| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1121 | | totalAiIsmAdverbs | 4 | | 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) | |
| 68.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1121 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "scanned" | | 1 | "weight" | | 2 | "footsteps" | | 3 | "echoing" | | 4 | "pulse" | | 5 | "flicker" | | 6 | "glistening" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1112 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.47% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 956 | | uniqueNames | 12 | | maxNameDensity | 1.15 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 11 | | Raven | 1 | | Nest | 2 | | London | 2 | | Victorian | 2 | | British | 1 | | Eastern | 1 | | European | 1 | | Veil | 2 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Nest" | | 3 | "Market" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "London" | | 3 | "Veil" |
| | globalScore | 0.925 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | 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 | 1112 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 22.24 | | std | 15.98 | | cv | 0.718 | | sampleLengths | | 0 | 48 | | 1 | 25 | | 2 | 51 | | 3 | 10 | | 4 | 61 | | 5 | 16 | | 6 | 44 | | 7 | 4 | | 8 | 26 | | 9 | 26 | | 10 | 3 | | 11 | 10 | | 12 | 18 | | 13 | 4 | | 14 | 9 | | 15 | 53 | | 16 | 39 | | 17 | 16 | | 18 | 3 | | 19 | 8 | | 20 | 39 | | 21 | 42 | | 22 | 23 | | 23 | 20 | | 24 | 11 | | 25 | 19 | | 26 | 12 | | 27 | 24 | | 28 | 10 | | 29 | 23 | | 30 | 7 | | 31 | 25 | | 32 | 26 | | 33 | 39 | | 34 | 3 | | 35 | 29 | | 36 | 10 | | 37 | 36 | | 38 | 3 | | 39 | 31 | | 40 | 6 | | 41 | 17 | | 42 | 4 | | 43 | 13 | | 44 | 46 | | 45 | 60 | | 46 | 9 | | 47 | 24 | | 48 | 11 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 73.42% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 158 | | matches | | 0 | "was screaming" | | 1 | "wasn't running" | | 2 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 116 | | ratio | 0.078 | | matches | | 0 | "She'd caught a glimpse of his face as he'd shoved past a group of tourists—pale, sharp-featured, eyes that caught the streetlight like a cat's." | | 1 | "The rain drummed against the corrugated roofing of a storage shed, and somewhere in the distance, a siren wailed—the eternal lullaby of London at night." | | 2 | "The smell hit her first—wet stone, stagnant water, and something else." | | 3 | "The tunnel opened into a wider chamber—an old station platform, abandoned and decaying." | | 4 | "Behind the suspect, the tunnel exhaled a breath—warm and dry, carrying the scent of incense and ozone." | | 5 | "Her radio crackled again—backup was five minutes out." | | 6 | "The air changed—warm, dry, carrying the murmur of a crowd." | | 7 | "Creatures moved through the crowd—people, mostly, but some with features that didn't belong." | | 8 | "Eyes watched her—curious, hostile, hungry." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 966 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.020703933747412008 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006211180124223602 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 9.59 | | std | 6.64 | | cv | 0.693 | | sampleLengths | | 0 | 19 | | 1 | 29 | | 2 | 13 | | 3 | 1 | | 4 | 11 | | 5 | 24 | | 6 | 27 | | 7 | 5 | | 8 | 5 | | 9 | 23 | | 10 | 15 | | 11 | 19 | | 12 | 4 | | 13 | 14 | | 14 | 2 | | 15 | 7 | | 16 | 3 | | 17 | 9 | | 18 | 25 | | 19 | 4 | | 20 | 9 | | 21 | 17 | | 22 | 10 | | 23 | 16 | | 24 | 3 | | 25 | 3 | | 26 | 7 | | 27 | 4 | | 28 | 14 | | 29 | 4 | | 30 | 2 | | 31 | 7 | | 32 | 14 | | 33 | 20 | | 34 | 11 | | 35 | 8 | | 36 | 4 | | 37 | 9 | | 38 | 9 | | 39 | 17 | | 40 | 1 | | 41 | 15 | | 42 | 3 | | 43 | 4 | | 44 | 4 | | 45 | 10 | | 46 | 16 | | 47 | 13 | | 48 | 13 | | 49 | 7 |
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| 58.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.39655172413793105 | | totalSentences | 116 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 87 | | matches | | 0 | "Too fast for a normal" | | 1 | "Then she saw it." | | 2 | "Of course he didn't." |
| | ratio | 0.034 | |
| 95.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 87 | | matches | | 0 | "She'd caught a glimpse of" | | 1 | "He wore a dark coat" | | 2 | "He'd disappeared down this alley." | | 3 | "She was sure of it." | | 4 | "She kept her right hand" | | 5 | "It was screaming now." | | 6 | "She scanned the space, her" | | 7 | "She crouched beside it, shining" | | 8 | "Her radio crackled." | | 9 | "She thumbed the button." | | 10 | "Her boots hit concrete." | | 11 | "She straightened and swept her" | | 12 | "She followed without hesitation, her" | | 13 | "He wasn't running anymore." | | 14 | "He was waiting." | | 15 | "His voice carried an accent" | | 16 | "It was a thin, predatory" | | 17 | "He laughed, and the sound" | | 18 | "He tilted his head, studying" | | 19 | "She'd heard whispers about it" |
| | ratio | 0.31 | |
| 40.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 87 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "The figure had bolted when" | | 3 | "She'd caught a glimpse of" | | 4 | "He wore a dark coat" | | 5 | "He'd disappeared down this alley." | | 6 | "She was sure of it." | | 7 | "Quinn pushed off from the" | | 8 | "She kept her right hand" | | 9 | "It was screaming now." | | 10 | "The alley opened into a" | | 11 | "She scanned the space, her" | | 12 | "The rain drummed against the" | | 13 | "A manhole cover near the" | | 14 | "She crouched beside it, shining" | | 15 | "The light caught the remnants" | | 16 | "Her radio crackled." | | 17 | "She thumbed the button." | | 18 | "The trail would be cold" | | 19 | "Quinn holstered her flashlight and" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "She'd caught a glimpse of his face as he'd shoved past a group of tourists—pale, sharp-featured, eyes that caught the streetlight like a cat's." | | 1 | "He wore a dark coat that billowed behind him as he ran, and he moved with an unnatural fluidity that made something cold settle in Quinn's gut." | | 2 | "Quinn pushed off from the wall and moved forward, her boots splashing through puddles that reflected the green glow of the Nest's sign." | | 3 | "The suspect's smile widened, as if he could read the indecision playing across her face." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 17 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0.5 | | effectiveRatio | 0.118 | |