| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 52 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.063 | | effectiveRatio | 0.038 | |
| 78.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1421 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "suddenly" |
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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) | |
| 78.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1421 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulsed" | | 1 | "scanned" | | 2 | "electric" | | 3 | "tracing" | | 4 | "silence" | | 5 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 108 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 108 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 10 | | totalWords | 1409 | | ratio | 0.007 | | matches | | 0 | "Let’s make another." | | 1 | "never let them see the tremor" | | 2 | "me" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 884 | | uniqueNames | 14 | | maxNameDensity | 0.57 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | London | 2 | | Carter | 1 | | Europe | 1 | | Silas | 5 | | Agatha | 1 | | Christie | 1 | | National | 1 | | Silence | 1 | | Tower | 1 | | Bridge | 1 | | Aurora | 5 | | Evan | 4 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Silas" | | 3 | "Agatha" | | 4 | "Christie" | | 5 | "Silence" | | 6 | "Aurora" | | 7 | "Evan" |
| | places | | 0 | "London" | | 1 | "Europe" | | 2 | "Tower" | | 3 | "Bridge" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 3 | | matches | | 0 | "Older, obviously—his dark curls now" | | 1 | "looked like stones sunk in a riverbed" | | 2 | "as if reminding her: you’re still here" |
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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 | 1409 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 144 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 19.04 | | std | 19.37 | | cv | 1.018 | | sampleLengths | | 0 | 75 | | 1 | 84 | | 2 | 7 | | 3 | 58 | | 4 | 5 | | 5 | 14 | | 6 | 10 | | 7 | 32 | | 8 | 42 | | 9 | 38 | | 10 | 2 | | 11 | 2 | | 12 | 1 | | 13 | 1 | | 14 | 55 | | 15 | 4 | | 16 | 48 | | 17 | 9 | | 18 | 63 | | 19 | 6 | | 20 | 24 | | 21 | 11 | | 22 | 7 | | 23 | 16 | | 24 | 12 | | 25 | 8 | | 26 | 11 | | 27 | 6 | | 28 | 7 | | 29 | 45 | | 30 | 6 | | 31 | 5 | | 32 | 13 | | 33 | 34 | | 34 | 12 | | 35 | 4 | | 36 | 5 | | 37 | 18 | | 38 | 1 | | 39 | 13 | | 40 | 50 | | 41 | 10 | | 42 | 7 | | 43 | 16 | | 44 | 9 | | 45 | 3 | | 46 | 16 | | 47 | 66 | | 48 | 7 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 108 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 164 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 144 | | ratio | 0.069 | | matches | | 0 | "Jazz played low—a mournful saxophone lament from the 1940s—and shadows clung to the corners where the brass sconces couldn’t reach." | | 1 | "Her bright blue eyes scanned the room, not for danger—though habit made her check the exits—but for him." | | 2 | "The bartender—a freckled kid with a lip ring—nodded toward the back." | | 3 | "She turned toward the far wall lined with secondhand books—everything from 19th-century treatises on optics to dog-eared Agatha Christie paperbacks." | | 4 | "She knew the mechanism, knew it from years ago, when Silas taught her the codes, the signals, the way a simple gesture—fingers brushing a lapel, a coin left upside down on the bar—could mean a dozen different things, depending on the company." | | 5 | "Older, obviously—his dark curls now threaded with grey, his face sharper, hollowed by time and something heavier than age." | | 6 | "The way Silas had taught her—*never let them see the tremor*." | | 7 | "She looked younger than her years, but her posture said otherwise—coiled, watchful." | | 8 | "She laughed then—short, sharp." | | 9 | "And Aurora walked toward the exit, her shoulders straight, her breath even, the scar on her wrist a quiet pulse against the cold night air—as if reminding her: you’re still here." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 899 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 32 | | adverbRatio | 0.035595105672969966 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013348164627363738 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 9.78 | | std | 9.53 | | cv | 0.974 | | sampleLengths | | 0 | 26 | | 1 | 29 | | 2 | 20 | | 3 | 14 | | 4 | 16 | | 5 | 18 | | 6 | 23 | | 7 | 13 | | 8 | 7 | | 9 | 12 | | 10 | 4 | | 11 | 16 | | 12 | 26 | | 13 | 3 | | 14 | 2 | | 15 | 11 | | 16 | 3 | | 17 | 2 | | 18 | 2 | | 19 | 6 | | 20 | 20 | | 21 | 12 | | 22 | 42 | | 23 | 10 | | 24 | 9 | | 25 | 19 | | 26 | 2 | | 27 | 2 | | 28 | 1 | | 29 | 1 | | 30 | 9 | | 31 | 33 | | 32 | 13 | | 33 | 4 | | 34 | 4 | | 35 | 19 | | 36 | 3 | | 37 | 7 | | 38 | 6 | | 39 | 9 | | 40 | 3 | | 41 | 5 | | 42 | 1 | | 43 | 3 | | 44 | 19 | | 45 | 15 | | 46 | 12 | | 47 | 14 | | 48 | 6 | | 49 | 8 |
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| 54.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3541666666666667 | | totalSentences | 144 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 82 | | matches | | 0 | "Then later, he’d pressed a" | | 1 | "Then, from his pocket, he" | | 2 | "Somewhere inside, a glass clinked." |
| | ratio | 0.037 | |
| 63.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 82 | | matches | | 0 | "She looked tired, the kind" | | 1 | "Her bright blue eyes scanned" | | 2 | "She moved toward the bar," | | 3 | "She turned toward the far" | | 4 | "She knew the mechanism, knew" | | 5 | "She hadn’t thought of him" | | 6 | "He had been a ghost," | | 7 | "She had once thought them" | | 8 | "His voice was lower, smoother." | | 9 | "She didn’t move." | | 10 | "Her hand drifted unconsciously to" | | 11 | "Her voice was calm." | | 12 | "Her breath caught, but she" | | 13 | "He chuckled, just once." | | 14 | "He took a sip of" | | 15 | "She didn’t answer." | | 16 | "Her black hair fell straight," | | 17 | "She looked younger than her" | | 18 | "He leaned forward, elbows on" | | 19 | "she said quietly" |
| | ratio | 0.39 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 82 | | matches | | 0 | "The neon glow of the" | | 1 | "Jazz played low—a mournful saxophone" | | 2 | "Aurora Carter stood just inside" | | 3 | "She looked tired, the kind" | | 4 | "Her bright blue eyes scanned" | | 5 | "Silas usually sat near the" | | 6 | "She moved toward the bar," | | 7 | "The place hadn’t changed." | | 8 | "The bartender—a freckled kid with" | | 9 | "That wasn’t usual for public" | | 10 | "She turned toward the far" | | 11 | "She knew the mechanism, knew" | | 12 | "The hidden room was lit" | | 13 | "A fire crackled weakly in" | | 14 | "She hadn’t thought of him" | | 15 | "He had been a ghost," | | 16 | "the same cold grey, like" | | 17 | "She had once thought them" | | 18 | "His voice was lower, smoother." | | 19 | "She didn’t move." |
| | ratio | 0.695 | |
| 60.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 82 | | matches | | 0 | "Now they looked like stones" |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 2 | | matches | | 0 | "Eight months ago, she’d been crossing Tower Bridge on her scooter, delivering shrimp dumplings to a lawyer’s office, all while avoiding the man whose face still…" | | 1 | "And Aurora walked toward the exit, her shoulders straight, her breath even, the scar on her wrist a quiet pulse against the cold night air—as if reminding her: …" |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.288 | | leniency | 0.577 | | rawRatio | 0 | | effectiveRatio | 0 | |