 | "She'd heard whispers of the" | | 13 | "She reached the gate as" | | 14 | "Her hand went to the" | | 15 | "She took the stairs." | | 16 | "He straightened when he saw" | | 17 | "he said, his voice a" | | 18 | "He laughed—a brittle sound." | | 19 | "He shook his head, backing" |
| | ratio | 0.306 | |
| 30.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 85 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn moved through" | | 2 | "The man was fast, but" | | 3 | "His coat flapped open, revealing" | | 4 | "It didn't matter." | | 5 | "Quinn's lungs burned with the" | | 6 | "Her worn leather watch slapped" | | 7 | "She'd been tracking this bastard" | | 8 | "The forensics team called it" | | 9 | "Quinn called it a lead." | | 10 | "The suspect ducked left, vanishing" | | 11 | "Quinn followed without hesitation." | | 12 | "Her boots splashed through a" | | 13 | "*The Raven's Nest*." | | 14 | "She filed that detail away" | | 15 | "The alley opened onto a" | | 16 | "The suspect glanced back, his" | | 17 | "He saw her, and his" | | 18 | "He wasn't just running." | | 19 | "He was panicking." |
| | ratio | 0.859 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 43.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 5 | | matches | | 0 | "The rain fell in sheets, a cold, relentless assault that turned the streets of Soho into mirrors of neon and headlights." | | 1 | "The suspect ducked left, vanishing into an alley that smelled of piss and rotting rubbish." | | 2 | "He veered toward a black cast-iron gate that led to steps descending into darkness." | | 3 | "She'd heard whispers of the Veil Market, a place where the city's underbelly trafficked in things that defied explanation." | | 4 | "The suspect was waiting at the bottom, bent over, hands on his knees, gasping for air." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "she shouted, though the words were swallowed by the drumming rain" | | 1 | "he said, his voice a ragged rasp" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "A voice whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.667 | | effectiveRatio | 0.571 | |