| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 85.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1413 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "truly" | | 2 | "really" | | 3 | "slightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 46.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1413 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "flicker" | | 1 | "familiar" | | 2 | "weight" | | 3 | "silence" | | 4 | "sentinel" | | 5 | "rhythmic" | | 6 | "measured" | | 7 | "stark" | | 8 | "unwavering" | | 9 | "pulse" | | 10 | "beacon" |
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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 | 105 | | matches | (empty) | |
| 47.62% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 2 | | narrationSentences | 105 | | filterMatches | | 0 | "look" | | 1 | "think" | | 2 | "look see" |
| | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1406 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 9 | | matches | | 0 | "Rory, he said." | | 1 | "Evan, she said, her voice steady, stripped of the trembling girl he had last seen in Cardiff." | | 2 | "I stopped looking for ways out a long time ago, she lied, sliding into the booth opposite him." | | 3 | "Silas, she said, her tone dropping into a dangerous, protective hush." | | 4 | "We had a wreckage, she corrected." | | 5 | "Keep the change, he said, his voice flat." | | 6 | "Rory, Silas said." | | 7 | "There is a difference between running away and moving on, Aurora, he said, his tone softening only slightly." | | 8 | "Sleep well, Rory, he replied, turning back to his glasses." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1406 | | uniqueNames | 10 | | maxNameDensity | 0.71 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 2 | | London | 5 | | Silas | 10 | | Aurora | 8 | | Cardiff | 2 | | Rory | 5 | | Evan | 9 | | You | 5 |
| | persons | | 0 | "Nest" | | 1 | "Silas" | | 2 | "Aurora" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "You" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 33.72% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like a chasm" | | 1 | "seemed older his shoulders slumped as if the silence of the bar was pressing down on him" | | 2 | "quite unlearned" | | 3 | "felt like she was exactly where she was" |
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| 57.75% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.422 | | wordCount | 1406 | | matches | | 0 | "not with the familiarity of a shared history, but with the cold appraisal of a man cataloging a loss" | | 1 | "not as the boy who had once held her life in his hands, but as a man who was clearly out of his depth" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 39.06 | | std | 25.83 | | cv | 0.661 | | sampleLengths | | 0 | 79 | | 1 | 87 | | 2 | 49 | | 3 | 1 | | 4 | 66 | | 5 | 25 | | 6 | 19 | | 7 | 34 | | 8 | 17 | | 9 | 34 | | 10 | 21 | | 11 | 52 | | 12 | 62 | | 13 | 32 | | 14 | 57 | | 15 | 57 | | 16 | 82 | | 17 | 91 | | 18 | 23 | | 19 | 18 | | 20 | 70 | | 21 | 8 | | 22 | 21 | | 23 | 59 | | 24 | 10 | | 25 | 26 | | 26 | 13 | | 27 | 32 | | 28 | 11 | | 29 | 20 | | 30 | 62 | | 31 | 22 | | 32 | 67 | | 33 | 5 | | 34 | 10 | | 35 | 64 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 105 | | matches | | 0 | "was tired" | | 1 | "was said" | | 2 | "was meant" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 254 | | matches | | 0 | "was meticulously polishing" | | 1 | "was wearing" | | 2 | "were playing" | | 3 | "was searching" | | 4 | "was watching" | | 5 | "was always watching" | | 6 | "was pressing" | | 7 | "was standing" |
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| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 105 | | ratio | 0.048 | | matches | | 0 | "The voice was the same—that smooth, practiced cadence that used to promise everything and deliver nothing." | | 1 | "He leaned forward, and she saw the flicker of his eyes—that familiar, restless hunger that had once terrified her." | | 2 | "Seeing you now—with the weight you carry—I think I’m disappointed." | | 3 | "She watched him—really watched him—not as the boy who had once held her life in his hands, but as a man who was clearly out of his depth." | | 4 | "He reached into his coat, and for a split second, Aurora’s heart hammered against her ribs—a habit of panic she hadn't quite unlearned." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1414 | | adjectiveStacks | 2 | | stackExamples | | 0 | "stale stout, old parchment," | | 1 | "strange, cold calm settle" |
| | adverbCount | 53 | | adverbRatio | 0.03748231966053748 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.015558698727015558 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 13.39 | | std | 8.03 | | cv | 0.6 | | sampleLengths | | 0 | 29 | | 1 | 19 | | 2 | 31 | | 3 | 12 | | 4 | 19 | | 5 | 12 | | 6 | 14 | | 7 | 30 | | 8 | 19 | | 9 | 12 | | 10 | 18 | | 11 | 1 | | 12 | 15 | | 13 | 13 | | 14 | 5 | | 15 | 19 | | 16 | 14 | | 17 | 3 | | 18 | 22 | | 19 | 3 | | 20 | 16 | | 21 | 11 | | 22 | 23 | | 23 | 17 | | 24 | 19 | | 25 | 9 | | 26 | 6 | | 27 | 18 | | 28 | 3 | | 29 | 7 | | 30 | 7 | | 31 | 9 | | 32 | 6 | | 33 | 20 | | 34 | 3 | | 35 | 19 | | 36 | 16 | | 37 | 2 | | 38 | 7 | | 39 | 18 | | 40 | 11 | | 41 | 10 | | 42 | 11 | | 43 | 9 | | 44 | 7 | | 45 | 22 | | 46 | 10 | | 47 | 9 | | 48 | 9 | | 49 | 28 |
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| 30.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.2857142857142857 | | totalSentences | 105 | | uniqueOpeners | 30 | |
| 64.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 103 | | matches | | 0 | "Instead, she found herself walking" | | 1 | "Still looking for a way" |
| | ratio | 0.019 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 103 | | matches | | 0 | "She was tired, her delivery" | | 1 | "She walked past the bar," | | 2 | "He caught her eye and" | | 3 | "He didn't ask how her" | | 4 | "She turned toward the back," | | 5 | "His posture was rigid, his" | | 6 | "It was only when he" | | 7 | "She reached up instinctively, her" | | 8 | "She should have turned around." | | 9 | "She should have gone up" | | 10 | "He stood up, his movements" | | 11 | "He looked at her not" | | 12 | "You’ve changed, he remarked, gesturing" | | 13 | "You look different, but the" | | 14 | "I stopped looking for ways" | | 15 | "I moved on." | | 16 | "He let out a short," | | 17 | "We just find different versions" | | 18 | "I heard you were in" | | 19 | "I heard you were playing" |
| | ratio | 0.592 | |
| 37.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 103 | | matches | | 0 | "The green neon sign above" | | 1 | "Aurora ducked under the threshold," | | 2 | "She was tired, her delivery" | | 3 | "She walked past the bar," | | 4 | "He caught her eye and" | | 5 | "He didn't ask how her" | | 6 | "She turned toward the back," | | 7 | "The man was wearing a" | | 8 | "His posture was rigid, his" | | 9 | "It was only when he" | | 10 | "The memory of the crescent" | | 11 | "She reached up instinctively, her" | | 12 | "She should have turned around." | | 13 | "She should have gone up" | | 14 | "Evan looked up." | | 15 | "The years had sanded down" | | 16 | "Rory, he said." | | 17 | "The voice was the same—that" | | 18 | "He stood up, his movements" | | 19 | "He looked at her not" |
| | ratio | 0.845 | |
| 48.54% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 103 | | matches | | 0 | "If you’re looking for trouble," |
| | ratio | 0.01 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 9 | | matches | | 0 | "The man was wearing a tailored charcoal coat that looked entirely too expensive for this grimy corner of Soho." | | 1 | "Instead, she found herself walking forward, her boots clicking softly against the worn floorboards." | | 2 | "The years had sanded down his youth, replacing it with a hardness that looked dangerous in the flickering light of the bar." | | 3 | "He looked around the bar, his gaze lingering on the faded maps peeling from the walls." | | 4 | "He didn't intervene, but she could see him pause in his work, his hand resting on the smooth wood of the bar, his silver signet ring catching the light." | | 5 | "Silas didn't move, his hazel eyes tracking Evan until the door swung open, letting in a sudden, sharp gust of wet, London wind that stirred the dust on the old …" | | 6 | "He laid a hand on the edge of the wood, his eyes reflecting the deep, weary knowledge of a man who had seen too many ghosts return to haunt the living." | | 7 | "There is a difference between running away and moving on, Aurora, he said, his tone softening only slightly." | | 8 | "Outside, the green neon sign continued its rhythmic pulse, a beacon for the lost, the broken, and the ghosts who refused to stay buried." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |