| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn crouched again [again]" | | 1 | "Quinn said softly [softly]" |
| | dialogueSentences | 46 | | tagDensity | 0.326 | | leniency | 0.652 | | rawRatio | 0.133 | | effectiveRatio | 0.087 | |
| 86.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1479 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "quickly" | | 1 | "suddenly" | | 2 | "softly" | | 3 | "perfectly" |
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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) | |
| 39.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1479 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "tracing" | | 1 | "pumping" | | 2 | "flicked" | | 3 | "velvet" | | 4 | "footsteps" | | 5 | "echoed" | | 6 | "trembled" | | 7 | "weight" | | 8 | "measured" | | 9 | "sinister" | | 10 | "dance" | | 11 | "warmth" | | 12 | "mechanical" | | 13 | "magnetic" | | 14 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1480 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 34.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 953 | | uniqueNames | 9 | | maxNameDensity | 2.31 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Kowalski | 1 | | Eva | 17 | | Northern | 1 | | Line | 1 | | Footsteps | 1 | | Quinn | 22 | | Victorian | 1 | | Morris | 3 | | Three | 1 |
| | persons | | 0 | "Kowalski" | | 1 | "Eva" | | 2 | "Line" | | 3 | "Footsteps" | | 4 | "Quinn" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 0.346 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like Morris's voice and not like M" |
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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 | 1480 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 133 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 23.87 | | std | 14.29 | | cv | 0.599 | | sampleLengths | | 0 | 51 | | 1 | 5 | | 2 | 34 | | 3 | 12 | | 4 | 47 | | 5 | 38 | | 6 | 15 | | 7 | 23 | | 8 | 18 | | 9 | 30 | | 10 | 7 | | 11 | 39 | | 12 | 31 | | 13 | 38 | | 14 | 43 | | 15 | 18 | | 16 | 9 | | 17 | 54 | | 18 | 16 | | 19 | 15 | | 20 | 41 | | 21 | 47 | | 22 | 13 | | 23 | 13 | | 24 | 40 | | 25 | 40 | | 26 | 5 | | 27 | 38 | | 28 | 24 | | 29 | 16 | | 30 | 18 | | 31 | 46 | | 32 | 46 | | 33 | 9 | | 34 | 6 | | 35 | 13 | | 36 | 14 | | 37 | 12 | | 38 | 55 | | 39 | 23 | | 40 | 8 | | 41 | 29 | | 42 | 35 | | 43 | 4 | | 44 | 18 | | 45 | 41 | | 46 | 18 | | 47 | 6 | | 48 | 2 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 133 | | ratio | 0 | | matches | (empty) | |
| 93.68% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 953 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.0472193074501574 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.015739769150052464 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 11.13 | | std | 6.6 | | cv | 0.593 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 10 | | 3 | 1 | | 4 | 5 | | 5 | 5 | | 6 | 14 | | 7 | 20 | | 8 | 12 | | 9 | 12 | | 10 | 8 | | 11 | 27 | | 12 | 11 | | 13 | 27 | | 14 | 5 | | 15 | 10 | | 16 | 23 | | 17 | 5 | | 18 | 13 | | 19 | 6 | | 20 | 14 | | 21 | 10 | | 22 | 7 | | 23 | 13 | | 24 | 26 | | 25 | 5 | | 26 | 12 | | 27 | 3 | | 28 | 11 | | 29 | 8 | | 30 | 15 | | 31 | 6 | | 32 | 9 | | 33 | 25 | | 34 | 18 | | 35 | 4 | | 36 | 14 | | 37 | 9 | | 38 | 7 | | 39 | 6 | | 40 | 18 | | 41 | 23 | | 42 | 8 | | 43 | 8 | | 44 | 15 | | 45 | 8 | | 46 | 12 | | 47 | 4 | | 48 | 1 | | 49 | 16 |
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| 65.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.41353383458646614 | | totalSentences | 133 | | uniqueOpeners | 55 | |
| 35.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 93 | | matches | | 0 | "At least six hours gone." |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 93 | | matches | | 0 | "She pressed two fingers to" | | 1 | "She tucked a spring of" | | 2 | "Her brown eyes fixed on" | | 3 | "She lifted a clear evidence" | | 4 | "She ignored him." | | 5 | "She pulled a second bag" | | 6 | "She pointed across the platform" | | 7 | "Her fingers found the strap" | | 8 | "She stood, rolling her shoulders" | | 9 | "She tucked her hair again," | | 10 | "She stopped close enough to" | | 11 | "She kept her voice low," | | 12 | "Her satchel thumped against her" | | 13 | "She moved toward the wall," | | 14 | "She peered into the dark," | | 15 | "She shone her light directly" | | 16 | "Her fingers drummed once against" | | 17 | "She pressed her palm flat" | | 18 | "It jerked toward Eva." | | 19 | "Her brown eyes narrowed." |
| | ratio | 0.247 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 93 | | matches | | 0 | "Quinn crouched over the corpse," | | 1 | "The blood had dried in" | | 2 | "She pressed two fingers to" | | 3 | "Eva Kowalski lingered three paces" | | 4 | "She tucked a spring of" | | 5 | "Quinn rose in one fluid" | | 6 | "Her brown eyes fixed on" | | 7 | "The abandoned station platform stretched" | | 8 | "Quinn gestured at the body" | | 9 | "Eva adjusted her round glasses." | | 10 | "The lenses caught the harsh" | | 11 | "Quinn's sharp jaw tightened" | | 12 | "She lifted a clear evidence" | | 13 | "A small sliver of carved" | | 14 | "Eva's green eyes flicked to" | | 15 | "Quinn crouched again, turning the" | | 16 | "Footsteps echoed from the stairwell." | | 17 | "A uniformed sergeant appeared, nodded" | | 18 | "She ignored him." | | 19 | "The man on the tiles" |
| | ratio | 0.903 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 2 | | matches | | 0 | "The blood had dried in thin rivulets that defied gravity, streaking upward in places no natural flow would allow." | | 1 | "Eva's face smoothed into careful blankness, but her left hand betrayed her, fingers curling as if around an invisible bone token." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 46 | | tagDensity | 0.043 | | leniency | 0.087 | | rawRatio | 0.5 | | effectiveRatio | 0.043 | |