| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "She pulled away [away]" |
| | dialogueSentences | 76 | | tagDensity | 0.303 | | leniency | 0.605 | | rawRatio | 0.043 | | effectiveRatio | 0.026 | |
| 92.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1281 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "really" | | 1 | "barely above a whisper" |
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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) | |
| 53.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1281 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "intensity" | | 1 | "stomach" | | 2 | "chaotic" | | 3 | "flickered" | | 4 | "perfect" | | 5 | "familiar" | | 6 | "weight" | | 7 | "silence" | | 8 | "whisper" | | 9 | "clenching" | | 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 | 2 | | narrationSentences | 84 | | matches | | 0 | "was terrified" | | 1 | "was scared" |
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| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1276 | | 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 | 16 | | wordCount | 773 | | uniqueNames | 8 | | maxNameDensity | 0.65 | | worstName | "Eva" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 1 | | French | 1 | | Stupid | 1 | | Ptolemy | 2 | | Eva | 5 | | Moreau | 1 | | Lucien | 4 | | Antiseptic | 1 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Moreau" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like he'd slept in it" |
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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 | 1276 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 17.24 | | std | 14.1 | | cv | 0.817 | | sampleLengths | | 0 | 8 | | 1 | 64 | | 2 | 1 | | 3 | 19 | | 4 | 23 | | 5 | 4 | | 6 | 44 | | 7 | 25 | | 8 | 27 | | 9 | 11 | | 10 | 51 | | 11 | 4 | | 12 | 31 | | 13 | 2 | | 14 | 28 | | 15 | 3 | | 16 | 2 | | 17 | 25 | | 18 | 7 | | 19 | 30 | | 20 | 33 | | 21 | 30 | | 22 | 4 | | 23 | 34 | | 24 | 33 | | 25 | 22 | | 26 | 5 | | 27 | 47 | | 28 | 26 | | 29 | 6 | | 30 | 14 | | 31 | 25 | | 32 | 15 | | 33 | 3 | | 34 | 46 | | 35 | 16 | | 36 | 32 | | 37 | 2 | | 38 | 15 | | 39 | 20 | | 40 | 11 | | 41 | 1 | | 42 | 9 | | 43 | 29 | | 44 | 7 | | 45 | 29 | | 46 | 7 | | 47 | 1 | | 48 | 14 | | 49 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 146 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 137 | | ratio | 0.015 | | matches | | 0 | "His mismatched eyes—amber and black—locked onto hers with an intensity that made her stomach flip." | | 1 | "She'd forgotten this about him—his absolute control, even when his body screamed otherwise." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 778 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.033419023136246784 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010282776349614395 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 9.31 | | std | 6.4 | | cv | 0.687 | | sampleLengths | | 0 | 8 | | 1 | 26 | | 2 | 15 | | 3 | 18 | | 4 | 5 | | 5 | 1 | | 6 | 19 | | 7 | 5 | | 8 | 2 | | 9 | 5 | | 10 | 6 | | 11 | 5 | | 12 | 4 | | 13 | 9 | | 14 | 11 | | 15 | 24 | | 16 | 5 | | 17 | 2 | | 18 | 18 | | 19 | 7 | | 20 | 3 | | 21 | 17 | | 22 | 11 | | 23 | 5 | | 24 | 23 | | 25 | 23 | | 26 | 4 | | 27 | 16 | | 28 | 3 | | 29 | 12 | | 30 | 2 | | 31 | 15 | | 32 | 13 | | 33 | 3 | | 34 | 2 | | 35 | 18 | | 36 | 7 | | 37 | 5 | | 38 | 2 | | 39 | 17 | | 40 | 10 | | 41 | 3 | | 42 | 20 | | 43 | 13 | | 44 | 16 | | 45 | 12 | | 46 | 2 | | 47 | 4 | | 48 | 20 | | 49 | 5 |
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| 73.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4744525547445255 | | totalSentences | 137 | | uniqueOpeners | 65 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Instead, she stepped aside." |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 74 | | matches | | 0 | "His mismatched eyes—amber and black—locked" | | 1 | "Her name in his mouth," | | 2 | "He was an information broker." | | 3 | "She tightened her grip on" | | 4 | "He was good at hiding" | | 5 | "He straightened, rolling his shoulders" | | 6 | "She should close the door." | | 7 | "He moved past her, bringing" | | 8 | "Her eyes dropped to his" | | 9 | "He made it to Eva's" | | 10 | "He caught himself on the" | | 11 | "She crossed the room in" | | 12 | "His laugh came out broken." | | 13 | "She unbuttoned his jacket, her" | | 14 | "He winced as she peeled" | | 15 | "Her medical knowledge extended to" | | 16 | "His hand closed over hers," | | 17 | "His palm was warm, familiar." | | 18 | "She met his eyes and" | | 19 | "He was terrified." |
| | ratio | 0.676 | |
| 14.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 74 | | matches | | 0 | "The door swung open and" | | 1 | "Lucien stood in the corridor," | | 2 | "His mismatched eyes—amber and black—locked" | | 3 | "The ivory-handled cane dangled from" | | 4 | "Her name in his mouth," | | 5 | "He was an information broker." | | 6 | "Finding people was literally his" | | 7 | "She tightened her grip on" | | 8 | "Something flickered across his face." | | 9 | "He was good at hiding" | | 10 | "He straightened, rolling his shoulders" | | 11 | "The vulnerability vanished." | | 12 | "The words hung between them" | | 13 | "She should close the door." | | 14 | "He moved past her, bringing" | | 15 | "Blood, she realized." | | 16 | "Her eyes dropped to his" | | 17 | "He made it to Eva's" | | 18 | "He caught himself on the" | | 19 | "She crossed the room in" |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "His mismatched eyes—amber and black—locked onto hers with an intensity that made her stomach flip." | | 1 | "Lucien Moreau, the man who'd once negotiated a ceasefire between two demon factions while standing in a burning building, was scared." |
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| 38.04% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 4 | | matches | | 0 | "She unbuttoned, her fingers brushing against his chest" | | 1 | "He stopped, jaw clenching" | | 2 | "He caught, thumb brushing over the crescent-shaped scar there" | | 3 | "He pulled, foreheads touching" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 76 | | tagDensity | 0.013 | | leniency | 0.026 | | rawRatio | 1 | | effectiveRatio | 0.026 | |