| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 337 | | 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) | |
| 25.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 337 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flicker" | | 1 | "loomed" | | 2 | "shattered" | | 3 | "flicked" | | 4 | "vibrated" |
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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 | 23 | | matches | (empty) | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 23 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 33 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 334 | | ratio | 0.009 | | matches | | 0 | "disturbed" | | 1 | "threshold" | | 2 | "door" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 8.30% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 247 | | uniqueNames | 6 | | maxNameDensity | 2.83 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 7 | | Eva | 5 | | Kowalski | 1 | | Compass | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" |
| | places | (empty) | | globalScore | 0.083 | | windowScore | 0.667 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 17 | | glossingSentenceCount | 1 | | matches | | 0 | "something like old blood" |
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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 | 334 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 33 | | matches | (empty) | |
| 75.95% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 23.86 | | std | 9.92 | | cv | 0.416 | | sampleLengths | | 0 | 48 | | 1 | 13 | | 2 | 16 | | 3 | 13 | | 4 | 31 | | 5 | 12 | | 6 | 23 | | 7 | 29 | | 8 | 18 | | 9 | 34 | | 10 | 16 | | 11 | 27 | | 12 | 22 | | 13 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 23 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 42 | | matches | (empty) | |
| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 33 | | ratio | 0.03 | | matches | | 0 | "The air smelled of damp earth and something older—something like old blood." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 250 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.008 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.008 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 33 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 33 | | mean | 10.12 | | std | 4.6 | | cv | 0.454 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 12 | | 3 | 13 | | 4 | 3 | | 5 | 13 | | 6 | 13 | | 7 | 15 | | 8 | 11 | | 9 | 5 | | 10 | 9 | | 11 | 3 | | 12 | 5 | | 13 | 14 | | 14 | 4 | | 15 | 15 | | 16 | 12 | | 17 | 2 | | 18 | 8 | | 19 | 10 | | 20 | 14 | | 21 | 9 | | 22 | 11 | | 23 | 11 | | 24 | 5 | | 25 | 16 | | 26 | 5 | | 27 | 6 | | 28 | 17 | | 29 | 5 | | 30 | 14 | | 31 | 9 | | 32 | 9 |
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| 62.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3939393939393939 | | totalSentences | 33 | | uniqueOpeners | 13 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 23 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 3 | | totalSentences | 23 | | matches | | 0 | "She held out a small" | | 1 | "She pressed the Compass to" | | 2 | "She crouched, her fingers brushing" |
| | ratio | 0.13 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 23 | | totalSentences | 23 | | matches | | 0 | "The flicker of neon from" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "The air smelled of damp" | | 3 | "a voice asked from behind" | | 4 | "Quinn didn’t turn." | | 5 | "a woman said, stepping forward" | | 6 | "Eva Kowalski’s round glasses reflected" | | 7 | "She held out a small" | | 8 | "Quinn exhaled through her nose," | | 9 | "Eva didn’t answer with words." | | 10 | "She pressed the Compass to" | | 11 | "A cold draft slithered through" | | 12 | "Quinn’s watch ticked, its leather" | | 13 | "Eva said, her voice low" | | 14 | "The corner of the station" | | 15 | "Quinn’s boots crunched over something" | | 16 | "She crouched, her fingers brushing" | | 17 | "Eva said, stepping closer" | | 18 | "Quinn’s gaze flicked to the" | | 19 | "The station’s exit, sealed shut." |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 23 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 1 | | matches | | 0 | "Eva’s fingers brushed the satchel’s strap, her nervous habit of tucking her hair behind her ear flickering." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva said, her voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |