| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 1 | | adverbTags | | 0 | "Miller looked around [around]" |
| | dialogueSentences | 36 | | tagDensity | 0.722 | | leniency | 1 | | rawRatio | 0.038 | | effectiveRatio | 0.038 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1257 | | 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) | |
| 52.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1257 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "silence" | | 1 | "scanning" | | 2 | "perfect" | | 3 | "echoing" | | 4 | "familiar" | | 5 | "glinting" | | 6 | "etched" | | 7 | "could feel" | | 8 | "wavering" | | 9 | "firmly" |
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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 | 82 | | matches | (empty) | |
| 90.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1256 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 934 | | uniqueNames | 13 | | maxNameDensity | 2.36 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 2 | | Quinn | 22 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Miller | 11 | | Morris | 2 | | Eva | 6 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | You | 2 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Miller" | | 4 | "Morris" | | 5 | "Eva" | | 6 | "Kowalski" | | 7 | "You" |
| | places | | | globalScore | 0.322 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like a derelict transit hub" | | 1 | "looked like a wound" | | 2 | "sigils that seemed to shimmer under the beam of her torch" | | 3 | "felt like a shield that was starting to" |
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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 | 1256 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 35.89 | | std | 23.42 | | cv | 0.653 | | sampleLengths | | 0 | 77 | | 1 | 62 | | 2 | 73 | | 3 | 71 | | 4 | 13 | | 5 | 11 | | 6 | 38 | | 7 | 40 | | 8 | 60 | | 9 | 72 | | 10 | 23 | | 11 | 10 | | 12 | 19 | | 13 | 5 | | 14 | 78 | | 15 | 11 | | 16 | 32 | | 17 | 32 | | 18 | 44 | | 19 | 26 | | 20 | 9 | | 21 | 45 | | 22 | 17 | | 23 | 41 | | 24 | 7 | | 25 | 7 | | 26 | 44 | | 27 | 14 | | 28 | 6 | | 29 | 27 | | 30 | 59 | | 31 | 19 | | 32 | 65 | | 33 | 43 | | 34 | 56 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 11 | | totalVerbs | 175 | | matches | | 0 | "was sleeping" | | 1 | "were beginning" | | 2 | "was conducting" | | 3 | "was actually getting" | | 4 | "was looking" | | 5 | "was watching" | | 6 | "was vibrating" | | 7 | "was pointing" | | 8 | "was starting" | | 9 | "was beginning" | | 10 | "was just beginning" |
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| 14.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 89 | | ratio | 0.045 | | matches | | 0 | "The air beneath Camden didn't just smell of damp concrete and ancient dust; it tasted of ozone and something cloyingly sweet, like rotting lilies dipped in copper." | | 1 | "She knelt beside the body—a man in a tailored charcoal suit that cost more than Miller made in a month, now ruined by a jagged tear across the chest." | | 2 | "\"Crafted by a Shade artisan. It doesn't point to poles; it points to rifts.\"" | | 3 | "The killer didn't just murder him; he stepped out of our dimension.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 800 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.03125 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0075 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 14.11 | | std | 12.24 | | cv | 0.867 | | sampleLengths | | 0 | 27 | | 1 | 22 | | 2 | 11 | | 3 | 4 | | 4 | 13 | | 5 | 13 | | 6 | 24 | | 7 | 8 | | 8 | 10 | | 9 | 7 | | 10 | 10 | | 11 | 25 | | 12 | 12 | | 13 | 26 | | 14 | 3 | | 15 | 13 | | 16 | 29 | | 17 | 11 | | 18 | 15 | | 19 | 13 | | 20 | 3 | | 21 | 8 | | 22 | 7 | | 23 | 17 | | 24 | 14 | | 25 | 9 | | 26 | 31 | | 27 | 3 | | 28 | 10 | | 29 | 24 | | 30 | 13 | | 31 | 10 | | 32 | 13 | | 33 | 12 | | 34 | 11 | | 35 | 18 | | 36 | 18 | | 37 | 10 | | 38 | 13 | | 39 | 10 | | 40 | 5 | | 41 | 14 | | 42 | 5 | | 43 | 14 | | 44 | 15 | | 45 | 49 | | 46 | 11 | | 47 | 32 | | 48 | 16 | | 49 | 4 |
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| 50.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.38202247191011235 | | totalSentences | 89 | | uniqueOpeners | 34 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Instead, the dial was etched" |
| | ratio | 0.014 | |
| 84.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 74 | | matches | | 0 | "She paused, checking the worn" | | 1 | "It was 3:14 AM." | | 2 | "He was a decade younger" | | 3 | "He stood beside a body" | | 4 | "She moved closer, her sharp" | | 5 | "She knelt beside the body—a" | | 6 | "It clung to the fabric" | | 7 | "She pointed to a series" | | 8 | "Her mind drifted, for a" | | 9 | "She could almost see him" | | 10 | "She pushed it down and" | | 11 | "She noticed something glinting in" | | 12 | "She reached out, her movements" | | 13 | "It was a compass, though" | | 14 | "It spun violently, then snapped" | | 15 | "She looked past Miller to" | | 16 | "I was conducting research." | | 17 | "I have a permit for" | | 18 | "You don't just" | | 19 | "You need a bone token" |
| | ratio | 0.338 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 74 | | matches | | 0 | "The air beneath Camden didn't" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "She paused, checking the worn" | | 3 | "It was 3:14 AM." | | 4 | "The city above was sleeping," | | 5 | "The crime scene was a" | | 6 | "Here, the tiling shifted from" | | 7 | "This was the periphery of" | | 8 | "DS Miller said, not looking" | | 9 | "He was a decade younger" | | 10 | "He stood beside a body" | | 11 | "Quinn didn't answer." | | 12 | "She moved closer, her sharp" | | 13 | "She knelt beside the body—a" | | 14 | "It clung to the fabric" | | 15 | "Quinn said, her voice a" | | 16 | "Miller glanced down." | | 17 | "She pointed to a series" | | 18 | "Miller sighed, the sound echoing" | | 19 | "Quinn ignored him." |
| | ratio | 0.851 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 74 | | matches | | 0 | "To the uninitiated, it looked" | | 1 | "To Quinn, it looked like" |
| | ratio | 0.027 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "Here, the tiling shifted from the utilitarian white of the 1940s to something iridescent and organic, as if the walls were beginning to breathe." | | 1 | "She could almost see him standing there, his laughter echoing in the dark, before the silence of three years ago had swallowed him whole." | | 2 | "Quinn looked at the red-haired woman, seeing the genuine fear in her eyes, but also the spark of recognition. Quinn had spent years pretending the world was mad…" | | 3 | "As Quinn led Eva away, she glanced back at the body. The blood was beginning to fade, the geometric patterns dissolving into the gray concrete, leaving behind n…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 5 | | matches | | 0 | "DS Miller said, not looking up from his notebook" | | 1 | "Quinn said, her voice a low, precise rasp" | | 2 | "Quinn said, her voice cutting through the damp air" | | 3 | "Eva said, her voice trembling" | | 4 | "Quinn said, her tone leaving no room for argument" |
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| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Eva whispered (whisper)" | | 2 | "Quinn concluded. (conclude)" |
| | dialogueSentences | 36 | | tagDensity | 0.361 | | leniency | 0.722 | | rawRatio | 0.231 | | effectiveRatio | 0.167 | |