| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "The name dropped like [like]" | | 1 | "she said slowly [slowly]" |
| | dialogueSentences | 57 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0.095 | | effectiveRatio | 0.07 | |
| 86.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1085 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "slowly" |
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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) | |
| 30.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1085 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "weight" | | 1 | "predictable" | | 2 | "flickered" | | 3 | "pulse" | | 4 | "silence" | | 5 | "throbbed" | | 6 | "echo" | | 7 | "whisper" | | 8 | "silk" | | 9 | "glinting" | | 10 | "familiar" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | 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 | 17 | | markdownWords | 28 | | totalWords | 1075 | | ratio | 0.026 | | matches | | 0 | "he" | | 1 | "me" | | 2 | "did" | | 3 | "me" | | 4 | "watch" | | 5 | "did" | | 6 | "Don’t look them in the eye." | | 7 | "I’m lying for us." | | 8 | "did" | | 9 | "Rory" | | 10 | "Laila" | | 11 | "Aurora." | | 12 | "had" | | 13 | "hate" | | 14 | "mal phárā—into the flame." | | 15 | "him" | | 16 | "alive." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 592 | | uniqueNames | 4 | | maxNameDensity | 1.18 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Eva" | | 1 | "Evan" | | 2 | "Moreau" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.909 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | 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 | 1075 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 13.96 | | std | 10.78 | | cv | 0.772 | | sampleLengths | | 0 | 6 | | 1 | 30 | | 2 | 16 | | 3 | 5 | | 4 | 3 | | 5 | 12 | | 6 | 3 | | 7 | 18 | | 8 | 19 | | 9 | 5 | | 10 | 46 | | 11 | 9 | | 12 | 5 | | 13 | 16 | | 14 | 14 | | 15 | 4 | | 16 | 37 | | 17 | 4 | | 18 | 25 | | 19 | 24 | | 20 | 36 | | 21 | 8 | | 22 | 7 | | 23 | 2 | | 24 | 46 | | 25 | 24 | | 26 | 25 | | 27 | 2 | | 28 | 3 | | 29 | 26 | | 30 | 27 | | 31 | 4 | | 32 | 18 | | 33 | 39 | | 34 | 23 | | 35 | 8 | | 36 | 17 | | 37 | 1 | | 38 | 17 | | 39 | 6 | | 40 | 21 | | 41 | 24 | | 42 | 13 | | 43 | 20 | | 44 | 3 | | 45 | 15 | | 46 | 6 | | 47 | 17 | | 48 | 13 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 105 | | matches | (empty) | |
| 10.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 130 | | ratio | 0.046 | | matches | | 0 | "The moment the door cracked, he was there—tall, charcoal suit immaculate, ivory-handled cane tapping once against the floorboards." | | 1 | "Lucien’s amber eye caught the lamplight; the other, black as a starless sky, remained steady." | | 2 | "Not for fear of him finding her—but for fear of what she might do if he did." | | 3 | "She studied him—the sharp line of his jaw, the way his fingers flexed slightly at his sides, a rare tell." | | 4 | "Engraved with a spiral and the words *mal phárā—into the flame.*" | | 5 | "From outside, a sound—three slow knocks on the front door of the curry house below." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 598 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.033444816053511704 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0033444816053511705 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 8.27 | | std | 6.37 | | cv | 0.771 | | sampleLengths | | 0 | 6 | | 1 | 3 | | 2 | 18 | | 3 | 3 | | 4 | 1 | | 5 | 1 | | 6 | 4 | | 7 | 16 | | 8 | 5 | | 9 | 3 | | 10 | 2 | | 11 | 4 | | 12 | 5 | | 13 | 1 | | 14 | 3 | | 15 | 7 | | 16 | 11 | | 17 | 3 | | 18 | 13 | | 19 | 2 | | 20 | 1 | | 21 | 5 | | 22 | 18 | | 23 | 28 | | 24 | 9 | | 25 | 5 | | 26 | 6 | | 27 | 10 | | 28 | 7 | | 29 | 7 | | 30 | 4 | | 31 | 6 | | 32 | 5 | | 33 | 15 | | 34 | 11 | | 35 | 4 | | 36 | 13 | | 37 | 7 | | 38 | 5 | | 39 | 24 | | 40 | 14 | | 41 | 22 | | 42 | 5 | | 43 | 3 | | 44 | 7 | | 45 | 2 | | 46 | 15 | | 47 | 31 | | 48 | 3 | | 49 | 4 |
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| 61.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.38461538461538464 | | totalSentences | 130 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 69 | | matches | | 0 | "Then a voice, smooth as" | | 1 | "Then the lights went out." | | 2 | "Then a fourth, sharp, like" |
| | ratio | 0.043 | |
| 22.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 69 | | matches | | 0 | "She stood behind Eva’s door," | | 1 | "Her breath caught." | | 2 | "She didn’t move." | | 3 | "She glanced down." | | 4 | "She slid back the chain." | | 5 | "His heterochromatic eyes flickered over" | | 6 | "She didn’t step back" | | 7 | "His lip curved" | | 8 | "She didn’t smile" | | 9 | "She scoffed, but her pulse" | | 10 | "It had been eighteen months." | | 11 | "He stepped forward, just enough" | | 12 | "He always moved like he’d" | | 13 | "he said, closing the door" | | 14 | "She backed toward the kitchenette." | | 15 | "She said nothing." | | 16 | "She’d run from Evan." | | 17 | "she said, voice low" | | 18 | "His face didn’t flinch." | | 19 | "She turned away, gripping the" |
| | ratio | 0.493 | |
| 61.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 69 | | matches | | 0 | "The chain rattled like a" | | 1 | "Aurora didn’t answer." | | 2 | "She stood behind Eva’s door," | | 3 | "Her breath caught." | | 4 | "French, but not soft." | | 5 | "Marseille roughness under the polish." | | 6 | "She didn’t move." | | 7 | "She glanced down." | | 8 | "The tabby cat sat upright," | | 9 | "She slid back the chain." | | 10 | "The moment the door cracked," | | 11 | "His heterochromatic eyes flickered over" | | 12 | "She didn’t step back" | | 13 | "His lip curved" | | 14 | "She didn’t smile" | | 15 | "She scoffed, but her pulse" | | 16 | "It had been eighteen months." | | 17 | "He stepped forward, just enough" | | 18 | "He always moved like he’d" | | 19 | "he said, closing the door" |
| | ratio | 0.797 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0 | | effectiveRatio | 0 | |