| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 5 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she said flatly [flatly]" | | 2 | "he said carefully [carefully]" | | 3 | "she admitted quietly [quietly]" | | 4 | "he said simply [simply]" |
| | dialogueSentences | 34 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.294 | | effectiveRatio | 0.294 | |
| 76.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1078 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "really" | | 3 | "carefully" |
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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) | |
| 62.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1078 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "chill" | | 1 | "eyebrow" | | 2 | "silence" | | 3 | "unspoken" | | 4 | "weight" | | 5 | "familiar" | | 6 | "pulsed" | | 7 | "tension" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1066 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 756 | | uniqueNames | 15 | | maxNameDensity | 1.06 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 2 | | London | 1 | | Carter | 2 | | Golden | 1 | | Empress | 1 | | Blackwood | 1 | | Cardiff | 1 | | Silas | 8 | | Rory | 1 | | Aurora | 3 | | Malphora | 1 | | Brendan | 1 | | Evan | 1 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Empress" | | 4 | "Blackwood" | | 5 | "Silas" | | 6 | "Rory" | | 7 | "Aurora" | | 8 | "Brendan" | | 9 | "Evan" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Soho" |
| | globalScore | 0.971 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 2 | | matches | | 0 | "as if tasting time itself" | | 1 | "not quite her real one" |
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| 12.38% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.876 | | wordCount | 1066 | | matches | | 0 | "Not glamorous, but it pays for rent" | | 1 | "Not cruel, but final" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 35.53 | | std | 26.92 | | cv | 0.758 | | sampleLengths | | 0 | 117 | | 1 | 75 | | 2 | 25 | | 3 | 53 | | 4 | 67 | | 5 | 18 | | 6 | 7 | | 7 | 82 | | 8 | 68 | | 9 | 14 | | 10 | 23 | | 11 | 69 | | 12 | 40 | | 13 | 9 | | 14 | 6 | | 15 | 39 | | 16 | 25 | | 17 | 8 | | 18 | 48 | | 19 | 9 | | 20 | 36 | | 21 | 26 | | 22 | 15 | | 23 | 38 | | 24 | 39 | | 25 | 9 | | 26 | 9 | | 27 | 47 | | 28 | 10 | | 29 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 128 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 88 | | ratio | 0.102 | | matches | | 0 | "The Raven's Nest hummed with an easy kind of noise—laughing couples tucked into dim corners, the clink of glasses, jazz curling out of a hidden speaker in the back." | | 1 | "Yu-Fei’s Golden Empress had given her more than delivery routes—it had given her a rhythm, a quiet purpose that settled into her bones." | | 2 | "There was a way about her—always had been—like she carried her thoughts in pockets she didn’t empty unless necessary." | | 3 | "“I retired from the habit, not the feeling.” He looked up then, really looked at her—her bright blue eyes steady beneath the haze of incandescent lights, the scar on her wrist a thin crescent moon against the skin, barely discernible unless you knew to look." | | 4 | "A friend of her mother’s had mentioned a name—Malphora, some ridiculous nickname or alias—or perhaps it wasn’t a lie this time." | | 5 | "“Deliver food. Earn me dinner, give someone else theirs.” Her voice was matter-of-fact, no embellishment, but there was a sharpness in it—an edginess that hadn’t been present all those years ago when they’d drunk rum out of paper cups under the stars at university." | | 6 | "This was how the world used to be, once—quiet, private." | | 7 | "He had seen it many times—the hollows that formed when someone tried too hard to become unbreakable." | | 8 | "The tension between who they were and who they’d become had grown like vines over years—unwelcome, but undeniable in their presence." |
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| 90.22% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 508 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.051181102362204724 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.011811023622047244 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 12.11 | | std | 9.01 | | cv | 0.744 | | sampleLengths | | 0 | 29 | | 1 | 23 | | 2 | 18 | | 3 | 24 | | 4 | 23 | | 5 | 23 | | 6 | 16 | | 7 | 9 | | 8 | 19 | | 9 | 8 | | 10 | 8 | | 11 | 4 | | 12 | 2 | | 13 | 11 | | 14 | 6 | | 15 | 7 | | 16 | 9 | | 17 | 31 | | 18 | 12 | | 19 | 45 | | 20 | 10 | | 21 | 7 | | 22 | 11 | | 23 | 2 | | 24 | 5 | | 25 | 10 | | 26 | 33 | | 27 | 5 | | 28 | 5 | | 29 | 21 | | 30 | 8 | | 31 | 9 | | 32 | 44 | | 33 | 15 | | 34 | 6 | | 35 | 8 | | 36 | 9 | | 37 | 6 | | 38 | 8 | | 39 | 8 | | 40 | 4 | | 41 | 16 | | 42 | 17 | | 43 | 10 | | 44 | 10 | | 45 | 4 | | 46 | 26 | | 47 | 14 | | 48 | 5 | | 49 | 4 |
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| 79.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 88 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 61 | | matches | | 0 | "Once upon a time, Aurora" | | 1 | "Maybe she *had* changed into" | | 2 | "Instead, he poured two small" |
| | ratio | 0.049 | |
| 75.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 61 | | matches | | 0 | "She wore a faded coat" | | 1 | "His signet ring caught the" | | 2 | "He saw her before someone" | | 3 | "She blinked slowly as if" | | 4 | "It wasn’t a taunt." | | 5 | "She shrugged, sliding off the" | | 6 | "she replied in return" | | 7 | "He looked up then, really" | | 8 | "They shared a look that" | | 9 | "He’d heard whispers, of course." | | 10 | "she said finally" | | 11 | "Her voice was matter-of-fact, no" | | 12 | "She didn’t flinch at the" | | 13 | "she said flatly" | | 14 | "He reached around the bar," | | 15 | "he said carefully, sitting opposite" | | 16 | "She smiled faintly." | | 17 | "She studied the floorboards, the" | | 18 | "she admitted quietly" | | 19 | "He had seen it many" |
| | ratio | 0.361 | |
| 91.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 61 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "The bar was always just" | | 2 | "Aurora Carter leaned against the" | | 3 | "She wore a faded coat" | | 4 | "Yu-Fei’s Golden Empress had given" | | 5 | "Silas Blackwood stood behind the" | | 6 | "His signet ring caught the" | | 7 | "He saw her before someone" | | 8 | "She blinked slowly as if" | | 9 | "Silas said, though not unkindly" | | 10 | "It wasn’t a taunt." | | 11 | "The truth, sometimes, was a" | | 12 | "She shrugged, sliding off the" | | 13 | "she replied in return" | | 14 | "A small smile, but not" | | 15 | "That one had been buried" | | 16 | "Silas murmured, wiping a clean" | | 17 | "He looked up then, really" | | 18 | "Rory tilted her head, considering" | | 19 | "They shared a look that" |
| | ratio | 0.738 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 61 | | matches | | 0 | "Now she was something different." | | 1 | "Before everything got loud." |
| | ratio | 0.033 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "Yu-Fei’s Golden Empress had given her more than delivery routes—it had given her a rhythm, a quiet purpose that settled into her bones." | | 1 | "Once upon a time, Aurora had been the girl who sat by candlelight with him in The Nest’s secret room, poring over old maps and pretending to understand politics…" | | 2 | "He had seen it many times—the hollows that formed when someone tried too hard to become unbreakable." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 61.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 3 | | fancyTags | | 0 | "Silas murmured (murmur)" | | 1 | "she corrected (correct)" | | 2 | "she admitted quietly (admit)" |
| | dialogueSentences | 34 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.214 | | effectiveRatio | 0.176 | |