| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 800 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 18.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 800 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "flicker" | | 2 | "silence" | | 3 | "glistening" | | 4 | "glinting" | | 5 | "measured" | | 6 | "weight" | | 7 | "echoing" | | 8 | "gloom" | | 9 | "pulsed" | | 10 | "etched" | | 11 | "shimmered" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 14 | | totalWords | 793 | | ratio | 0.018 | | matches | | 0 | "Morris would’ve known that move." | | 1 | "\"You’re not supposed to be here.\"" | | 2 | "The Raven’s Nest." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 710 | | uniqueNames | 7 | | maxNameDensity | 1.69 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Quinn | 12 | | Raven | 1 | | Tomás | 6 |
| | persons | | 0 | "Camden" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Quinn" | | 5 | "Raven" | | 6 | "Tomás" |
| | places | (empty) | | globalScore | 0.655 | | windowScore | 0.833 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 2 | | matches | | 0 | "quite reach the surface" | | 1 | "quite reach the surface" |
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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 | 793 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 24.78 | | std | 21.69 | | cv | 0.875 | | sampleLengths | | 0 | 1 | | 1 | 47 | | 2 | 42 | | 3 | 56 | | 4 | 2 | | 5 | 15 | | 6 | 7 | | 7 | 50 | | 8 | 11 | | 9 | 7 | | 10 | 35 | | 11 | 14 | | 12 | 75 | | 13 | 6 | | 14 | 8 | | 15 | 32 | | 16 | 64 | | 17 | 16 | | 18 | 10 | | 19 | 58 | | 20 | 9 | | 21 | 51 | | 22 | 12 | | 23 | 11 | | 24 | 10 | | 25 | 14 | | 26 | 6 | | 27 | 51 | | 28 | 11 | | 29 | 51 | | 30 | 5 | | 31 | 6 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "was—vanished" | | 1 | "were filled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 9.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 86 | | ratio | 0.047 | | matches | | 0 | "The alley smelled of damp concrete and something sharper—burnt sugar, like the charred remnants of a candy stall’s last sale." | | 1 | "The suspect—if that’s what he was—vanished into the labyrinth of Camden’s backstreets." | | 2 | "The air below smelled of ozone and something older—damp earth, rusted metal, the faint metallic tang of blood that wasn’t hers." | | 3 | "The woman’s stalls were filled with things that shouldn’t exist—enchanted knives, vials of liquid that shimmered like liquid starlight, books bound in human skin." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 367 | | adjectiveStacks | 1 | | stackExamples | | 0 | "white against dark skin." |
| | adverbCount | 11 | | adverbRatio | 0.02997275204359673 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005449591280653951 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 9.21 | | std | 6.06 | | cv | 0.658 | | sampleLengths | | 0 | 20 | | 1 | 23 | | 2 | 4 | | 3 | 12 | | 4 | 17 | | 5 | 9 | | 6 | 4 | | 7 | 12 | | 8 | 23 | | 9 | 14 | | 10 | 7 | | 11 | 2 | | 12 | 9 | | 13 | 6 | | 14 | 4 | | 15 | 3 | | 16 | 13 | | 17 | 14 | | 18 | 21 | | 19 | 2 | | 20 | 4 | | 21 | 5 | | 22 | 2 | | 23 | 5 | | 24 | 2 | | 25 | 3 | | 26 | 16 | | 27 | 6 | | 28 | 10 | | 29 | 9 | | 30 | 5 | | 31 | 5 | | 32 | 21 | | 33 | 13 | | 34 | 11 | | 35 | 14 | | 36 | 11 | | 37 | 3 | | 38 | 3 | | 39 | 3 | | 40 | 5 | | 41 | 20 | | 42 | 12 | | 43 | 3 | | 44 | 9 | | 45 | 20 | | 46 | 13 | | 47 | 19 | | 48 | 10 | | 49 | 6 |
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| 41.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.26744186046511625 | | totalSentences | 86 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 69 | | matches | | 0 | "She didn’t slow down." | | 1 | "Her pulse hummed in her" | | 2 | "He wore no coat, just" | | 3 | "Her fingers came away dark." | | 4 | "She didn’t answer." | | 5 | "she said, more statement than" | | 6 | "He grinned, teeth white against" | | 7 | "He gestured to the tunnel" | | 8 | "She didn’t answer." | | 9 | "She kicked the door open." | | 10 | "she said, voice low" | | 11 | "He held out a hand," | | 12 | "he said, his voice smooth" | | 13 | "She didn’t slow down." | | 14 | "She didn’t look back." | | 15 | "She shook him off." | | 16 | "She didn’t answer." | | 17 | "She stepped forward, the token" |
| | ratio | 0.261 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 69 | | matches | | 0 | "The alley smelled of damp" | | 1 | "Quinn’s boots splashed through a" | | 2 | "She didn’t slow down." | | 3 | "A shadow darted between the" | | 4 | "Her pulse hummed in her" | | 5 | "*Morris would’ve known that move.*" | | 6 | "The suspect—if that’s what he" | | 7 | "Quinn’s breath fogged in the" | | 8 | "The alley ended abruptly at" | | 9 | "A single flicker of movement," | | 10 | "The voice came from above," | | 11 | "Quinn didn’t look up." | | 12 | "A man stepped into the" | | 13 | "Tomás Herrera’s scar ran silver" | | 14 | "He wore no coat, just" | | 15 | "Quinn touched her collarbone." | | 16 | "Her fingers came away dark." | | 17 | "Tomás exhaled, slow and measured." | | 18 | "She didn’t answer." | | 19 | "The fire escape groaned beneath" |
| | ratio | 0.957 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 8 | | matches | | 0 | "Quinn’s boots splashed through a puddle that reflected the flickering neon of a closed kebab shop, its sign buzzing like a dying insect." | | 1 | "The air below smelled of ozone and something older—damp earth, rusted metal, the faint metallic tang of blood that wasn’t hers." | | 2 | "The distant hum of voices, the clink of glass, the occasional burst of laughter that didn’t quite reach the surface." | | 3 | "A bone token lay on the ground beside it, its surface etched with symbols that made her skin crawl." | | 4 | "The woman’s stalls were filled with things that shouldn’t exist—enchanted knives, vials of liquid that shimmered like liquid starlight, books bound in human ski…" | | 5 | "A bone token lay on the ground beside it, its surface etched with symbols that made her skin crawl." | | 6 | "The door creaked open, revealing a narrow staircase that led downward, into the dark." | | 7 | "The distant hum of voices, the clink of glass, the occasional burst of laughter that didn’t quite reach the surface." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, voice low" | | 1 | "he said, his voice smooth as oil" | | 2 | "Tomás said, his voice urgent" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0 | | effectiveRatio | 0 | |