| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1444 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "suddenly" |
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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) | |
| 37.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1444 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "gleaming" | | 1 | "gloom" | | 2 | "flicked" | | 3 | "tension" | | 4 | "footsteps" | | 5 | "rhythmic" | | 6 | "could feel" | | 7 | "weight" | | 8 | "silence" | | 9 | "pulsed" | | 10 | "stark" | | 11 | "glinting" | | 12 | "echoed" | | 13 | "whisper" | | 14 | "shimmered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 152 | | matches | (empty) | |
| 86.47% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 152 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1442 | | ratio | 0.002 | | matches | | 0 | "Thwack. Thwack. Thwack." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1303 | | uniqueNames | 6 | | maxNameDensity | 0.61 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Tomás" | | discoveredNames | | Tomás | 6 | | Herrera | 1 | | Veil | 1 | | Market | 1 | | Quinn | 8 | | Morris | 1 |
| | persons | | 0 | "Tomás" | | 1 | "Herrera" | | 2 | "Quinn" | | 3 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 98 | | glossingSentenceCount | 8 | | matches | | 0 | "as if conspiring to swallow him whole" | | 1 | "looked like he might" | | 2 | "smelled like a place things went to be for" | | 3 | "Something like spices and hot metal" | | 4 | "Things that seemed to writhe in the dim light" | | 5 | "crystals that seemed to suck the light from the air" | | 6 | "felt like pressure against her eardrums" | | 7 | "looked like antique medical equipment—syr" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.693 | | wordCount | 1442 | | matches | | 0 | "not running, but walking with predatory purpose" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 165 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 34.33 | | std | 20.88 | | cv | 0.608 | | sampleLengths | | 0 | 69 | | 1 | 36 | | 2 | 52 | | 3 | 55 | | 4 | 52 | | 5 | 17 | | 6 | 44 | | 7 | 14 | | 8 | 5 | | 9 | 6 | | 10 | 2 | | 11 | 40 | | 12 | 27 | | 13 | 66 | | 14 | 10 | | 15 | 7 | | 16 | 28 | | 17 | 35 | | 18 | 20 | | 19 | 11 | | 20 | 32 | | 21 | 45 | | 22 | 18 | | 23 | 26 | | 24 | 35 | | 25 | 56 | | 26 | 39 | | 27 | 6 | | 28 | 71 | | 29 | 82 | | 30 | 8 | | 31 | 42 | | 32 | 57 | | 33 | 29 | | 34 | 51 | | 35 | 60 | | 36 | 28 | | 37 | 19 | | 38 | 67 | | 39 | 29 | | 40 | 30 | | 41 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 152 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 230 | | matches | | 0 | "were advancing" | | 1 | "were talking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 165 | | ratio | 0.012 | | matches | | 0 | "The air was colder here, and carried a strange, layered scent—old dust, ozone, and something else." | | 1 | "A stall to her left sold what looked like antique medical equipment—syringes with multiple needles, leather-bound books held shut with heavy clasps." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1310 | | adjectiveStacks | 2 | | stackExamples | | 0 | "faint green light pulsed." | | 1 | "open, revealing cluttered displays" |
| | adverbCount | 45 | | adverbRatio | 0.03435114503816794 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0061068702290076335 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 8.74 | | std | 5.61 | | cv | 0.642 | | sampleLengths | | 0 | 28 | | 1 | 14 | | 2 | 10 | | 3 | 17 | | 4 | 12 | | 5 | 2 | | 6 | 8 | | 7 | 10 | | 8 | 4 | | 9 | 19 | | 10 | 11 | | 11 | 4 | | 12 | 2 | | 13 | 8 | | 14 | 4 | | 15 | 4 | | 16 | 15 | | 17 | 14 | | 18 | 11 | | 19 | 9 | | 20 | 6 | | 21 | 10 | | 22 | 14 | | 23 | 2 | | 24 | 7 | | 25 | 19 | | 26 | 7 | | 27 | 10 | | 28 | 20 | | 29 | 19 | | 30 | 5 | | 31 | 9 | | 32 | 5 | | 33 | 5 | | 34 | 3 | | 35 | 3 | | 36 | 2 | | 37 | 8 | | 38 | 9 | | 39 | 12 | | 40 | 3 | | 41 | 8 | | 42 | 3 | | 43 | 4 | | 44 | 9 | | 45 | 4 | | 46 | 7 | | 47 | 10 | | 48 | 13 | | 49 | 7 |
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| 42.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3090909090909091 | | totalSentences | 165 | | uniqueOpeners | 51 | |
| 75.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 133 | | matches | | 0 | "Then his eyes flicked past" | | 1 | "More than one set." | | 2 | "Then, slowly, they turned back" |
| | ratio | 0.023 | |
| 33.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 133 | | matches | | 0 | "He vaulted a low wall" | | 1 | "She vaulted the same wall," | | 2 | "Her voice cut through the" | | 3 | "He just ran faster, glancing" | | 4 | "He’d been expecting her." | | 5 | "He turned down another alley," | | 6 | "She closed the distance." | | 7 | "His breathing was audible now," | | 8 | "He knew these streets." | | 9 | "He’d picked this route." | | 10 | "He burst out of the" | | 11 | "He spun, back to the" | | 12 | "He had nowhere left to" | | 13 | "Her hand rested on the" | | 14 | "Her voice was low, conversational" | | 15 | "He let out a breathless," | | 16 | "She took another step" | | 17 | "His jaw tightened." | | 18 | "His shoulders slumped, the fight" | | 19 | "His posture changed." |
| | ratio | 0.466 | |
| 16.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 118 | | totalSentences | 133 | | matches | | 0 | "The alley mouth spat her" | | 1 | "He vaulted a low wall" | | 2 | "Quinn followed, her polished shoes" | | 3 | "She vaulted the same wall," | | 4 | "Her voice cut through the" | | 5 | "He just ran faster, glancing" | | 6 | "The brief flash of his" | | 7 | "He’d been expecting her." | | 8 | "He turned down another alley," | | 9 | "Bins overflowed with sodden cardboard," | | 10 | "She closed the distance." | | 11 | "His breathing was audible now," | | 12 | "He knew these streets." | | 13 | "He’d picked this route." | | 14 | "He burst out of the" | | 15 | "A chain-link fence topped with" | | 16 | "He spun, back to the" | | 17 | "The rain plastered his dark" | | 18 | "He had nowhere left to" | | 19 | "Quinn slowed to a walk," |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 94.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 4 | | matches | | 0 | "He turned down another alley, this one narrower, the buildings leaning in as if conspiring to swallow him whole." | | 1 | "The beam cut a stark white tunnel through the gloom, illuminating scuffed concrete steps, graffiti that looked more like diagrams than tags." | | 2 | "Urban legends fed to her by informants who were usually too scared or too high to be reliable." | | 3 | "She looked at the archway ahead, draped in a heavy, black curtain embroidered with patterns that shimmered when her light hit them." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she called, her voice tight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 22 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0.5 | | effectiveRatio | 0.091 | |