| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 522 | | 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) | |
| 23.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 522 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "quickened" | | 3 | "echoed" | | 4 | "racing" | | 5 | "gloom" | | 6 | "charm" |
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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 | 41 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 45 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 514 | | ratio | 0.006 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 53.64% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 467 | | uniqueNames | 3 | | maxNameDensity | 1.93 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | | places | | | globalScore | 0.536 | | windowScore | 0.833 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 1 | | matches | | 0 | "something like recognition" |
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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 | 514 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 34.27 | | std | 19.66 | | cv | 0.574 | | sampleLengths | | 0 | 74 | | 1 | 73 | | 2 | 50 | | 3 | 58 | | 4 | 18 | | 5 | 42 | | 6 | 19 | | 7 | 20 | | 8 | 28 | | 9 | 27 | | 10 | 30 | | 11 | 13 | | 12 | 18 | | 13 | 19 | | 14 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 78 | | matches | | 0 | "was chasing" | | 1 | "was paying" | | 2 | "was walking" | | 3 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 45 | | ratio | 0.089 | | matches | | 0 | "The suspect—someone she’d been tailing for hours—had vanished into the labyrinth of Soho’s back alleys, leaving her with nothing but a trail of damp footprints and the hollow ache of a case slipping through her fingers." | | 1 | "Tonight, though, the air smelled different—something metallic, like blood and damp earth." | | 2 | "There, half-hidden in the gloom, was the suspect—a man in a long coat, his face obscured by the brim of his hat." | | 3 | "And his hands—she could see the faint glow of something unnatural beneath his sleeves." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 475 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.02736842105263158 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 45 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 45 | | mean | 11.42 | | std | 6.96 | | cv | 0.609 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 36 | | 3 | 21 | | 4 | 16 | | 5 | 12 | | 6 | 3 | | 7 | 6 | | 8 | 15 | | 9 | 18 | | 10 | 3 | | 11 | 10 | | 12 | 19 | | 13 | 8 | | 14 | 17 | | 15 | 22 | | 16 | 11 | | 17 | 12 | | 18 | 6 | | 19 | 3 | | 20 | 4 | | 21 | 21 | | 22 | 14 | | 23 | 19 | | 24 | 12 | | 25 | 8 | | 26 | 6 | | 27 | 22 | | 28 | 9 | | 29 | 13 | | 30 | 5 | | 31 | 3 | | 32 | 4 | | 33 | 12 | | 34 | 11 | | 35 | 13 | | 36 | 10 | | 37 | 8 | | 38 | 9 | | 39 | 3 | | 40 | 7 | | 41 | 12 | | 42 | 4 | | 43 | 5 | | 44 | 4 |
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| 45.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3111111111111111 | | totalSentences | 45 | | uniqueOpeners | 14 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 83.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 41 | | matches | | 0 | "She adjusted her coat, the" | | 1 | "She wasn’t just chasing a" | | 2 | "She was chasing something older," | | 3 | "She sprinted, her boots splashing" | | 4 | "he said, his voice low" | | 5 | "She didn’t need to." | | 6 | "she said, her voice steady" | | 7 | "She didn’t know what she" | | 8 | "he said, his voice dripping" | | 9 | "She didn’t have to." | | 10 | "she demanded, her voice cutting" | | 11 | "She didn’t care." | | 12 | "She was done playing by" | | 13 | "She knew what was coming." |
| | ratio | 0.341 | |
| 8.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 41 | | matches | | 0 | "The neon sign of *The" | | 1 | "Quinn wiped rain from her" | | 2 | "The suspect—someone she’d been tailing" | | 3 | "She adjusted her coat, the" | | 4 | "The suspect had been here" | | 5 | "Tonight, though, the air smelled" | | 6 | "Quinn’s pulse quickened." | | 7 | "She wasn’t just chasing a" | | 8 | "She was chasing something older," | | 9 | "A distant shout echoed from" | | 10 | "Quinn didn’t hesitate." | | 11 | "She sprinted, her boots splashing" | | 12 | "The suspect had led her" | | 13 | "The alley narrowed, the walls" | | 14 | "Quinn’s breath came in ragged" | | 15 | "There, half-hidden in the gloom," | | 16 | "he said, his voice low" | | 17 | "Quinn didn’t answer." | | 18 | "She didn’t need to." | | 19 | "The man’s coat was too" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 6.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 4 | | matches | | 0 | "She adjusted her coat, the leather watch on her wrist ticking away the seconds like a metronome counting down to disaster." | | 1 | "She was chasing something older, something that didn’t play by the rules of the law." | | 2 | "She sprinted, her boots splashing through puddles, her mind racing." | | 3 | "The man’s coat was too heavy, too well-tailored, the kind of thing that didn’t belong in the rain-soaked streets of Soho." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, his voice low and rough" | | 1 | "she said, her voice steady despite the adrenaline coursing through her veins" | | 2 | "he said, his voice dripping with something darker than charm" | | 3 | "she demanded, her voice cutting through the rain" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |