| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.289 | | leniency | 0.579 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1061 | | 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) | |
| 24.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1061 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "determined" | | 1 | "clandestine" | | 2 | "echoing" | | 3 | "gloom" | | 4 | "comforting" | | 5 | "weight" | | 6 | "tinged" | | 7 | "echoed" | | 8 | "racing" | | 9 | "perfect" | | 10 | "familiar" | | 11 | "etched" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "eyes widened" | | 1 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 69 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1059 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 9.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 784 | | uniqueNames | 7 | | maxNameDensity | 2.81 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 22 | | Quinn | 1 | | Tube | 1 | | Veil | 2 | | Market | 4 | | Eva | 12 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Eva" | | 4 | "Kowalski" |
| | places | (empty) | | globalScore | 0.097 | | windowScore | 0.5 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 3 | | matches | | 0 | "It was as if he had simply" | | 1 | "something like this" | | 2 | "quite place" |
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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 | 1059 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 26.48 | | std | 15.38 | | cv | 0.581 | | sampleLengths | | 0 | 68 | | 1 | 60 | | 2 | 53 | | 3 | 44 | | 4 | 30 | | 5 | 20 | | 6 | 10 | | 7 | 30 | | 8 | 10 | | 9 | 55 | | 10 | 52 | | 11 | 18 | | 12 | 26 | | 13 | 9 | | 14 | 17 | | 15 | 36 | | 16 | 12 | | 17 | 13 | | 18 | 24 | | 19 | 16 | | 20 | 24 | | 21 | 20 | | 22 | 18 | | 23 | 34 | | 24 | 37 | | 25 | 41 | | 26 | 10 | | 27 | 10 | | 28 | 20 | | 29 | 30 | | 30 | 23 | | 31 | 12 | | 32 | 13 | | 33 | 19 | | 34 | 16 | | 35 | 12 | | 36 | 30 | | 37 | 10 | | 38 | 36 | | 39 | 41 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 69 | | matches | | 0 | "been drawn" | | 1 | "were placed" | | 2 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 146 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 96 | | ratio | 0.01 | | matches | | 0 | "The air was thick with the scent of mildew and something else—something metallic and sharp that set her instincts on edge." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 786 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.024173027989821884 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010178117048346057 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 11.03 | | std | 5.39 | | cv | 0.489 | | sampleLengths | | 0 | 29 | | 1 | 21 | | 2 | 18 | | 3 | 16 | | 4 | 14 | | 5 | 13 | | 6 | 17 | | 7 | 22 | | 8 | 14 | | 9 | 17 | | 10 | 8 | | 11 | 12 | | 12 | 17 | | 13 | 7 | | 14 | 14 | | 15 | 16 | | 16 | 5 | | 17 | 15 | | 18 | 10 | | 19 | 10 | | 20 | 20 | | 21 | 8 | | 22 | 2 | | 23 | 18 | | 24 | 11 | | 25 | 14 | | 26 | 12 | | 27 | 13 | | 28 | 17 | | 29 | 22 | | 30 | 14 | | 31 | 4 | | 32 | 11 | | 33 | 15 | | 34 | 6 | | 35 | 3 | | 36 | 4 | | 37 | 13 | | 38 | 9 | | 39 | 9 | | 40 | 10 | | 41 | 7 | | 42 | 1 | | 43 | 8 | | 44 | 4 | | 45 | 9 | | 46 | 4 | | 47 | 9 | | 48 | 15 | | 49 | 11 |
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| 55.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3541666666666667 | | totalSentences | 96 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 68 | | matches | | 0 | "She paused, taking in the" | | 1 | "She was speaking in low" | | 2 | "Her green eyes, magnified by" | | 3 | "She tucked a stray curl" | | 4 | "she asked, her voice steady," | | 5 | "They led her to the" | | 6 | "She reached out, her fingers" | | 7 | "she murmured, more to herself" | | 8 | "It was as if he" | | 9 | "she said, her voice firm" | | 10 | "It made sense, in a" | | 11 | "It was the perfect cover" | | 12 | "She turned back to the" | | 13 | "she said, her voice low" | | 14 | "He held out a small" | | 15 | "she murmured, recognition dawning" | | 16 | "They were on the trail" |
| | ratio | 0.25 | |
| 4.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 68 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air was thick with" | | 2 | "She paused, taking in the" | | 3 | "The Veil Market, usually bustling" | | 4 | "The stalls, draped in shadow," | | 5 | "The only sound was the" | | 6 | "Harlow's brown eyes, keen and" | | 7 | "She was speaking in low" | | 8 | "Harlow approached, her movements precise" | | 9 | "Eva greeted, turning to face" | | 10 | "Her green eyes, magnified by" | | 11 | "She tucked a stray curl" | | 12 | "Harlow nodded, her gaze shifting" | | 13 | "she asked, her voice steady," | | 14 | "The officer cleared his throat." | | 15 | "Harlow pressed, her mind already" | | 16 | "Eva interjected, her voice tinged" | | 17 | "Harlow frowned, her skepticism warring" | | 18 | "They led her to the" | | 19 | "A man, mid-thirties, his clothes" |
| | ratio | 0.912 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "She was speaking in low tones to a uniformed officer, her hands gesturing animatedly." | | 1 | "She reached out, her fingers brushing the edge of one of the symbols, feeling the grit of the chalk beneath her skin." | | 2 | "But there was still something missing, something that nagged at the edges of her consciousness." | | 3 | "They were on the trail of something big, something that went beyond the usual boundaries of their world." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 11 | | matches | | 0 | "Eva greeted, turning to face her" | | 1 | "she asked, her voice steady, betraying none of the unease she felt" | | 2 | "Harlow pressed, her mind already working through possibilities" | | 3 | "she murmured, more to herself than to the others" | | 4 | "Harlow echoed, her mind racing" | | 5 | "she said, her voice firm" | | 6 | "Harlow said, her voice thoughtful" | | 7 | "she said, her voice low" | | 8 | "He held out, its casing etched with sigils, the needle quivering slightly" | | 9 | "she murmured, recognition dawning" | | 10 | "Harlow said, her voice thoughtful" |
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| 71.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "Harlow pressed (press)" | | 1 | "she murmured (murmur)" | | 2 | "she murmured (murmur)" |
| | dialogueSentences | 38 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0.375 | | effectiveRatio | 0.158 | |