| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said slowly [slowly]" |
| | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0.111 | | effectiveRatio | 0.087 | |
| 82.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 877 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "slightly" | | 2 | "slowly" |
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| 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) | |
| 8.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 877 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "fluttered" | | 1 | "clandestine" | | 2 | "familiar" | | 3 | "racing" | | 4 | "weight" | | 5 | "tracing" | | 6 | "navigating" | | 7 | "etched" | | 8 | "tinged" | | 9 | "flicked" | | 10 | "could feel" | | 11 | "unspoken" | | 12 | "reminder" | | 13 | "echoes" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 46 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 873 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 49.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 696 | | uniqueNames | 12 | | maxNameDensity | 2.01 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 14 | | Quinn | 2 | | Tube | 1 | | Veil | 2 | | Market | 1 | | Camden | 1 | | Kowalski | 1 | | Eva | 9 | | Sergeant | 1 | | Blake | 5 | | Compass | 1 | | Together | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Sergeant" | | 6 | "Blake" | | 7 | "Compass" |
| | places | (empty) | | globalScore | 0.494 | | windowScore | 0.667 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | 0 | "as if sensing the energy that lingered in the air" |
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| 85.45% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.145 | | wordCount | 873 | | matches | | 0 | "Not physically, but something else" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 98.12% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 37.96 | | std | 18.73 | | cv | 0.493 | | sampleLengths | | 0 | 79 | | 1 | 61 | | 2 | 69 | | 3 | 37 | | 4 | 15 | | 5 | 39 | | 6 | 69 | | 7 | 27 | | 8 | 25 | | 9 | 42 | | 10 | 44 | | 11 | 18 | | 12 | 32 | | 13 | 25 | | 14 | 43 | | 15 | 21 | | 16 | 60 | | 17 | 11 | | 18 | 20 | | 19 | 39 | | 20 | 19 | | 21 | 28 | | 22 | 50 |
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| 67.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 46 | | matches | | 0 | "been overturned" | | 1 | "was twisted" | | 2 | "were strewn" | | 3 | "was etched" | | 4 | "were traded" | | 5 | "were bartered" |
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| 67.99% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 101 | | matches | | 0 | "was speaking" | | 1 | "was already racing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 60 | | ratio | 0.05 | | matches | | 0 | "The air was thick with the scent of mildew and something else—something metallic and sharp that set her instincts on edge." | | 1 | "Around him, the remnants of his stall—a collection of trinkets and oddities—were strewn about, as if caught in a whirlwind." | | 2 | "Harlow recognized it immediately—a Veil Compass, a tool for navigating the supernatural." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 701 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.025677603423680456 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009985734664764621 | |
| 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 | 14.55 | | std | 6.89 | | cv | 0.473 | | sampleLengths | | 0 | 29 | | 1 | 21 | | 2 | 29 | | 3 | 19 | | 4 | 20 | | 5 | 22 | | 6 | 24 | | 7 | 20 | | 8 | 25 | | 9 | 10 | | 10 | 21 | | 11 | 6 | | 12 | 15 | | 13 | 21 | | 14 | 18 | | 15 | 10 | | 16 | 21 | | 17 | 18 | | 18 | 20 | | 19 | 13 | | 20 | 6 | | 21 | 8 | | 22 | 20 | | 23 | 5 | | 24 | 11 | | 25 | 31 | | 26 | 12 | | 27 | 11 | | 28 | 21 | | 29 | 12 | | 30 | 6 | | 31 | 17 | | 32 | 13 | | 33 | 2 | | 34 | 6 | | 35 | 19 | | 36 | 24 | | 37 | 11 | | 38 | 8 | | 39 | 12 | | 40 | 9 | | 41 | 9 | | 42 | 13 | | 43 | 13 | | 44 | 7 | | 45 | 18 | | 46 | 7 | | 47 | 4 | | 48 | 15 | | 49 | 5 |
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| 80.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.48333333333333334 | | totalSentences | 60 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 45 | | matches | | 0 | "She adjusted the collar of" | | 1 | "It was Sergeant Blake, a" | | 2 | "His eyes were open, staring" | | 3 | "she said, her voice low" | | 4 | "She pointed to a small" | | 5 | "She reached out, carefully prying" | | 6 | "she said, more to herself" | | 7 | "she said, her voice thoughtful" | | 8 | "She turned to Blake, her" | | 9 | "she said slowly" |
| | ratio | 0.222 | |
| 37.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 45 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air was thick with" | | 2 | "She adjusted the collar of" | | 3 | "The Veil Market, hidden beneath" | | 4 | "Tonight, it was a crime" | | 5 | "The usual hum of clandestine" | | 6 | "Harlow's gaze settled on the" | | 7 | "Eva Kowalski, her friend and" | | 8 | "a voice called out, pulling" | | 9 | "It was Sergeant Blake, a" | | 10 | "Harlow asked, her voice steady," | | 11 | "Blake gestured toward the center" | | 12 | "Harlow nodded, her eyes narrowing" | | 13 | "The victim, a middle-aged man" | | 14 | "His eyes were open, staring" | | 15 | "Eva joined her, the familiar" | | 16 | "she said, her voice low" | | 17 | "Harlow crouched beside the body," | | 18 | "Eva adjusted her glasses, her" | | 19 | "She pointed to a small" |
| | ratio | 0.844 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 45 | | matches | | 0 | "Even from a distance, Harlow" |
| | ratio | 0.022 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "She adjusted the collar of her coat, the fabric brushing against her sharp jawline, and surveyed the scene with the practiced eye of someone who had seen too mu…" | | 1 | "Eva Kowalski, her friend and sometimes informant, was speaking animatedly with a uniformed officer, her hands gesturing in wide arcs." | | 2 | "Around him, the remnants of his stall—a collection of trinkets and oddities—were strewn about, as if caught in a whirlwind." | | 3 | "The face was etched with protective sigils, the needle quivering slightly as if sensing the energy that lingered in the air." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice low" | | 1 | "She pointed, its casing tarnished with verdigris" | | 2 | "she said, more to herself than to Eva" | | 3 | "she said, her voice thoughtful" |
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| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "a voice called out (call out)" | | 1 | "Eva murmured (murmur)" | | 2 | "she admitted (admit)" |
| | dialogueSentences | 23 | | tagDensity | 0.348 | | leniency | 0.696 | | rawRatio | 0.375 | | effectiveRatio | 0.261 | |