| 85.06% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 35 | | adverbTagCount | 5 | | adverbTags | | 0 | "He stepped back [back]" | | 1 | "he said finally [finally]" | | 2 | "He stood abruptly [abruptly]" | | 3 | "He pulled back [back]" | | 4 | "He stepped back [back]" |
| | dialogueSentences | 87 | | tagDensity | 0.402 | | leniency | 0.805 | | rawRatio | 0.143 | | effectiveRatio | 0.115 | |
| 79.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1468 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "very" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 55.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1468 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "practiced ease" | | count | 1 |
| | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "streaming" | | 1 | "navigating" | | 2 | "familiar" | | 3 | "chilled" | | 4 | "tension" | | 5 | "warmth" | | 6 | "stomach" | | 7 | "practiced ease" | | 8 | "silence" | | 9 | "could feel" | | 10 | "traced" |
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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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1472 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 973 | | uniqueNames | 7 | | maxNameDensity | 0.51 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 4 | | Lucien | 4 | | Mayfair | 1 | | French | 1 | | Rory | 5 | | Ptolemy | 3 | | Heat | 2 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Rory" | | 3 | "Ptolemy" | | 4 | "Heat" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.679 | | wordCount | 1472 | | matches | | 0 | "not the violence itself, but what it revealed" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 21.03 | | std | 14.37 | | cv | 0.684 | | sampleLengths | | 0 | 56 | | 1 | 42 | | 2 | 26 | | 3 | 36 | | 4 | 21 | | 5 | 35 | | 6 | 32 | | 7 | 58 | | 8 | 10 | | 9 | 48 | | 10 | 12 | | 11 | 22 | | 12 | 1 | | 13 | 7 | | 14 | 11 | | 15 | 2 | | 16 | 12 | | 17 | 53 | | 18 | 5 | | 19 | 16 | | 20 | 22 | | 21 | 40 | | 22 | 10 | | 23 | 3 | | 24 | 4 | | 25 | 19 | | 26 | 30 | | 27 | 38 | | 28 | 18 | | 29 | 24 | | 30 | 27 | | 31 | 24 | | 32 | 16 | | 33 | 41 | | 34 | 14 | | 35 | 5 | | 36 | 21 | | 37 | 19 | | 38 | 21 | | 39 | 4 | | 40 | 7 | | 41 | 3 | | 42 | 29 | | 43 | 48 | | 44 | 9 | | 45 | 11 | | 46 | 1 | | 47 | 20 | | 48 | 8 | | 49 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 172 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 143 | | ratio | 0.056 | | matches | | 0 | "The smell of curry from downstairs mixed with petrichor and something else — blood, faint but unmistakable." | | 1 | "His mismatched eyes — one amber, one black — swept over her sodden form." | | 2 | "\"Unless you'd prefer to explain to the landlady why there's blood on her carpet.\" His French accent, usually faint, thickened slightly — the only sign he wasn't as composed as he appeared." | | 3 | "She'd changed in front of him before — before things went sideways, before she'd learned exactly how dangerous caring for someone like him could be." | | 4 | "\"Putain de merde.\" He moved closer, and she caught his reflection in the mirror — jaw tight, that careful control slipping." | | 5 | "Rory forced herself to breathe normally, to ignore the warmth of his fingers against her skin, the way his cologne — sandalwood and something darker — made her stomach tighten." | | 6 | "This was why she'd left — not the violence itself, but what it revealed." | | 7 | "His lips quirked — not quite a smile." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 968 | | adjectiveStacks | 1 | | stackExamples | | 0 | "purple-black against pale skin." |
| | adverbCount | 30 | | adverbRatio | 0.030991735537190084 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.015495867768595042 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 10.29 | | std | 6.63 | | cv | 0.644 | | sampleLengths | | 0 | 18 | | 1 | 21 | | 2 | 17 | | 3 | 7 | | 4 | 11 | | 5 | 24 | | 6 | 10 | | 7 | 14 | | 8 | 2 | | 9 | 10 | | 10 | 23 | | 11 | 3 | | 12 | 11 | | 13 | 10 | | 14 | 2 | | 15 | 14 | | 16 | 19 | | 17 | 32 | | 18 | 11 | | 19 | 26 | | 20 | 21 | | 21 | 9 | | 22 | 1 | | 23 | 17 | | 24 | 17 | | 25 | 14 | | 26 | 10 | | 27 | 2 | | 28 | 17 | | 29 | 5 | | 30 | 1 | | 31 | 7 | | 32 | 10 | | 33 | 1 | | 34 | 2 | | 35 | 12 | | 36 | 5 | | 37 | 25 | | 38 | 4 | | 39 | 1 | | 40 | 18 | | 41 | 5 | | 42 | 3 | | 43 | 9 | | 44 | 4 | | 45 | 21 | | 46 | 1 | | 47 | 11 | | 48 | 18 | | 49 | 11 |
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| 73.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.46153846153846156 | | totalSentences | 143 | | uniqueOpeners | 66 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | 0 | "Instead, she found herself leaning" |
| | ratio | 0.011 | |
| 40.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 87 | | matches | | 0 | "His platinum hair remained perfectly" | | 1 | "His mismatched eyes — one" | | 2 | "She hadn't seen him since" | | 3 | "He stepped back, opening the" | | 4 | "His French accent, usually faint," | | 5 | "She shrugged off his almost-touch," | | 6 | "She peeled off the sodden" | | 7 | "He set the kit on" | | 8 | "She'd changed in front of" | | 9 | "She turned her back and" | | 10 | "His breath hitched" | | 11 | "She glanced down." | | 12 | "He moved closer, and she" | | 13 | "She perched on the bathtub's" | | 14 | "His fingers were gentle as" | | 15 | "He didn't look up from" | | 16 | "His hands stilled." | | 17 | "He resumed cleaning the wound," | | 18 | "She hissed as antiseptic hit" | | 19 | "He selected a needle from" |
| | ratio | 0.448 | |
| 40.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 87 | | matches | | 0 | "The knock came just past" | | 1 | "Rory stood frozen at the" | | 2 | "The smell of curry from" | | 3 | "The deadbolts scraped open one" | | 4 | "His platinum hair remained perfectly" | | 5 | "The word escaped him before" | | 6 | "His mismatched eyes — one" | | 7 | "Rory's voice came out rougher" | | 8 | "She hadn't seen him since" | | 9 | "He stepped back, opening the" | | 10 | "Water dripped steadily from her" | | 11 | "His French accent, usually faint," | | 12 | "Rory pushed past him, careful" | | 13 | "The familiar chaos of Eva's" | | 14 | "Ptolemy lifted his tabby head" | | 15 | "Lucien's hand hovered near her" | | 16 | "She shrugged off his almost-touch," | | 17 | "Blood had soaked through her" | | 18 | "Lucien appeared in the doorway" | | 19 | "She peeled off the sodden" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The knock came just past midnight, three sharp raps that cut through the rain hammering against Eva's windows." | | 1 | "This close, she could see the faint demonic markings that appeared along his collar when his control slipped, could feel the heat radiating from his body." |
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| 82.14% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 35 | | uselessAdditionCount | 3 | | matches | | 0 | "He resumed, voice carefully neutral" | | 1 | "He stood abruptly, turning to grip the sink" | | 2 | "he continued, voice dropping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "She hissed (hiss)" | | 1 | "he continued (continue)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 87 | | tagDensity | 0.046 | | leniency | 0.092 | | rawRatio | 0.75 | | effectiveRatio | 0.069 | |