| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "she shouted again [again]" |
| | dialogueSentences | 25 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0.125 | | effectiveRatio | 0.08 | |
| 90.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1579 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "slowly" | | 2 | "quickly" |
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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) | |
| 81.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1579 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "wavering" | | 3 | "silence" | | 4 | "velvet" |
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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 | 1 | | narrationSentences | 154 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 154 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seem to" | | 1 | "started to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 170 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1578 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1462 | | uniqueNames | 7 | | maxNameDensity | 1.37 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Morris | 2 | | Tube | 1 | | English | 1 | | Quinn | 20 | | Rain | 3 |
| | persons | | 0 | "Raven" | | 1 | "Morris" | | 2 | "Quinn" | | 3 | "Rain" |
| | places | | | globalScore | 0.816 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 110 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed deeper now, its lines dark with shadow" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.634 | | wordCount | 1578 | | matches | | 0 | "not words, exactly, but the expectation" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 170 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 20.76 | | std | 18.94 | | cv | 0.912 | | sampleLengths | | 0 | 11 | | 1 | 20 | | 2 | 51 | | 3 | 11 | | 4 | 7 | | 5 | 4 | | 6 | 74 | | 7 | 2 | | 8 | 2 | | 9 | 50 | | 10 | 40 | | 11 | 53 | | 12 | 57 | | 13 | 23 | | 14 | 4 | | 15 | 21 | | 16 | 6 | | 17 | 6 | | 18 | 14 | | 19 | 10 | | 20 | 15 | | 21 | 25 | | 22 | 30 | | 23 | 7 | | 24 | 7 | | 25 | 20 | | 26 | 27 | | 27 | 8 | | 28 | 50 | | 29 | 11 | | 30 | 5 | | 31 | 2 | | 32 | 8 | | 33 | 66 | | 34 | 14 | | 35 | 40 | | 36 | 24 | | 37 | 16 | | 38 | 8 | | 39 | 5 | | 40 | 14 | | 41 | 6 | | 42 | 45 | | 43 | 13 | | 44 | 14 | | 45 | 6 | | 46 | 1 | | 47 | 46 | | 48 | 48 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 154 | | matches | | 0 | "were rusted" | | 1 | "been made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 255 | | matches | (empty) | |
| 92.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 170 | | ratio | 0.018 | | matches | | 0 | "Her shoe skidded on the far side; she caught herself against the brick, pain jolting through her palm, and kept moving." | | 1 | "Quinn hated that she still heard him in the silence—not words, exactly, but the expectation that she would keep moving." | | 2 | "People moved beneath the low iron ribs of the ceiling: a man in a silver mask weighing something in his palm; a child carrying a jar of blue fire; an old woman laying out little glass bottles on a strip of velvet." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1472 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same old, useless weight." |
| | adverbCount | 44 | | adverbRatio | 0.029891304347826088 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0033967391304347825 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 170 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 170 | | mean | 9.28 | | std | 5.96 | | cv | 0.642 | | sampleLengths | | 0 | 11 | | 1 | 6 | | 2 | 14 | | 3 | 15 | | 4 | 8 | | 5 | 17 | | 6 | 8 | | 7 | 3 | | 8 | 11 | | 9 | 7 | | 10 | 4 | | 11 | 13 | | 12 | 10 | | 13 | 24 | | 14 | 6 | | 15 | 21 | | 16 | 2 | | 17 | 2 | | 18 | 7 | | 19 | 14 | | 20 | 5 | | 21 | 8 | | 22 | 16 | | 23 | 26 | | 24 | 14 | | 25 | 15 | | 26 | 3 | | 27 | 9 | | 28 | 19 | | 29 | 7 | | 30 | 8 | | 31 | 6 | | 32 | 16 | | 33 | 10 | | 34 | 17 | | 35 | 12 | | 36 | 6 | | 37 | 5 | | 38 | 4 | | 39 | 5 | | 40 | 11 | | 41 | 5 | | 42 | 6 | | 43 | 6 | | 44 | 14 | | 45 | 10 | | 46 | 15 | | 47 | 8 | | 48 | 11 | | 49 | 6 |
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| 37.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.27647058823529413 | | totalSentences | 170 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 146 | | matches | | 0 | "Then she descended." | | 1 | "Instead, a narrow seam ran" | | 2 | "Then a woman’s voice, dry" | | 3 | "Then the bricks shivered with" | | 4 | "Somewhere above, the city went" | | 5 | "Somewhere beyond the closed bricks," |
| | ratio | 0.041 | |
| 83.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 146 | | matches | | 0 | "He looked back over his" | | 1 | "She shoved through the door" | | 2 | "She went after him." | | 3 | "He was lean, dressed in" | | 4 | "He had a good head" | | 5 | "He slipped between a delivery" | | 6 | "Her shoe skidded on the" | | 7 | "She was forty-one, not twenty-five," | | 8 | "She forced air into her" | | 9 | "He turned down another passage," | | 10 | "He landed hard but rolled" | | 11 | "Her shoe hit the shed" | | 12 | "It flexed under her weight." | | 13 | "she shouted again" | | 14 | "She saw the fear in" | | 15 | "He reached inside his coat." | | 16 | "He pulled out a small" | | 17 | "It struck the pavement below" | | 18 | "She crouched and picked it" | | 19 | "She turned it over between" |
| | ratio | 0.342 | |
| 38.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 123 | | totalSentences | 146 | | matches | | 0 | "The green neon raven above" | | 1 | "Quinn saw the suspect notice" | | 2 | "He looked back over his" | | 3 | "She shoved through the door" | | 4 | "Rain gusted in after her," | | 5 | "A man at the counter" | | 6 | "Nobody else moved." | | 7 | "Quinn snapped, though she was" | | 8 | "The suspect cut left into" | | 9 | "She went after him." | | 10 | "He was lean, dressed in" | | 11 | "He had a good head" | | 12 | "He slipped between a delivery" | | 13 | "Quinn took the rail at" | | 14 | "Her shoe skidded on the" | | 15 | "The alley opened onto a" | | 16 | "Headlights smeared across the wet" | | 17 | "The suspect darted behind it." | | 18 | "Quinn followed, one hand up" | | 19 | "The cab’s rear wheels hissed" |
| | ratio | 0.842 | |
| 34.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 146 | | matches | | 0 | "Now the roar of traffic" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn snapped (snap)" | | 1 | "she shouted again (shout)" |
| | dialogueSentences | 25 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.4 | | effectiveRatio | 0.16 | |