| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn turned away [away]" |
| | dialogueSentences | 40 | | tagDensity | 0.525 | | leniency | 1 | | rawRatio | 0.048 | | effectiveRatio | 0.048 | |
| 91.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1229 | | totalAiIsmAdverbs | 2 | | 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) | |
| 43.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1229 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "shattered" | | 1 | "velvet" | | 2 | "shimmered" | | 3 | "pristine" | | 4 | "chill" | | 5 | "glint" | | 6 | "etched" | | 7 | "rhythmic" | | 8 | "pulse" | | 9 | "structure" | | 10 | "scanning" | | 11 | "intricate" | | 12 | "gloom" |
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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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1226 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 857 | | uniqueNames | 9 | | maxNameDensity | 2.33 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | Camden | 1 | | Briggs | 8 | | Cold | 1 | | Wooden | 1 | | Three | 2 | | Morris | 2 | | Thames | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Briggs" | | 3 | "Morris" |
| | places | | | globalScore | 0.333 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like an open eye surrounded by tho" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.816 | | wordCount | 1226 | | matches | | 0 | "not damp earth, but old leather, dried lavender" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 27.86 | | std | 17.48 | | cv | 0.627 | | sampleLengths | | 0 | 69 | | 1 | 43 | | 2 | 28 | | 3 | 13 | | 4 | 42 | | 5 | 25 | | 6 | 28 | | 7 | 48 | | 8 | 3 | | 9 | 21 | | 10 | 19 | | 11 | 43 | | 12 | 44 | | 13 | 27 | | 14 | 36 | | 15 | 5 | | 16 | 15 | | 17 | 20 | | 18 | 6 | | 19 | 58 | | 20 | 10 | | 21 | 41 | | 22 | 44 | | 23 | 26 | | 24 | 7 | | 25 | 2 | | 26 | 12 | | 27 | 53 | | 28 | 23 | | 29 | 16 | | 30 | 69 | | 31 | 11 | | 32 | 20 | | 33 | 37 | | 34 | 23 | | 35 | 50 | | 36 | 18 | | 37 | 40 | | 38 | 5 | | 39 | 17 | | 40 | 33 | | 41 | 29 | | 42 | 4 | | 43 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 88 | | ratio | 0.023 | | matches | | 0 | "But the smell in this tunnel—the sharp, metallic tang that burned the back of her throat—was identical to the alley behind the docks where Morris's heart had simply stopped beating." | | 1 | "The air drifting out of the gloom carried a fresh scent—not damp earth, but old leather, dried lavender, and burnt tallow." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 622 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.014469453376205787 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.00482315112540193 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 13.93 | | std | 7.2 | | cv | 0.517 | | sampleLengths | | 0 | 13 | | 1 | 23 | | 2 | 25 | | 3 | 8 | | 4 | 14 | | 5 | 14 | | 6 | 15 | | 7 | 6 | | 8 | 4 | | 9 | 18 | | 10 | 13 | | 11 | 15 | | 12 | 8 | | 13 | 19 | | 14 | 10 | | 15 | 15 | | 16 | 28 | | 17 | 15 | | 18 | 21 | | 19 | 12 | | 20 | 3 | | 21 | 14 | | 22 | 7 | | 23 | 19 | | 24 | 16 | | 25 | 18 | | 26 | 9 | | 27 | 25 | | 28 | 5 | | 29 | 14 | | 30 | 11 | | 31 | 16 | | 32 | 3 | | 33 | 14 | | 34 | 19 | | 35 | 5 | | 36 | 12 | | 37 | 3 | | 38 | 14 | | 39 | 6 | | 40 | 6 | | 41 | 33 | | 42 | 16 | | 43 | 9 | | 44 | 10 | | 45 | 12 | | 46 | 8 | | 47 | 21 | | 48 | 13 | | 49 | 31 |
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| 95.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.6136363636363636 | | totalSentences | 88 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 64 | | matches | | 0 | "She adjusted her grip on" | | 1 | "She dragged her gloved finger" | | 2 | "It shimmered under her torch" | | 3 | "She pinched a grain, brought" | | 4 | "She ducked under a strip" | | 5 | "His eyes remained wide, reflecting" | | 6 | "She knelt beside the corpse," | | 7 | "She pointed the narrow beam" | | 8 | "Her torch beam caught a" | | 9 | "She lifted the object." | | 10 | "It was a small brass" | | 11 | "It twitched erratically, spinning half" | | 12 | "She leaned down and pulled" | | 13 | "It wasn't paper." | | 14 | "It was a wafer-thin slip" | | 15 | "She looked down the dark," |
| | ratio | 0.25 | |
| 45.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 64 | | matches | | 0 | "Water dripped onto the rusted" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "Spiders had long abandoned the" | | 3 | "Constable Briggs said, rubbing his" | | 4 | "Quinn checked her worn leather" | | 5 | "She adjusted her grip on" | | 6 | "Quinn squinted through the shadows" | | 7 | "Stacks of dried herbs, bundled" | | 8 | "Briggs stepped carefully around a" | | 9 | "Quinn dropped to one knee" | | 10 | "She dragged her gloved finger" | | 11 | "It shimmered under her torch" | | 12 | "She pinched a grain, brought" | | 13 | "Quinn said, wiping her fingers" | | 14 | "Briggs pointed his flashlight toward" | | 15 | "A body lay sprawled on" | | 16 | "Quinn approached, her sharp jaw" | | 17 | "She ducked under a strip" | | 18 | "The victim was a man" | | 19 | "His eyes remained wide, reflecting" |
| | ratio | 0.828 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "The victim was a man in his late fifties, dressed in a pristine tweed waistcoat that looked absurd against the filth of the station floor." | | 1 | "But the smell in this tunnel—the sharp, metallic tang that burned the back of her throat—was identical to the alley behind the docks where Morris's heart had si…" | | 2 | "The glass face was intact, etched with delicate, geometric symbols that spiraled inward toward the center." | | 3 | "It was a wafer-thin slip of polished bone, stamped with a single, intricate mark that looked like an open eye surrounded by thorned vines." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said, her voice dropping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn muttered (mutter)" |
| | dialogueSentences | 40 | | tagDensity | 0.325 | | leniency | 0.65 | | rawRatio | 0.077 | | effectiveRatio | 0.05 | |