| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 517 | | totalAiIsmAdverbs | 1 | | 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) | |
| 41.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 517 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulsed" | | 1 | "pulse" | | 2 | "whisper" | | 3 | "traced" | | 4 | "footsteps" | | 5 | "silence" |
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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 | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 512 | | ratio | 0.006 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 477 | | uniqueNames | 4 | | maxNameDensity | 1.47 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Raven | 1 | | Herrera | 5 | | London | 1 | | Quinn | 7 |
| | persons | | 0 | "Raven" | | 1 | "Herrera" | | 2 | "Quinn" |
| | places | | | globalScore | 0.766 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 512 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 25.6 | | std | 26.83 | | cv | 1.048 | | sampleLengths | | 0 | 95 | | 1 | 50 | | 2 | 84 | | 3 | 3 | | 4 | 45 | | 5 | 16 | | 6 | 28 | | 7 | 8 | | 8 | 2 | | 9 | 48 | | 10 | 18 | | 11 | 2 | | 12 | 37 | | 13 | 10 | | 14 | 3 | | 15 | 38 | | 16 | 2 | | 17 | 10 | | 18 | 2 | | 19 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 75 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 59 | | ratio | 0.068 | | matches | | 0 | "Not the suspect—someone else, a figure hunched over a table, their back to the door." | | 1 | "The air smelled of stale beer and something sharper—ozone, maybe, or the metallic tang of old blood." | | 2 | "She’d seen him before—once, at a precinct function, his name attached to a file she’d never opened." | | 3 | "The air down there was thick, humid, the scent of damp stone and something older—something that didn’t belong in London." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 482 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.03112033195020747 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.006224066390041493 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 8.68 | | std | 6.43 | | cv | 0.741 | | sampleLengths | | 0 | 18 | | 1 | 29 | | 2 | 19 | | 3 | 3 | | 4 | 26 | | 5 | 8 | | 6 | 15 | | 7 | 4 | | 8 | 4 | | 9 | 19 | | 10 | 9 | | 11 | 17 | | 12 | 5 | | 13 | 18 | | 14 | 18 | | 15 | 17 | | 16 | 3 | | 17 | 10 | | 18 | 2 | | 19 | 3 | | 20 | 17 | | 21 | 2 | | 22 | 11 | | 23 | 12 | | 24 | 4 | | 25 | 3 | | 26 | 9 | | 27 | 13 | | 28 | 3 | | 29 | 4 | | 30 | 4 | | 31 | 2 | | 32 | 7 | | 33 | 11 | | 34 | 10 | | 35 | 8 | | 36 | 12 | | 37 | 9 | | 38 | 3 | | 39 | 6 | | 40 | 2 | | 41 | 3 | | 42 | 11 | | 43 | 3 | | 44 | 2 | | 45 | 10 | | 46 | 8 | | 47 | 5 | | 48 | 5 | | 49 | 3 |
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| 38.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2711864406779661 | | totalSentences | 59 | | uniqueOpeners | 16 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 46 | | matches | | 0 | "Then he stood." | | 1 | "Instead, she shoved past him," |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 46 | | matches | | 0 | "She didn’t pause." | | 1 | "She knew the type." | | 2 | "She stepped inside, the door" | | 3 | "She’d seen him before—once, at" | | 4 | "She moved, her boots silent" | | 5 | "He smirked, just slightly." | | 6 | "His grip was iron, his" | | 7 | "he murmured, tilting her chin" | | 8 | "He didn’t flinch." | | 9 | "She didn’t answer." | | 10 | "She’d seen it before, in" |
| | ratio | 0.239 | |
| 14.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 46 | | matches | | 0 | "The rain hammered the pavement" | | 1 | "Quinn’s breath fogged in the" | | 2 | "The neon glow of a" | | 3 | "She didn’t pause." | | 4 | "The scent of damp earth" | | 5 | "A shadow moved inside the" | | 6 | "Quinn’s pulse didn’t slow." | | 7 | "She knew the type." | | 8 | "The kind who thought they" | | 9 | "She stepped inside, the door" | | 10 | "The air smelled of stale" | | 11 | "The patrons barely glanced up." | | 12 | "A man in a pinstripe" | | 13 | "A woman at the bar" | | 14 | "Quinn’s gaze locked onto the" | | 15 | "Quinn’s jaw tightened." | | 16 | "She’d seen him before—once, at" | | 17 | "A man with a medallion" | | 18 | "Herrera said, his voice low," | | 19 | "Quinn didn’t answer." |
| | ratio | 0.891 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn’s breath fogged in the cold air as she ducked beneath the awning of a shuttered florist’s shop, her boots splashing through a puddle that mirrored the fli…" | | 1 | "The air down there was thick, humid, the scent of damp stone and something older—something that didn’t belong in London." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "Herrera said, his voice low, smooth" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |