| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 36 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.063 | | effectiveRatio | 0.056 | |
| 88.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1353 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "softly" | | 2 | "utterly" |
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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) | |
| 18.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1353 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "tracing" | | 1 | "familiar" | | 2 | "weight" | | 3 | "stomach" | | 4 | "trembled" | | 5 | "flicker" | | 6 | "electric" | | 7 | "pulse" | | 8 | "charged" | | 9 | "silence" | | 10 | "velvet" | | 11 | "throbbed" | | 12 | "charm" | | 13 | "desire" | | 14 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 113 | | matches | | 0 | "g with anger" | | 1 | "a flicker of guilt" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 113 | | filterMatches | (empty) | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1343 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1207 | | uniqueNames | 9 | | maxNameDensity | 0.41 | | worstName | "Aurora" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 5 | | Silas | 2 | | French | 1 | | London | 1 | | Evan | 2 | | Pre-Law | 1 | | Cardiff | 1 | | Silence | 1 | | Carter | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Silas" | | 2 | "Evan" | | 3 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | 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 | 1343 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 133 | | matches | | 0 | "knew that tone" | | 1 | "tracing that scar" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 34.44 | | std | 21.99 | | cv | 0.639 | | sampleLengths | | 0 | 77 | | 1 | 79 | | 2 | 16 | | 3 | 54 | | 4 | 49 | | 5 | 22 | | 6 | 56 | | 7 | 38 | | 8 | 10 | | 9 | 49 | | 10 | 47 | | 11 | 15 | | 12 | 21 | | 13 | 51 | | 14 | 10 | | 15 | 11 | | 16 | 23 | | 17 | 9 | | 18 | 56 | | 19 | 45 | | 20 | 49 | | 21 | 4 | | 22 | 21 | | 23 | 62 | | 24 | 12 | | 25 | 10 | | 26 | 5 | | 27 | 23 | | 28 | 10 | | 29 | 56 | | 30 | 13 | | 31 | 77 | | 32 | 41 | | 33 | 14 | | 34 | 36 | | 35 | 48 | | 36 | 17 | | 37 | 52 | | 38 | 55 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 219 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 133 | | ratio | 0.06 | | matches | | 0 | "The streetlights painted her narrow hallway in streaks of orange and shadow; every nerve in her body bristled." | | 1 | "The handle—a polished ivory skull—felt familiar, ominous." | | 2 | "She pressed a palm flat against the cool wood, leaned in close enough to catch the faint scent of his aftershave—vetiver and something darker, like old leather." | | 3 | "His amber eye caught the hallway lamp’s gleam; the other—onyx black—remained half-shrouded." | | 4 | "She blinked up at him, chest fluttering with anger and something older—something raw." | | 5 | "He followed her gaze into the living room—over the narrow couch, the half-empty pizza box on the floor, the stack of law journals tossed on the windowsill where she studied by night." | | 6 | "He offered her a crooked grin—half" | | 7 | "As he began to speak, she sat forward, fingers on her notepad, mind already racing through legal codes—but beneath it all, deep in her chest, something shifted." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1227 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.02526487367563162 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004074979625101874 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 10.1 | | std | 6.96 | | cv | 0.689 | | sampleLengths | | 0 | 13 | | 1 | 22 | | 2 | 18 | | 3 | 5 | | 4 | 17 | | 5 | 2 | | 6 | 27 | | 7 | 19 | | 8 | 7 | | 9 | 26 | | 10 | 14 | | 11 | 2 | | 12 | 27 | | 13 | 4 | | 14 | 4 | | 15 | 12 | | 16 | 7 | | 17 | 8 | | 18 | 18 | | 19 | 15 | | 20 | 8 | | 21 | 6 | | 22 | 12 | | 23 | 4 | | 24 | 4 | | 25 | 4 | | 26 | 4 | | 27 | 26 | | 28 | 18 | | 29 | 3 | | 30 | 11 | | 31 | 11 | | 32 | 13 | | 33 | 9 | | 34 | 1 | | 35 | 12 | | 36 | 18 | | 37 | 19 | | 38 | 13 | | 39 | 12 | | 40 | 15 | | 41 | 2 | | 42 | 5 | | 43 | 6 | | 44 | 4 | | 45 | 5 | | 46 | 7 | | 47 | 8 | | 48 | 6 | | 49 | 8 |
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| 41.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3007518796992481 | | totalSentences | 133 | | uniqueOpeners | 40 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 102 | | matches | | 0 | "Always the image of control." | | 1 | "Instead, she turned her palm" |
| | ratio | 0.02 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 69 | | totalSentences | 102 | | matches | | 0 | "She froze mid-breath, a half-lunar" | | 1 | "She hadn’t expected visitors tonight." | | 2 | "She crossed to the door" | | 3 | "he said, voice low and" | | 4 | "She pressed a palm flat" | | 5 | "Her stomach wound tight." | | 6 | "She should ignore him." | | 7 | "She should walk away, lock" | | 8 | "She started to close it," | | 9 | "He paused, cane softly thudding" | | 10 | "His amber eye caught the" | | 11 | "She knew that tone." | | 12 | "She’d seen it when he" | | 13 | "She’d glimpsed it when he’d" | | 14 | "She tugged the door shut" | | 15 | "His cane tip pressed to" | | 16 | "She blinked up at him," | | 17 | "His voice cracked, a flicker" | | 18 | "Her palm burned where his" | | 19 | "She clicked the deadbolt open" |
| | ratio | 0.676 | |
| 33.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 102 | | matches | | 0 | "A sharp rap at the" | | 1 | "She froze mid-breath, a half-lunar" | | 2 | "The streetlights painted her narrow" | | 3 | "She hadn’t expected visitors tonight." | | 4 | "She crossed to the door" | | 5 | "The handle—a polished ivory skull—felt" | | 6 | "he said, voice low and" | | 7 | "She pressed a palm flat" | | 8 | "Her stomach wound tight." | | 9 | "She should ignore him." | | 10 | "She should walk away, lock" | | 11 | "The door swung open before" | | 12 | "A tentative spring, and then" | | 13 | "She started to close it," | | 14 | "He paused, cane softly thudding" | | 15 | "His amber eye caught the" | | 16 | "Aurora’s throat went dry." | | 17 | "She knew that tone." | | 18 | "She’d seen it when he" | | 19 | "She’d glimpsed it when he’d" |
| | ratio | 0.853 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 4 | | matches | | 0 | "A tentative spring, and then he was in, stepping across the threshold as if he owned the place." | | 1 | "He wore a crisp white shirt, dark trousers, shoes that shone beneath the hallway light." | | 2 | "She remembered the night he’d kissed her wrist, tracing that scar with a fingertip, promising to protect her." | | 3 | "She saw something vulnerable in his black eye, as if the demon blood in his veins trembled at this gentle touch." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 4 | | matches | | 0 | "His voice cracked, a flicker of unguarded strain" | | 1 | "he admitted, voice dropping" | | 2 | "she said, voice quiet" | | 3 | "she said, voice trembling" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he admitted (admit)" |
| | dialogueSentences | 36 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.143 | | effectiveRatio | 0.111 | |