| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped back [back]" |
| | dialogueSentences | 36 | | tagDensity | 0.361 | | leniency | 0.722 | | rawRatio | 0.077 | | effectiveRatio | 0.056 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1185 | | 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) | |
| 78.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1185 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "weight" | | 1 | "charm" | | 2 | "stomach" | | 3 | "silence" |
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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 | 43 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 43 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 64 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1201 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 748 | | uniqueNames | 5 | | maxNameDensity | 0.53 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 4 | | Moreau | 1 | | Eva | 4 | | Marseille | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | 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 | 1201 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 66 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 32.46 | | std | 24.85 | | cv | 0.765 | | sampleLengths | | 0 | 25 | | 1 | 42 | | 2 | 1 | | 3 | 38 | | 4 | 18 | | 5 | 17 | | 6 | 26 | | 7 | 69 | | 8 | 49 | | 9 | 5 | | 10 | 43 | | 11 | 18 | | 12 | 16 | | 13 | 14 | | 14 | 69 | | 15 | 2 | | 16 | 3 | | 17 | 56 | | 18 | 33 | | 19 | 58 | | 20 | 3 | | 21 | 6 | | 22 | 9 | | 23 | 77 | | 24 | 43 | | 25 | 2 | | 26 | 84 | | 27 | 1 | | 28 | 42 | | 29 | 45 | | 30 | 71 | | 31 | 3 | | 32 | 30 | | 33 | 54 | | 34 | 70 | | 35 | 41 | | 36 | 18 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 43 | | matches | | |
| 79.88% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 111 | | matches | | 0 | "was already moving " | | 1 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 66 | | ratio | 0.106 | | matches | | 0 | "The cane's tip shot out and wedged against the frame, and for a moment they were both just leaning — her weight against the wood, his against the brass-handled stick between them." | | 1 | "\"Your ex has been asking questions in the wrong places,\" he went on, and his voice — that low Marseille drawl she'd taught herself to stop hearing in her sleep — stayed level, almost gentle." | | 2 | "He exhaled through his nose — the closest thing to a laugh she'd gotten out of him in half a year — and moved toward the sofa anyway, and that was when she saw it." | | 3 | "She was already moving — Eva's bathroom, the first aid kit under the sink, because of course Eva had a proper one, suture thread and iodine and everything, because Rory's life had taught her that every flat she loved came stocked for emergencies." | | 4 | "But then the shirt came off and she had to look, had to map the terrain of him — the old scar below his collarbone from the night he'd stepped between her and a man with a gun, the lean muscle of his stomach, the fresh wound weeping red down toward his waistband." | | 5 | "His free hand came up and closed over hers — over the needle, over the wound, over all of it — and his skin was fever-warm and his mismatched eyes, one amber and one void-black, held hers with a steadiness that made her chest ache." | | 6 | "Then he lifted her hand — the one with the needle, the one with the blood, the one with the little crescent scar on the wrist — and pressed his lips to her knuckles." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 740 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.022972972972972974 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 18.2 | | std | 15.49 | | cv | 0.851 | | sampleLengths | | 0 | 25 | | 1 | 26 | | 2 | 2 | | 3 | 2 | | 4 | 12 | | 5 | 1 | | 6 | 6 | | 7 | 32 | | 8 | 18 | | 9 | 17 | | 10 | 10 | | 11 | 6 | | 12 | 6 | | 13 | 4 | | 14 | 35 | | 15 | 34 | | 16 | 32 | | 17 | 17 | | 18 | 5 | | 19 | 28 | | 20 | 1 | | 21 | 14 | | 22 | 18 | | 23 | 7 | | 24 | 9 | | 25 | 14 | | 26 | 35 | | 27 | 34 | | 28 | 2 | | 29 | 3 | | 30 | 19 | | 31 | 10 | | 32 | 23 | | 33 | 4 | | 34 | 26 | | 35 | 7 | | 36 | 43 | | 37 | 15 | | 38 | 3 | | 39 | 6 | | 40 | 9 | | 41 | 24 | | 42 | 53 | | 43 | 16 | | 44 | 5 | | 45 | 22 | | 46 | 2 | | 47 | 15 | | 48 | 24 | | 49 | 45 |
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| 60.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.42424242424242425 | | totalSentences | 66 | | uniqueOpeners | 28 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 38 | | matches | | 0 | "Then he lifted her hand" |
| | ratio | 0.026 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 38 | | matches | | 0 | "She started pushing the door" | | 1 | "Her grip on the door" | | 2 | "he went on, and his" | | 3 | "She stepped back before she" | | 4 | "He exhaled through his nose" | | 5 | "She dumped Ptolemy onto the" | | 6 | "He lowered himself onto the" | | 7 | "She was already moving —" | | 8 | "She came back with the" | | 9 | "He undid his buttons one" | | 10 | "she said, kneeling beside the" | | 11 | "He hissed through his teeth." | | 12 | "She worked the needle through" | | 13 | "He didn't flinch, but his" | | 14 | "His free hand came up" | | 15 | "His thumb moved across her" | | 16 | "you're going to say the" | | 17 | "He was quiet for a" | | 18 | "he murmured against her skin" |
| | ratio | 0.5 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 38 | | matches | | 0 | "The third deadbolt jammed the" | | 1 | "Lucien Moreau stood in the" | | 2 | "Water pooled around the ferrule" | | 3 | "She started pushing the door" | | 4 | "The cane's tip shot out" | | 5 | "The name hit her like" | | 6 | "Her grip on the door" | | 7 | "he went on, and his" | | 8 | "She stepped back before she" | | 9 | "Ptolemy appeared from behind a" | | 10 | "Rory scooped the cat up" | | 11 | "Something in his jaw shifted" | | 12 | "He exhaled through his nose" | | 13 | "The dark stain spreading along" | | 14 | "She dumped Ptolemy onto the" | | 15 | "The shirt beneath was soaked" | | 16 | "A gash sat just above" | | 17 | "He lowered himself onto the" | | 18 | "She was already moving —" | | 19 | "She came back with the" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 2 | | matches | | 0 | "His free hand came up and closed over hers — over the needle, over the wound, over all of it — and his skin was fever-warm and his mismatched eyes, one amber an…" | | 1 | "Ptolemy had claimed the far end of the sofa and was watching them with the smug indifference of a creature who had never once been stupid about another person." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "His thumb moved, a stroke so light she might have imagined it" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "the thing you didn't (do)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 36 | | tagDensity | 0.139 | | leniency | 0.278 | | rawRatio | 0.4 | | effectiveRatio | 0.111 | |