| 11.32% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 5 | | adverbTags | | 0 | "He stepped back [back]" | | 1 | "Silas said quietly [quietly]" | | 2 | "The vendor's eyes glowed faintly [faintly]" | | 3 | "Quinn's weapon wavered slightly [slightly]" | | 4 | "The figure gestured around [around]" |
| | dialogueSentences | 53 | | tagDensity | 0.396 | | leniency | 0.792 | | rawRatio | 0.238 | | effectiveRatio | 0.189 | |
| 83.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1489 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sweetly" | | 1 | "really" | | 2 | "slightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 80.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 59.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1489 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "scanned" | | 1 | "flicker" | | 2 | "velvet" | | 3 | "footsteps" | | 4 | "unreadable" | | 5 | "crystalline" | | 6 | "pulsed" | | 7 | "echoed" | | 8 | "familiar" | | 9 | "wavered" | | 10 | "could feel" |
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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 | 89 | | matches | (empty) | |
| 46.55% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 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 | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1475 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1031 | | uniqueNames | 16 | | maxNameDensity | 2.13 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Shaftesbury | 1 | | Avenue | 1 | | Harlow | 1 | | Quinn | 22 | | British | 1 | | Museum | 1 | | Raven | 1 | | Nest | 4 | | Soho | 2 | | Saturday | 1 | | Morris | 6 | | Silas | 5 | | London | 1 | | Tube | 1 | | Camden | 1 | | Market | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Silas" |
| | places | | 0 | "Shaftesbury" | | 1 | "Avenue" | | 2 | "Nest" | | 3 | "Soho" | | 4 | "London" | | 5 | "Market" |
| | globalScore | 0.433 | | windowScore | 0 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "waistcoat that seemed to absorb the light" | | 1 | "features that seemed to shift and blur at the edges" | | 2 | "chorus that seemed to come from everywhere and nowhere at once" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.678 | | wordCount | 1475 | | matches | | 0 | "not voices exactly, but the sound of thoughts brushing against each other like moths" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 26.34 | | std | 16.99 | | cv | 0.645 | | sampleLengths | | 0 | 60 | | 1 | 82 | | 2 | 57 | | 3 | 44 | | 4 | 11 | | 5 | 18 | | 6 | 14 | | 7 | 68 | | 8 | 29 | | 9 | 57 | | 10 | 17 | | 11 | 13 | | 12 | 19 | | 13 | 5 | | 14 | 14 | | 15 | 31 | | 16 | 22 | | 17 | 23 | | 18 | 18 | | 19 | 19 | | 20 | 13 | | 21 | 37 | | 22 | 25 | | 23 | 27 | | 24 | 34 | | 25 | 6 | | 26 | 32 | | 27 | 6 | | 28 | 27 | | 29 | 35 | | 30 | 20 | | 31 | 28 | | 32 | 7 | | 33 | 32 | | 34 | 28 | | 35 | 10 | | 36 | 47 | | 37 | 19 | | 38 | 56 | | 39 | 19 | | 40 | 19 | | 41 | 13 | | 42 | 28 | | 43 | 10 | | 44 | 25 | | 45 | 20 | | 46 | 8 | | 47 | 21 | | 48 | 10 | | 49 | 45 |
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| 97.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 89 | | matches | | 0 | "been found" | | 1 | "being watched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 178 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 121 | | ratio | 0.099 | | matches | | 0 | "The woman—early thirties, dark hair, wearing a red coat—had been waiting for her at the end of the alley behind the British Museum." | | 1 | "Quinn had been watching that place for weeks, ever since the disappearances started—three young men, all last seen leaving the bar on Saturday nights." | | 2 | "The Nest was exactly what you'd expect from a dive bar in Soho—dim lighting, sticky tables, and the smell of stale beer mixed with something else that made her nose wrinkle." | | 3 | "\"Evening, love.\" The bartender—a pale man with slicked-back hair—looked up from polishing glasses." | | 4 | "But something felt wrong—like being watched by something that wasn't human." | | 5 | "The bartender laughed—a dry, rasping sound." | | 6 | "\"Now, now, Detective.\" Silas stepped out from behind the bar—tall, gaunt, wearing a velvet waistcoat that seemed to absorb the light." | | 7 | "The rain had slowed to a drizzle by now, but Quinn could hear footsteps above—boots on wet pavement, people hurrying home." | | 8 | "Quinn could hear whispers coming from within—not voices exactly, but the sound of thoughts brushing against each other like moths against glass." | | 9 | "The corridor opened into a vast cavern—the abandoned Tube station beneath Camden, but transformed." | | 10 | "Behind her, footsteps echoed—the red coat, moving deeper into the Market." | | 11 | "The figure's expression softened—just for a moment." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1047 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.03629417382999045 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013371537726838587 | |
| 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 | 12.19 | | std | 7.27 | | cv | 0.596 | | sampleLengths | | 0 | 16 | | 1 | 23 | | 2 | 21 | | 3 | 23 | | 4 | 12 | | 5 | 20 | | 6 | 2 | | 7 | 8 | | 8 | 17 | | 9 | 21 | | 10 | 12 | | 11 | 24 | | 12 | 15 | | 13 | 9 | | 14 | 20 | | 15 | 3 | | 16 | 8 | | 17 | 18 | | 18 | 2 | | 19 | 12 | | 20 | 3 | | 21 | 14 | | 22 | 20 | | 23 | 31 | | 24 | 11 | | 25 | 13 | | 26 | 5 | | 27 | 31 | | 28 | 11 | | 29 | 15 | | 30 | 13 | | 31 | 4 | | 32 | 11 | | 33 | 2 | | 34 | 12 | | 35 | 7 | | 36 | 5 | | 37 | 7 | | 38 | 7 | | 39 | 4 | | 40 | 10 | | 41 | 6 | | 42 | 11 | | 43 | 12 | | 44 | 10 | | 45 | 6 | | 46 | 12 | | 47 | 5 | | 48 | 5 | | 49 | 13 |
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| 79.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4793388429752066 | | totalSentences | 121 | | uniqueOpeners | 58 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Somewhere in the distance, she" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 83 | | matches | | 0 | "Her leather gloves were soaked" | | 1 | "She broke into a jog," | | 2 | "She skidded to a halt," | | 3 | "She'd spent months convincing herself" | | 4 | "she said, snapping off the" | | 5 | "She pushed through the door." | | 6 | "He poured a generous measure" | | 7 | "She scanned the room." | | 8 | "He gestured toward the opening" | | 9 | "He stepped back" | | 10 | "She'd spent three years wondering" | | 11 | "She stepped forward, her weapon" | | 12 | "she called out, but the" | | 13 | "Its voice was familiar somehow," | | 14 | "Her hand tightened around her" |
| | ratio | 0.181 | |
| 50.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 83 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "Her leather gloves were soaked" | | 3 | "The woman—early thirties, dark hair," | | 4 | "Quinn's hand instinctively went to" | | 5 | "That's what they'd called her" | | 6 | "She broke into a jog," | | 7 | "The woman had doubled back" | | 8 | "Quinn had been watching that" | | 9 | "The red coat disappeared through" | | 10 | "She skidded to a halt," | | 11 | "Static crackled back." | | 12 | "Quinn's jaw tightened." | | 13 | "She'd spent months convincing herself" | | 14 | "she said, snapping off the" | | 15 | "The green neon sign buzzed" | | 16 | "She pushed through the door." | | 17 | "The Nest was exactly what" | | 18 | "The bartender—a pale man with" | | 19 | "Quinn moved to the end" |
| | ratio | 0.819 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | | ratio | 0.012 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "She broke into a jog, her boots splashing through puddles that reflected the green glow of the Raven's Nest sign ahead." | | 1 | "Normal life continuing while she stood on the edge of something that defied explanation." | | 2 | "Quinn could feel something tugging at her mind, trying to pull her deeper into the Market, into whatever lay beyond the stalls and the shadows and the impossibl…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | 0 | "she called out, but the woman was already gone" |
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| 36.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 6 | | fancyTags | | 0 | "Silas chuckled (chuckle)" | | 1 | "Quinn demanded (demand)" | | 2 | "a vendor hissed (hiss)" | | 3 | "she called out (call out)" | | 4 | "Quinn demanded (demand)" | | 5 | "she whispered (whisper)" |
| | dialogueSentences | 53 | | tagDensity | 0.189 | | leniency | 0.377 | | rawRatio | 0.6 | | effectiveRatio | 0.226 | |