| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her attention flicked back [back]" |
| | dialogueSentences | 21 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.083 | | effectiveRatio | 0.083 | |
| 80.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1032 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "cautiously" | | 1 | "very" | | 2 | "quickly" | | 3 | "slowly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1032 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "echoing" | | 1 | "oppressive" | | 2 | "silence" | | 3 | "sense of" | | 4 | "foreboding" | | 5 | "could feel" | | 6 | "chaotic" | | 7 | "glinting" | | 8 | "familiar" | | 9 | "shattered" | | 10 | "intricate" | | 11 | "tracing" | | 12 | "predator" | | 13 | "whisper" | | 14 | "amidst" | | 15 | "tapestry" | | 16 | "flicked" | | 17 | "facade" | | 18 | "echoes" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "sense of foreboding" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "a sense of foreboding" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 51 | | matches | | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 51 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1018 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 781 | | uniqueNames | 10 | | maxNameDensity | 1.54 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 12 | | Tube | 1 | | Camden | 1 | | Veil | 1 | | Market | 3 | | Londoners | 1 | | Eva | 11 | | Kowalski | 1 | | Detective | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Veil" | | 3 | "Londoners" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Detective" |
| | places | | | globalScore | 0.732 | | windowScore | 0.667 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed frozen in time, caught in the act of its sordid business" | | 1 | "as if seeking escape in the very walls" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1018 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 44.63% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 46.27 | | std | 14.17 | | cv | 0.306 | | sampleLengths | | 0 | 76 | | 1 | 51 | | 2 | 71 | | 3 | 46 | | 4 | 39 | | 5 | 58 | | 6 | 39 | | 7 | 43 | | 8 | 40 | | 9 | 28 | | 10 | 26 | | 11 | 53 | | 12 | 35 | | 13 | 50 | | 14 | 58 | | 15 | 46 | | 16 | 51 | | 17 | 24 | | 18 | 51 | | 19 | 68 | | 20 | 41 | | 21 | 24 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 60 | | ratio | 0.117 | | matches | | 0 | "Around her, the crime scene investigators moved with the same military precision she respected, but there was something off in their demeanor—an air of discomfort, maybe even reluctance." | | 1 | "Trinkets and talismans, glass vials filled with mysterious liquids, and piles of parchments covered in arcane symbols—spoils of a world most Londoners knew nothing about." | | 2 | "Detective Quinn stepped closer, examining the figure—a man dressed in shabby, dark clothing, his life’s essence drained." | | 3 | "She approached the witness—a gaunt man, grime layered on his skin like a grotesque shield." | | 4 | "Her gut twinged—a compass pointed toward supernatural rifts was unique, attuned to the Market’s nature, yet..." | | 5 | "She noticed another detail: beneath the body, hidden amidst crumpled papers, lay a bone token—a key to the Market's entry." | | 6 | "The pattern of bruises, the hurried shadow, the betrayal of silence—all threads leading to a tangled tapestry of motive and arcane mischief." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 792 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.023989898989898988 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010101010101010102 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 16.97 | | std | 7.66 | | cv | 0.451 | | sampleLengths | | 0 | 24 | | 1 | 21 | | 2 | 20 | | 3 | 11 | | 4 | 28 | | 5 | 23 | | 6 | 31 | | 7 | 25 | | 8 | 15 | | 9 | 14 | | 10 | 15 | | 11 | 17 | | 12 | 33 | | 13 | 6 | | 14 | 16 | | 15 | 17 | | 16 | 25 | | 17 | 12 | | 18 | 6 | | 19 | 14 | | 20 | 7 | | 21 | 9 | | 22 | 34 | | 23 | 7 | | 24 | 33 | | 25 | 9 | | 26 | 19 | | 27 | 6 | | 28 | 10 | | 29 | 10 | | 30 | 15 | | 31 | 11 | | 32 | 27 | | 33 | 10 | | 34 | 25 | | 35 | 22 | | 36 | 17 | | 37 | 11 | | 38 | 12 | | 39 | 20 | | 40 | 14 | | 41 | 12 | | 42 | 10 | | 43 | 20 | | 44 | 16 | | 45 | 20 | | 46 | 13 | | 47 | 10 | | 48 | 8 | | 49 | 10 |
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| 78.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.48333333333333334 | | totalSentences | 60 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 47.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 51 | | matches | | 0 | "Her watch, with its battered" | | 1 | "She squinted into the shadows," | | 2 | "She could feel it like" | | 3 | "She recognized Eva Kowalski's curly" | | 4 | "It signaled both nervousness and" | | 5 | "It certainly wasn’t your run-of-the-mill" | | 6 | "She crouched closer, tracing a" | | 7 | "she murmured, reaching into her" | | 8 | "Her instinct screamed at her" | | 9 | "She approached the witness—a gaunt" | | 10 | "His eyes darted, as if" | | 11 | "she replied, her voice not" | | 12 | "She turned away, leaving the" | | 13 | "Its casing was tarnished, its" | | 14 | "She recalled shadows of occult" | | 15 | "Her gut twinged—a compass pointed" | | 16 | "She noticed another detail: beneath" | | 17 | "Its surface bore streaks of" | | 18 | "she called, as her fingers" | | 19 | "She straightened, her voice cutting" |
| | ratio | 0.431 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 51 | | matches | | 0 | "Detective Harlow Quinn strode down" | | 1 | "Her watch, with its battered" | | 2 | "The air here was thick" | | 3 | "She squinted into the shadows," | | 4 | "She could feel it like" | | 5 | "The Veil Market spread before" | | 6 | "Trinkets and talismans, glass vials" | | 7 | "This underground bazaar seemed frozen" | | 8 | "Detective Quinn glanced sideways at" | | 9 | "She recognized Eva Kowalski's curly" | | 10 | "Eva rose, adjusting her round" | | 11 | "Eva said, moving to tuck" | | 12 | "It signaled both nervousness and" | | 13 | "A body lay sprawled across" | | 14 | "Detective Quinn stepped closer, examining" | | 15 | "The cause of death looked" | | 16 | "Quinn's jaw tightened as she" | | 17 | "It certainly wasn’t your run-of-the-mill" | | 18 | "She crouched closer, tracing a" | | 19 | "Eva leaned forward, her face" |
| | ratio | 0.961 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn studied him, silent as a predator sizing up its prey, catching the twitch of his fingers, a tell of withholding more." | | 1 | "She straightened, her voice cutting through the stagnation like a path forged, rescuing clarity from chaos." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Eva suggested (suggest)" | | 2 | "Quinn murmured (murmur)" |
| | dialogueSentences | 21 | | tagDensity | 0.381 | | leniency | 0.762 | | rawRatio | 0.375 | | effectiveRatio | 0.286 | |