| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 72 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1884 | | 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) | |
| 81.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1884 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "glinting" | | 1 | "footfall" | | 2 | "structure" | | 3 | "silence" | | 4 | "flicker" | | 5 | "velvet" | | 6 | "electric" |
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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 | 168 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 168 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 231 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1882 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 36.80% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1546 | | uniqueNames | 7 | | maxNameDensity | 2.26 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 35 | | Raven | 1 | | Nest | 1 | | Saint | 1 | | Christopher | 1 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Saint" | | 4 | "Christopher" |
| | places | (empty) | | globalScore | 0.368 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 123 | | 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 | 1882 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 231 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 128 | | mean | 14.7 | | std | 15.16 | | cv | 1.031 | | sampleLengths | | 0 | 47 | | 1 | 11 | | 2 | 3 | | 3 | 40 | | 4 | 63 | | 5 | 15 | | 6 | 28 | | 7 | 7 | | 8 | 40 | | 9 | 35 | | 10 | 7 | | 11 | 38 | | 12 | 29 | | 13 | 6 | | 14 | 13 | | 15 | 43 | | 16 | 18 | | 17 | 7 | | 18 | 2 | | 19 | 8 | | 20 | 14 | | 21 | 2 | | 22 | 2 | | 23 | 33 | | 24 | 29 | | 25 | 4 | | 26 | 66 | | 27 | 7 | | 28 | 1 | | 29 | 1 | | 30 | 13 | | 31 | 5 | | 32 | 15 | | 33 | 8 | | 34 | 15 | | 35 | 4 | | 36 | 5 | | 37 | 14 | | 38 | 18 | | 39 | 6 | | 40 | 1 | | 41 | 9 | | 42 | 3 | | 43 | 47 | | 44 | 14 | | 45 | 6 | | 46 | 4 | | 47 | 6 | | 48 | 54 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 266 | | matches | | 0 | "wasn’t letting" | | 1 | "was already moving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 231 | | ratio | 0.009 | | matches | | 0 | "For one instant, his face showed in the lantern light—thin, pale, rainwater tracking his cheek." | | 1 | "At the first step, she heard the suspect’s limp strike the landing above—one hard beat, one dragging scrape." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1556 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.02506426735218509 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.002570694087403599 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 231 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 231 | | mean | 8.15 | | std | 5.44 | | cv | 0.668 | | sampleLengths | | 0 | 8 | | 1 | 26 | | 2 | 7 | | 3 | 6 | | 4 | 11 | | 5 | 3 | | 6 | 2 | | 7 | 20 | | 8 | 7 | | 9 | 11 | | 10 | 16 | | 11 | 16 | | 12 | 31 | | 13 | 7 | | 14 | 8 | | 15 | 8 | | 16 | 6 | | 17 | 14 | | 18 | 7 | | 19 | 9 | | 20 | 15 | | 21 | 7 | | 22 | 9 | | 23 | 12 | | 24 | 7 | | 25 | 16 | | 26 | 7 | | 27 | 5 | | 28 | 16 | | 29 | 10 | | 30 | 7 | | 31 | 4 | | 32 | 3 | | 33 | 2 | | 34 | 20 | | 35 | 6 | | 36 | 13 | | 37 | 11 | | 38 | 7 | | 39 | 15 | | 40 | 7 | | 41 | 3 | | 42 | 18 | | 43 | 7 | | 44 | 2 | | 45 | 7 | | 46 | 1 | | 47 | 14 | | 48 | 2 | | 49 | 2 |
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| 46.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2857142857142857 | | totalSentences | 231 | | uniqueOpeners | 66 | |
| 63.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 158 | | matches | | 0 | "Then a hurried scrape, like" | | 1 | "Then he shoved through the" | | 2 | "Then she climbed." |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 158 | | matches | | 0 | "Her left wrist flashed beneath" | | 1 | "He cut between a night" | | 2 | "He had a narrow build," | | 3 | "She had spent six weeks" | | 4 | "She wasn’t letting a puddle" | | 5 | "He darted across the road," | | 6 | "He reached it, hauled himself" | | 7 | "Her palm skidded on the" | | 8 | "She caught the top rail," | | 9 | "He ran towards a narrow" | | 10 | "She’d asked after it twice" | | 11 | "She held the warrant card" | | 12 | "His eyes dropped to the" | | 13 | "He shifted, revealing the door." | | 14 | "Its spines held an uneven" | | 15 | "He rolled his left sleeve" | | 16 | "His warm brown eyes moved" | | 17 | "He placed one hand on" | | 18 | "She looked at his hand." | | 19 | "She glanced back at the" |
| | ratio | 0.253 | |
| 42.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 158 | | matches | | 0 | "Detective Harlow Quinn caught her" | | 1 | "Her left wrist flashed beneath" | | 2 | "The worn leather watch read" | | 3 | "The suspect glanced back at" | | 4 | "He cut between a night" | | 5 | "The umbrella spun away in" | | 6 | "Quinn followed, boots striking water" | | 7 | "The man wore a grey" | | 8 | "He had a narrow build," | | 9 | "Quinn had seen him once" | | 10 | "She had spent six weeks" | | 11 | "She wasn’t letting a puddle" | | 12 | "He darted across the road," | | 13 | "A taxi leaned on its" | | 14 | "Quinn lifted a hand, cut" | | 15 | "The suspect slipped through a" | | 16 | "Quinn followed into a service" | | 17 | "A metal gate blocked the" | | 18 | "He reached it, hauled himself" | | 19 | "Quinn planted a foot on" |
| | ratio | 0.835 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 158 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 3 | | matches | | 0 | "She had spent eighteen years reading rooms, doors, and people who stood between her and a fact." | | 1 | "She thought of the grey jacket vanishing below, the canvas satchel tucked close, the limp that made him slow at the turns." | | 2 | "A woman in a blue veil displayed stoppered bottles that glowed like fireflies." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "she called, not loud enough to carry far" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn shouted (shout)" | | 1 | "the stallholder warned (warn)" |
| | dialogueSentences | 72 | | tagDensity | 0.097 | | leniency | 0.194 | | rawRatio | 0.286 | | effectiveRatio | 0.056 | |