| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1140 | | 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) | |
| 16.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1140 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "familiar" | | 1 | "treacherous" | | 2 | "beacon" | | 3 | "symphony" | | 4 | "footsteps" | | 5 | "facade" | | 6 | "maw" | | 7 | "echoing" | | 8 | "comforting" | | 9 | "weight" | | 10 | "intricate" | | 11 | "vibrated" | | 12 | "shimmered" | | 13 | "gloom" | | 14 | "cacophony" | | 15 | "stomach" |
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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 | 96 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 1137 | | ratio | 0.007 | | matches | | 0 | "Don’t let it get away. Not this time." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1128 | | uniqueNames | 14 | | maxNameDensity | 0.98 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 2 | | Quinn | 11 | | Raven | 1 | | Nest | 1 | | Morris | 3 | | Tube | 2 | | Veil | 1 | | Market | 1 | | England | 1 | | Detective | 2 | | Sergeant | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Sergeant" | | 5 | "Police" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a shard of bone, carved with" | | 1 | "looked like trapped lightning" | | 2 | "knives that seemed to drink the light around them" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.88 | | wordCount | 1137 | | matches | | 0 | "not crumbling but melting away like wax, revealing a passage" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 59.84 | | std | 37.95 | | cv | 0.634 | | sampleLengths | | 0 | 77 | | 1 | 98 | | 2 | 101 | | 3 | 70 | | 4 | 63 | | 5 | 19 | | 6 | 85 | | 7 | 15 | | 8 | 115 | | 9 | 19 | | 10 | 7 | | 11 | 31 | | 12 | 8 | | 13 | 86 | | 14 | 135 | | 15 | 17 | | 16 | 67 | | 17 | 73 | | 18 | 51 |
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| 86.99% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 96 | | matches | | 0 | "been proven" | | 1 | "been ruled" | | 2 | "was lost" | | 3 | "were carved" | | 4 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 178 | | matches | | 0 | "was hunting" | | 1 | "was haggling" |
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| 54.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 97 | | ratio | 0.031 | | matches | | 0 | "The suspect—a lean figure in a dark wool coat—was fifty yards ahead and pulling away, moving with a liquid grace that defied the treacherous footing." | | 1 | "Beings of every shape and description mingled in the crowd—some almost human, others so far from it they made her stomach clench." | | 2 | "She holstered her weapon; it would only draw the wrong kind of attention." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1134 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ethereal blue-green light." |
| | adverbCount | 28 | | adverbRatio | 0.024691358024691357 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006172839506172839 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 11.72 | | std | 6.65 | | cv | 0.567 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 25 | | 3 | 5 | | 4 | 12 | | 5 | 15 | | 6 | 14 | | 7 | 23 | | 8 | 23 | | 9 | 18 | | 10 | 5 | | 11 | 18 | | 12 | 10 | | 13 | 9 | | 14 | 13 | | 15 | 15 | | 16 | 5 | | 17 | 14 | | 18 | 17 | | 19 | 9 | | 20 | 15 | | 21 | 8 | | 22 | 21 | | 23 | 10 | | 24 | 3 | | 25 | 3 | | 26 | 1 | | 27 | 4 | | 28 | 12 | | 29 | 12 | | 30 | 14 | | 31 | 4 | | 32 | 17 | | 33 | 12 | | 34 | 7 | | 35 | 4 | | 36 | 12 | | 37 | 7 | | 38 | 11 | | 39 | 10 | | 40 | 25 | | 41 | 16 | | 42 | 8 | | 43 | 7 | | 44 | 7 | | 45 | 16 | | 46 | 4 | | 47 | 4 | | 48 | 4 | | 49 | 3 |
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| 41.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.32989690721649484 | | totalSentences | 97 | | uniqueOpeners | 32 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "Then, with the sharp jaw" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 95 | | matches | | 0 | "He didn’t slip, didn’t stumble." | | 1 | "He flowed around corners, a" | | 2 | "She didn’t need to look" | | 3 | "She’d been watching the place" | | 4 | "They veered down a narrower" | | 5 | "She focused on the way" | | 6 | "He was fast, unnaturally so." | | 7 | "It was the same feeling" | | 8 | "He sprinted down the steps," | | 9 | "He reached into his coat" | | 10 | "He held it up to" | | 11 | "It looked like a shard" | | 12 | "She’d seen the impossible things" | | 13 | "she muttered, and lunged forward" | | 14 | "She shoved her shoulder through" | | 15 | "She was not in an" | | 16 | "She stood in a cavernous" | | 17 | "She’d heard whispers of it," | | 18 | "Her suspect was gone, swallowed" | | 19 | "She had lost him." |
| | ratio | 0.263 | |
| 70.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 95 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn’s lungs burned," | | 2 | "The suspect—a lean figure in" | | 3 | "He didn’t slip, didn’t stumble." | | 4 | "He flowed around corners, a" | | 5 | "Quinn’s worn leather watch, a" | | 6 | "She didn’t need to look" | | 7 | "Time had compressed into the" | | 8 | "The suspect had bolted from" | | 9 | "She’d been watching the place" | | 10 | "Tonight, she’d been proven right." | | 11 | "They veered down a narrower" | | 12 | "The city’s symphony of sirens" | | 13 | "Quinn’s military bearing kept her" | | 14 | "She focused on the way" | | 15 | "He was fast, unnaturally so." | | 16 | "A cold knot, one that" | | 17 | "It was the same feeling" | | 18 | "The suspect darted left, plunging" | | 19 | "Quinn followed, her hand instinctively" |
| | ratio | 0.779 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 95 | | matches | | 0 | "To secure the perimeter." | | 1 | "To wait for backup." | | 2 | "To them, she was just" |
| | ratio | 0.032 | |
| 35.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 8 | | matches | | 0 | "The suspect—a lean figure in a dark wool coat—was fifty yards ahead and pulling away, moving with a liquid grace that defied the treacherous footing." | | 1 | "The bricks before the man began to dissolve, not crumbling but melting away like wax, revealing a passage that glowed with a soft, internal luminescence." | | 2 | "She stood in a cavernous space, a natural cavern that had been brutally, beautifully expanded." | | 3 | "Above her, the ceiling was lost in a gloom that shimmered with constellations of bioluminescent fungi, casting a soft, ethereal blue-green light." | | 4 | "The hum she’d felt earlier was here too, a low, guttural thrumming that vibrated in her bones." | | 5 | "She’d heard whispers of it, snatches of interrogation from low-level informants who talked in riddles, but she’d never let herself believe." | | 6 | "The sounds were a cacophony of murmured transactions, the chime of glass bells, and a strange, reedy music that had no discernible source." | | 7 | "The sensible part of her, the part that was still Detective Sergeant Quinn of the Metropolitan Police, told her to find the exit and never look back." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |