| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "But she stepped back [back]" |
| | dialogueSentences | 62 | | tagDensity | 0.306 | | leniency | 0.613 | | rawRatio | 0.053 | | effectiveRatio | 0.032 | |
| 80.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1278 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "perfectly" | | 2 | "suddenly" |
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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) | |
| 53.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1278 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "intensity" | | 1 | "chill" | | 2 | "marble" | | 3 | "predator" | | 4 | "warmth" | | 5 | "weight" | | 6 | "resolved" | | 7 | "resolve" | | 8 | "implication" | | 9 | "tension" | | 10 | "pounding" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "hung in the air" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 94.70% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 89 | | 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 | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1276 | | ratio | 0.003 | | matches | | 0 | "chérie" | | 1 | "you" | | 2 | "was" | | 3 | "krovniks" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 768 | | uniqueNames | 8 | | maxNameDensity | 0.78 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Yu-Fei | 1 | | Moreau | 1 | | French | 2 | | London | 2 | | Cardiff | 1 | | Lucien | 6 | | East | 1 | | End | 1 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Moreau" | | 2 | "Lucien" |
| | places | | 0 | "French" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "East" | | 4 | "End" |
| | globalScore | 1 | | windowScore | 1 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a piece of the night had brok" | | 1 | "looked like a cage" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.784 | | wordCount | 1276 | | matches | | 0 | "not with the limp the cane suggested, but with a predator’s grace" |
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| 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 | 67 | | mean | 19.04 | | std | 13.28 | | cv | 0.697 | | sampleLengths | | 0 | 19 | | 1 | 35 | | 2 | 11 | | 3 | 18 | | 4 | 55 | | 5 | 22 | | 6 | 13 | | 7 | 26 | | 8 | 40 | | 9 | 40 | | 10 | 1 | | 11 | 2 | | 12 | 23 | | 13 | 5 | | 14 | 4 | | 15 | 23 | | 16 | 6 | | 17 | 31 | | 18 | 24 | | 19 | 25 | | 20 | 28 | | 21 | 41 | | 22 | 6 | | 23 | 22 | | 24 | 27 | | 25 | 28 | | 26 | 20 | | 27 | 25 | | 28 | 18 | | 29 | 52 | | 30 | 8 | | 31 | 38 | | 32 | 51 | | 33 | 5 | | 34 | 12 | | 35 | 11 | | 36 | 37 | | 37 | 4 | | 38 | 26 | | 39 | 2 | | 40 | 22 | | 41 | 6 | | 42 | 39 | | 43 | 7 | | 44 | 12 | | 45 | 14 | | 46 | 11 | | 47 | 35 | | 48 | 5 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 118 | | matches | | |
| 98.90% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 130 | | ratio | 0.015 | | matches | | 0 | "His gaze swept the single room—the unmade bed, the tiny kitchenette littered with noodle pots, the law textbooks stacked like a crumbling fortress on the floor." | | 1 | "The memory flashed—a damp alley in Cardiff, Lucien’s hand on her arm, shoving her behind him as something with too many teeth scuttled from the shadows." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 771 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.029831387808041506 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0038910505836575876 | |
| 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 | 9.82 | | std | 6.37 | | cv | 0.649 | | sampleLengths | | 0 | 9 | | 1 | 10 | | 2 | 15 | | 3 | 15 | | 4 | 5 | | 5 | 2 | | 6 | 5 | | 7 | 4 | | 8 | 3 | | 9 | 15 | | 10 | 18 | | 11 | 16 | | 12 | 21 | | 13 | 22 | | 14 | 13 | | 15 | 9 | | 16 | 17 | | 17 | 12 | | 18 | 10 | | 19 | 18 | | 20 | 26 | | 21 | 14 | | 22 | 1 | | 23 | 2 | | 24 | 13 | | 25 | 4 | | 26 | 6 | | 27 | 5 | | 28 | 4 | | 29 | 7 | | 30 | 5 | | 31 | 11 | | 32 | 6 | | 33 | 21 | | 34 | 10 | | 35 | 12 | | 36 | 12 | | 37 | 6 | | 38 | 6 | | 39 | 13 | | 40 | 18 | | 41 | 10 | | 42 | 15 | | 43 | 7 | | 44 | 13 | | 45 | 6 | | 46 | 6 | | 47 | 18 | | 48 | 4 | | 49 | 27 |
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| 57.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.4153846153846154 | | totalSentences | 130 | | uniqueOpeners | 54 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 82 | | matches | | 0 | "All casual grace vanished." |
| | ratio | 0.012 | |
| 54.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 82 | | matches | | 0 | "She peered through the peephole." | | 1 | "Her breath hitched." | | 2 | "He looked like a piece" | | 3 | "His voice was a low" | | 4 | "She didn’t move to let" | | 5 | "He tilted his head, the" | | 6 | "He crossed the threshold, and" | | 7 | "He brought the scent of" | | 8 | "His gaze swept the single" | | 9 | "It lingered on the window," | | 10 | "He rested both hands on" | | 11 | "She knew it was a" | | 12 | "She wrapped her arms around" | | 13 | "She let out a short," | | 14 | "He moved then, not with" | | 15 | "She held her ground, tilting" | | 16 | "She parroted his clipped phrasing" | | 17 | "Him wiping black blood on" | | 18 | "His gaze dropped to her" | | 19 | "She remembered the weight of" |
| | ratio | 0.415 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 82 | | matches | | 0 | "The third knock was a" | | 1 | "Wood shuddered under a fist" | | 2 | "Rory wiped her hands on" | | 3 | "Delivery shifts for Yu-Fei ended" | | 4 | "She peered through the peephole." | | 5 | "A sliver of platinum hair." | | 6 | "An ivory cane handle." | | 7 | "Her breath hitched." | | 8 | "The chain rattled as she" | | 9 | "Lucien Moreau filled the doorway," | | 10 | "He looked like a piece" | | 11 | "His voice was a low" | | 12 | "She didn’t move to let" | | 13 | "He tilted his head, the" | | 14 | "He crossed the threshold, and" | | 15 | "He brought the scent of" | | 16 | "His gaze swept the single" | | 17 | "It lingered on the window," | | 18 | "He rested both hands on" | | 19 | "A pose of patience." |
| | ratio | 0.927 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "One amber eye, one black, fixed on her with an intensity that made the small crescent scar on her wrist tingle." | | 1 | "At the man who’d been both her saviour and her heartbreak." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "He grabbed, his fingers circling the old crescent scar" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 62 | | tagDensity | 0.032 | | leniency | 0.065 | | rawRatio | 1 | | effectiveRatio | 0.065 | |