| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1312 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 27.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1312 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "flickered" | | 1 | "rhythmic" | | 2 | "familiar" | | 3 | "weight" | | 4 | "gloom" | | 5 | "chaotic" | | 6 | "silence" | | 7 | "stomach" | | 8 | "etched" | | 9 | "intensity" | | 10 | "whisper" | | 11 | "fractured" |
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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) | |
| 22.56% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 3 | | narrationSentences | 95 | | filterMatches | | 0 | "feel" | | 1 | "look…" | | 2 | "know" | | 3 | "think" |
| | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1309 | | ratio | 0 | | matches | (empty) | |
| 25.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 6 | | matches | | 0 | "Just a long shift, Silas, Rory said, dropping her delivery bag onto the nearest stool." | | 1 | "I stopped hiding a long time ago, Evan, Rory replied." | | 2 | "I define my own size now, Evan, she said, leaning forward." | | 3 | "I know, she said, opening her eyes." | | 4 | "Ghosts are only dangerous if you agree to let them haunt you, Silas said." | | 5 | "No, she agreed, her voice barely a whisper." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1309 | | uniqueNames | 12 | | maxNameDensity | 1.07 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "You" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Tuesday | 1 | | Silas | 10 | | Rory | 14 | | London | 2 | | Cardiff | 3 | | Evan | 7 | | Aurora | 2 | | Carter | 1 | | You | 10 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Carter" | | 6 | "You" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 0.965 | | windowScore | 0.667 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a man who spent his life clim" | | 1 | "felt like a physical blow" |
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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 | 1309 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 42.23 | | std | 21.23 | | cv | 0.503 | | sampleLengths | | 0 | 68 | | 1 | 80 | | 2 | 22 | | 3 | 47 | | 4 | 56 | | 5 | 11 | | 6 | 20 | | 7 | 65 | | 8 | 18 | | 9 | 78 | | 10 | 1 | | 11 | 56 | | 12 | 19 | | 13 | 41 | | 14 | 50 | | 15 | 32 | | 16 | 48 | | 17 | 43 | | 18 | 54 | | 19 | 70 | | 20 | 23 | | 21 | 44 | | 22 | 42 | | 23 | 58 | | 24 | 32 | | 25 | 20 | | 26 | 43 | | 27 | 48 | | 28 | 30 | | 29 | 10 | | 30 | 80 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 95 | | matches | | 0 | "was dressed" | | 1 | "was wrapped" | | 2 | "were etched" | | 3 | "been finished" | | 4 | "been told" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 239 | | matches | | 0 | "was pushing" | | 1 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 4 | | flaggedSentences | 6 | | totalSentences | 95 | | ratio | 0.063 | | matches | | 0 | "It was quiet for a Tuesday; the midday rush of the city was still hours away, leaving the bar to the ghosts and the regulars." | | 1 | "He shifted his weight, favoring his left leg—a habit that had become as much a part of his silhouette as the grey-streaked ginger of his beard." | | 2 | "It was a laugh she hadn’t heard in five years—a bright, brittle sound that used to signal the start of chaotic weekends in Cardiff." | | 3 | "She had been Aurora in Cardiff; she had been Carter in the law lectures she’d barely attended; she had become Rory in the silence after she left." | | 4 | "He had expected a victim; he had found a witness." | | 5 | "She stared at the photographs on the walls—blurred images of places she’d never been, of people Silas had known before the world had broken him." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1314 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 49 | | adverbRatio | 0.03729071537290715 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.0106544901065449 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 13.78 | | std | 8.14 | | cv | 0.591 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 25 | | 3 | 18 | | 4 | 10 | | 5 | 26 | | 6 | 26 | | 7 | 2 | | 8 | 2 | | 9 | 18 | | 10 | 15 | | 11 | 19 | | 12 | 13 | | 13 | 14 | | 14 | 20 | | 15 | 22 | | 16 | 6 | | 17 | 5 | | 18 | 7 | | 19 | 13 | | 20 | 16 | | 21 | 25 | | 22 | 24 | | 23 | 2 | | 24 | 16 | | 25 | 12 | | 26 | 26 | | 27 | 24 | | 28 | 16 | | 29 | 1 | | 30 | 12 | | 31 | 27 | | 32 | 17 | | 33 | 19 | | 34 | 19 | | 35 | 22 | | 36 | 27 | | 37 | 2 | | 38 | 1 | | 39 | 4 | | 40 | 16 | | 41 | 14 | | 42 | 18 | | 43 | 10 | | 44 | 4 | | 45 | 3 | | 46 | 20 | | 47 | 11 | | 48 | 11 | | 49 | 8 |
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| 36.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.2631578947368421 | | totalSentences | 95 | | uniqueOpeners | 25 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Just a long shift, Silas," | | 1 | "Maybe I’m just waiting for" |
| | ratio | 0.023 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 87 | | matches | | 0 | "It was quiet for a" | | 1 | "He looked up, his hazel" | | 2 | "He didn’t stop his work," | | 3 | "He shifted his weight, favoring" | | 4 | "His voice was a low" | | 5 | "She flexed her left wrist," | | 6 | "I feel like I’ve cycled" | | 7 | "He didn’t mention the tips," | | 8 | "He just watched her, his" | | 9 | "You’re thinking too loud again," | | 10 | "It’s bad for the upholstery." | | 11 | "She offered him a thin," | | 12 | "It was a laugh she" | | 13 | "He looked different, though the" | | 14 | "He was dressed in a" | | 15 | "He looked like a man" | | 16 | "He squinted into the gloom," | | 17 | "She had been Aurora in" | | 18 | "It’s Aurora, she said, her" | | 19 | "He recognized Silas, offering a" |
| | ratio | 0.598 | |
| 34.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 87 | | matches | | 0 | "The neon sign above The" | | 1 | "Rory pushed through the heavy" | | 2 | "It was quiet for a" | | 3 | "Silas stood behind the mahogany" | | 4 | "He looked up, his hazel" | | 5 | "He didn’t stop his work," | | 6 | "He shifted his weight, favoring" | | 7 | "His voice was a low" | | 8 | "She flexed her left wrist," | | 9 | "I feel like I’ve cycled" | | 10 | "Silas poured a splash of" | | 11 | "He didn’t mention the tips," | | 12 | "He just watched her, his" | | 13 | "You’re thinking too loud again," | | 14 | "It’s bad for the upholstery." | | 15 | "She offered him a thin," | | 16 | "The door chimes trilled, a" | | 17 | "Rory didn’t turn around immediately," | | 18 | "It was a laugh she" | | 19 | "He looked different, though the" |
| | ratio | 0.851 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 87 | | matches | | 0 | "Before you started thinking small." | | 1 | "If it was to apologize," | | 2 | "If it was to see" | | 3 | "If you were, you wouldn't" |
| | ratio | 0.046 | |
| 64.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 7 | | matches | | 0 | "Silas stood behind the mahogany bar, polishing a highball glass with a rag that had seen better decades." | | 1 | "He didn’t stop his work, but his gaze sharpened, tracking her movement with the practiced scrutiny of a man who had spent his life evaluating threats." | | 2 | "He shifted his weight, favoring his left leg—a habit that had become as much a part of his silhouette as the grey-streaked ginger of his beard." | | 3 | "His voice was a low rasp, steady and devoid of the frantic energy that defined the streets outside." | | 4 | "She looked at Silas, who was watching her with an unblinking intensity, waiting to see if she would break or if she would strike." | | 5 | "Rory looked at her wrist, at the crescent scar that was the only remnant of the life she’d fled." | | 6 | "She signaled for another round, and as the ice clinked against the glass, the neon sign outside continued to hum, indifferent to the lives that had fractured an…" |
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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 | |