| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "He turned back [back]" | | 1 | "he conceded softly [softly]" |
| | dialogueSentences | 45 | | tagDensity | 0.356 | | leniency | 0.711 | | rawRatio | 0.125 | | effectiveRatio | 0.089 | |
| 89.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1433 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "precisely" | | 1 | "very" | | 2 | "softly" |
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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) | |
| 33.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1433 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "mask of indifference" | | count | 1 |
| | 15 | | | 16 | |
| | highlights | | 0 | "echoed" | | 1 | "navigating" | | 2 | "stark" | | 3 | "silence" | | 4 | "measured" | | 5 | "vibrated" | | 6 | "sanctuary" | | 7 | "predator" | | 8 | "stomach" | | 9 | "chaotic" | | 10 | "intensity" | | 11 | "echo" | | 12 | "whisper" | | 13 | "shattered" | | 14 | "mask of indifference" | | 15 | "gleaming" | | 16 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "the weight of his words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 47.62% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "managed to" | | 2 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1424 | | ratio | 0.004 | | matches | | 0 | "I know you’re in there." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 873 | | uniqueNames | 5 | | maxNameDensity | 1.03 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 1 | | Rory | 5 | | Moreau | 1 | | Lucien | 9 | | London | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Moreau" | | 3 | "Lucien" |
| | places | | | globalScore | 0.985 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like it scraped her lungs raw, she" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.702 | | wordCount | 1424 | | matches | | 0 | "not in seconds, but in the slow, steady beating of a victim’s heart" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 103 | | matches | | 0 | "notes that covered" | | 1 | "let that sink" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 34.73 | | std | 24.43 | | cv | 0.703 | | sampleLengths | | 0 | 68 | | 1 | 14 | | 2 | 101 | | 3 | 1 | | 4 | 62 | | 5 | 52 | | 6 | 67 | | 7 | 27 | | 8 | 29 | | 9 | 30 | | 10 | 9 | | 11 | 47 | | 12 | 22 | | 13 | 56 | | 14 | 33 | | 15 | 75 | | 16 | 44 | | 17 | 3 | | 18 | 48 | | 19 | 22 | | 20 | 18 | | 21 | 65 | | 22 | 7 | | 23 | 58 | | 24 | 3 | | 25 | 57 | | 26 | 6 | | 27 | 51 | | 28 | 2 | | 29 | 24 | | 30 | 22 | | 31 | 18 | | 32 | 2 | | 33 | 52 | | 34 | 13 | | 35 | 49 | | 36 | 12 | | 37 | 36 | | 38 | 34 | | 39 | 68 | | 40 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 87.38% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 103 | | ratio | 0.019 | | matches | | 0 | "She didn't bother with the peephole; it had been painted over years ago." | | 1 | "His mismatched eyes—one the colour of polished amber, the other a fathomless black—fixed on her." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 881 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.029511918274687854 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009080590238365494 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 13.83 | | std | 8.83 | | cv | 0.639 | | sampleLengths | | 0 | 25 | | 1 | 13 | | 2 | 7 | | 3 | 23 | | 4 | 2 | | 5 | 5 | | 6 | 2 | | 7 | 5 | | 8 | 18 | | 9 | 21 | | 10 | 26 | | 11 | 14 | | 12 | 13 | | 13 | 9 | | 14 | 1 | | 15 | 19 | | 16 | 1 | | 17 | 12 | | 18 | 5 | | 19 | 25 | | 20 | 18 | | 21 | 8 | | 22 | 4 | | 23 | 8 | | 24 | 14 | | 25 | 22 | | 26 | 18 | | 27 | 12 | | 28 | 15 | | 29 | 17 | | 30 | 6 | | 31 | 4 | | 32 | 14 | | 33 | 15 | | 34 | 12 | | 35 | 18 | | 36 | 9 | | 37 | 16 | | 38 | 6 | | 39 | 8 | | 40 | 17 | | 41 | 22 | | 42 | 20 | | 43 | 32 | | 44 | 4 | | 45 | 16 | | 46 | 9 | | 47 | 8 | | 48 | 18 | | 49 | 16 |
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| 58.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4077669902912621 | | totalSentences | 103 | | uniqueOpeners | 42 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Instead, she pressed her ear" |
| | ratio | 0.014 | |
| 25.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 70 | | matches | | 0 | "*I know you’re in there.*" | | 1 | "She moved silently through the" | | 2 | "She reached the front door," | | 3 | "She didn't bother with the" | | 4 | "She held her breath, listening" | | 5 | "It was the unnerving, predatory" | | 6 | "She turned the knob and" | | 7 | "His charcoal suit was immaculate," | | 8 | "His mismatched eyes—one the colour" | | 9 | "he said, his voice a" | | 10 | "He always used her full" | | 11 | "She leaned against the doorframe," | | 12 | "She started to push the" | | 13 | "His booted foot shot out," | | 14 | "He didn't push, didn't force" | | 15 | "He tilted his head, the" | | 16 | "He applied the slightest pressure," | | 17 | "It was a nervous habit" | | 18 | "He glided into the room," | | 19 | "He moved with a predator’s" |
| | ratio | 0.486 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 70 | | matches | | 0 | "Rory froze, a half-eaten carton" | | 1 | "The spoon clattered back into" | | 2 | "Ptolemy, Eva’s tabby cat, lifted" | | 3 | "This one slower, more insistent." | | 4 | "*I know you’re in there.*" | | 5 | "Rory placed the carton on" | | 6 | "She moved silently through the" | | 7 | "The air smelled of old" | | 8 | "She reached the front door," | | 9 | "She didn't bother with the" | | 10 | "She held her breath, listening" | | 11 | "That stillness was a signature." | | 12 | "It was the unnerving, predatory" | | 13 | "The first one scraped with" | | 14 | "The second clicked cleanly." | | 15 | "The third, a heavy, brass" | | 16 | "She turned the knob and" | | 17 | "Lucien Moreau stood in the" | | 18 | "His charcoal suit was immaculate," | | 19 | "His mismatched eyes—one the colour" |
| | ratio | 0.914 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | 0 | "Whoever stood on the other" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "It was the unnerving, predatory calm of a man who measured time not in seconds, but in the slow, steady beating of a victim’s heart." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 6 | | matches | | 0 | "He applied, and the door swung inward against her will" | | 1 | "He glided, his presence instantly overwhelming the small space" | | 2 | "He turned back, the smile gone" | | 3 | "Lucien said, his voice dropping to a near-whisper" | | 4 | "Lucien leaned, the ivory handle gleaming" | | 5 | "Lucien continued, his voice flat and cold as a morgue slab" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "he conceded softly (concede)" | | 2 | "Lucien continued (continue)" |
| | dialogueSentences | 45 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.6 | | effectiveRatio | 0.133 | |