| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1792 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "really" | | 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) | |
| 41.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1792 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "tracing" | | 2 | "etched" | | 3 | "warmth" | | 4 | "scanned" | | 5 | "effortless" | | 6 | "throb" | | 7 | "perfect" | | 8 | "weight" | | 9 | "silence" | | 10 | "familiar" | | 11 | "flickered" | | 12 | "velvet" | | 13 | "solitary" | | 14 | "reminder" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | 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 | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1790 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 74 | | wordCount | 1344 | | uniqueNames | 16 | | maxNameDensity | 1.64 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 3 | | Nest | 4 | | Silas | 18 | | Soho | 3 | | Aurora | 22 | | Cardiff | 3 | | Vance | 1 | | Golden | 1 | | Empress | 1 | | South | 1 | | London | 1 | | Camille | 12 | | Old | 1 | | Bailey | 1 | | Eastern | 1 | | Europe | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Aurora" | | 4 | "Vance" | | 5 | "Camille" | | 6 | "Old" | | 7 | "Bailey" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "Golden" | | 3 | "South" | | 4 | "London" | | 5 | "Eastern" | | 6 | "Europe" |
| | globalScore | 0.682 | | windowScore | 0.333 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like it cost more than Aurora’s fl" | | 1 | "felt like a slap" | | 2 | "felt like a fever dream now, thin and t" |
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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 | 1790 | | 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 | 67 | | mean | 26.72 | | std | 19.66 | | cv | 0.736 | | sampleLengths | | 0 | 90 | | 1 | 45 | | 2 | 75 | | 3 | 11 | | 4 | 3 | | 5 | 47 | | 6 | 1 | | 7 | 50 | | 8 | 17 | | 9 | 44 | | 10 | 5 | | 11 | 9 | | 12 | 10 | | 13 | 11 | | 14 | 33 | | 15 | 21 | | 16 | 9 | | 17 | 32 | | 18 | 25 | | 19 | 20 | | 20 | 59 | | 21 | 20 | | 22 | 35 | | 23 | 3 | | 24 | 25 | | 25 | 29 | | 26 | 11 | | 27 | 42 | | 28 | 24 | | 29 | 31 | | 30 | 3 | | 31 | 21 | | 32 | 19 | | 33 | 46 | | 34 | 34 | | 35 | 15 | | 36 | 48 | | 37 | 39 | | 38 | 37 | | 39 | 20 | | 40 | 32 | | 41 | 3 | | 42 | 3 | | 43 | 28 | | 44 | 26 | | 45 | 20 | | 46 | 27 | | 47 | 45 | | 48 | 13 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 220 | | matches | | 0 | "was doing" | | 1 | "was still looking" |
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| 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 | "She recognized the voice—a clipped, polished accent that belonged to lecture halls in Cardiff and garden parties she’d spent a lifetime trying to forget." | | 1 | "The silence between them stretched, filled with the ghosts of the people they’d been in Cardiff—two girls who shared notes and dreamed of the Old Bailey." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1351 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 34 | | adverbRatio | 0.025166543301258327 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.009622501850481125 | |
| 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 | 13.77 | | std | 8.06 | | cv | 0.585 | | sampleLengths | | 0 | 27 | | 1 | 23 | | 2 | 24 | | 3 | 16 | | 4 | 19 | | 5 | 12 | | 6 | 14 | | 7 | 6 | | 8 | 17 | | 9 | 15 | | 10 | 15 | | 11 | 22 | | 12 | 3 | | 13 | 8 | | 14 | 3 | | 15 | 5 | | 16 | 24 | | 17 | 18 | | 18 | 1 | | 19 | 17 | | 20 | 9 | | 21 | 24 | | 22 | 17 | | 23 | 16 | | 24 | 28 | | 25 | 5 | | 26 | 6 | | 27 | 3 | | 28 | 10 | | 29 | 11 | | 30 | 33 | | 31 | 8 | | 32 | 13 | | 33 | 9 | | 34 | 32 | | 35 | 7 | | 36 | 18 | | 37 | 20 | | 38 | 6 | | 39 | 23 | | 40 | 8 | | 41 | 22 | | 42 | 20 | | 43 | 7 | | 44 | 10 | | 45 | 13 | | 46 | 5 | | 47 | 3 | | 48 | 12 | | 49 | 13 |
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| 36.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.2153846153846154 | | totalSentences | 130 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 42.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 99 | | matches | | 0 | "He wiped a highball glass," | | 1 | "Her black hair fell forward," | | 2 | "She watched the condensation crawl" | | 3 | "She wore a tailored camel-hair" | | 4 | "Her eyes scanned the room," | | 5 | "Her leather heels clicked toward" | | 6 | "She recognized the voice—a clipped," | | 7 | "She tucked a strand of" | | 8 | "She smelled of bergamot and" | | 9 | "She took in Aurora’s oversized" | | 10 | "He didn't smile." | | 11 | "She reached out, her hand" | | 12 | "She looked at Camille, really" | | 13 | "He lingered, his hand resting" | | 14 | "He caught her eye, a" | | 15 | "Her expression shifted from surprise" | | 16 | "She felt the weight of" | | 17 | "He watched them through the" | | 18 | "He knew the look on" | | 19 | "It was the look of" |
| | ratio | 0.444 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 99 | | matches | | 0 | "Rain lashed against the windows" | | 1 | "Silas moved behind the counter" | | 2 | "He wiped a highball glass," | | 3 | "Aurora sat on the end" | | 4 | "Her black hair fell forward," | | 5 | "She watched the condensation crawl" | | 6 | "The door groaned on its" | | 7 | "A gust of wet Soho" | | 8 | "A woman stepped in, shaking" | | 9 | "She wore a tailored camel-hair" | | 10 | "Her eyes scanned the room," | | 11 | "The newcomer froze." | | 12 | "Her leather heels clicked toward" | | 13 | "Aurora didn't look up immediately." | | 14 | "She recognized the voice—a clipped," | | 15 | "She tucked a strand of" | | 16 | "Camille Vance slid onto the" | | 17 | "She smelled of bergamot and" | | 18 | "She took in Aurora’s oversized" | | 19 | "Camille glanced at the black-and-white" |
| | ratio | 0.97 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 9 | | matches | | 0 | "Rain lashed against the windows of the Raven’s Nest, a rhythmic drumming that competed with the low hum of the green neon sign humming over the door." | | 1 | "Her black hair fell forward, a dark curtain that veiled her profile." | | 2 | "Camille glanced at the black-and-white photographs of forgotten spies and empty streets that lined the walls." | | 3 | "Silas approached them, his hazel eyes sharp, assessing the newcomer with the cold precision of a man who’d spent decades reading threats in the tilt of a should…" | | 4 | "Camille’s skin was perfect, her eyes bright with the uncomplicated ambition of someone who had never had to run for her life." | | 5 | "Aurora leaned in, the neon light from the window catching the blue of her eyes, making them look like cracked ice." | | 6 | "Silas paused, his gaze drifting to the maps on the wall, his eyes lingering on a corner of Eastern Europe that had been redrawn a dozen times since he’d last wa…" | | 7 | "Silas was still there, a solitary figure in the dim light, polishing a glass that was already clean." | | 8 | "She climbed the stairs, her hand trailing on the banister, leaving the bergamot and the pity behind in the dark." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas said, his voice dropping an octave" | | 1 | "Aurora whispered, her voice barely audible over the rain" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.167 | | effectiveRatio | 0.059 | |