| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1086 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 72.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1086 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | | 2 | | word | "calloused fingers" | | count | 1 |
| | 3 | | | 4 | |
| | highlights | | 0 | "flicked" | | 1 | "wavering" | | 2 | "calloused fingers" | | 3 | "etched" | | 4 | "scanning" |
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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 | 84 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1074 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1074 | | uniqueNames | 18 | | maxNameDensity | 1.12 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Veil | 2 | | Market | 1 | | Eva | 3 | | Kowalski | 1 | | Harlow | 12 | | Morris | 4 | | British | 1 | | Museum | 1 | | Magiae | 1 | | Naturalis | 1 | | Met | 1 | | Compass | 1 | | Shade | 3 | | Kael | 2 | | Cornwall | 1 | | London | 1 | | Quinn | 1 |
| | persons | | 0 | "Market" | | 1 | "Eva" | | 2 | "Kowalski" | | 3 | "Harlow" | | 4 | "Morris" | | 5 | "Museum" | | 6 | "Compass" | | 7 | "Kael" | | 8 | "Quinn" |
| | places | | 0 | "British" | | 1 | "Met" | | 2 | "Cornwall" | | 3 | "London" |
| | globalScore | 0.941 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "something like burnt pine" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1074 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 67.13 | | std | 39.02 | | cv | 0.581 | | sampleLengths | | 0 | 129 | | 1 | 59 | | 2 | 107 | | 3 | 28 | | 4 | 57 | | 5 | 40 | | 6 | 122 | | 7 | 72 | | 8 | 155 | | 9 | 55 | | 10 | 34 | | 11 | 40 | | 12 | 21 | | 13 | 70 | | 14 | 28 | | 15 | 57 |
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| 88.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 84 | | matches | | 0 | "been called" | | 1 | "was checked" | | 2 | "being picked" | | 3 | "was attuned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 183 | | matches | | 0 | "was investigating" | | 1 | "was making" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 84 | | ratio | 0.119 | | matches | | 0 | "She’d only ever heard whispers of this place—The Veil Market, a hidden supernatural black market that shifted locations every full moon." | | 1 | "She flicked her torch on, the beam cutting through the dimness to catch streaks of faded graffiti—skulls, crescent moons, arcane sigils—before settling on the overturned stall a dozen feet away." | | 2 | "She twisted a strand of hair behind her left ear—her nervous habit, Harlow remembered from the handful of times they’d met at Morris’s memorial gatherings." | | 3 | "A worn leather satchel bulging with books— the kind she hauled back from the British Museum’s restricted archives—slung over one shoulder." | | 4 | "I tracked the last sale here—this vendor was the one who made it, per the archival logs." | | 5 | "The man—ash-gray skin, sunken pupil-less eyes, calloused fingers crusted with metal shavings—had a ragged gash across his throat, dark blood crusted around the edges." | | 6 | "The sigils on the face—exactly what the archives have on file." | | 7 | "She’d initially written the scene off as a mugging gone wrong—rival vendors fighting over territory, or a customer who’d tried to steal something." | | 8 | "That’s why the market shifts every full moon—they’re moving to stay ahead of the rift’s pull." | | 9 | "Behind it, a narrow crack glowed with faint, iridescent blue light— the telltale sign of a supernatural rift." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1087 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02391904323827047 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00827966881324747 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 12.79 | | std | 8.21 | | cv | 0.642 | | sampleLengths | | 0 | 33 | | 1 | 30 | | 2 | 21 | | 3 | 25 | | 4 | 20 | | 5 | 30 | | 6 | 17 | | 7 | 4 | | 8 | 8 | | 9 | 12 | | 10 | 20 | | 11 | 25 | | 12 | 21 | | 13 | 5 | | 14 | 6 | | 15 | 6 | | 16 | 12 | | 17 | 18 | | 18 | 5 | | 19 | 5 | | 20 | 4 | | 21 | 2 | | 22 | 27 | | 23 | 22 | | 24 | 2 | | 25 | 3 | | 26 | 20 | | 27 | 17 | | 28 | 13 | | 29 | 24 | | 30 | 37 | | 31 | 11 | | 32 | 6 | | 33 | 21 | | 34 | 2 | | 35 | 8 | | 36 | 2 | | 37 | 7 | | 38 | 11 | | 39 | 17 | | 40 | 9 | | 41 | 5 | | 42 | 4 | | 43 | 7 | | 44 | 10 | | 45 | 13 | | 46 | 26 | | 47 | 15 | | 48 | 23 | | 49 | 27 |
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| 70.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4523809523809524 | | totalSentences | 84 | | uniqueOpeners | 38 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Then the needle’s not pointing" |
| | ratio | 0.013 | |
| 93.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 79 | | matches | | 0 | "She’d only ever heard whispers" | | 1 | "She’d been called here forty" | | 2 | "She flicked her torch on," | | 3 | "I didn’t move anything." | | 4 | "She twisted a strand of" | | 5 | "I bartered a first edition" | | 6 | "I wasn’t here to sell." | | 7 | "I’m researching a stolen artifact." | | 8 | "She’d spent the last six" | | 9 | "She set her torch down" | | 10 | "It was checked out of" | | 11 | "I tracked the last sale" | | 12 | "She picked up the compass," | | 13 | "It pointed toward the far" | | 14 | "she said, the metal cool" | | 15 | "She nodded at the gash" | | 16 | "She’d initially written the scene" | | 17 | "You said the attacker couldn’t" | | 18 | "We swept the tunnel back" | | 19 | "It’s pointing to a rift." |
| | ratio | 0.316 | |
| 80.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 79 | | matches | | 0 | "Harlow’s boots scraped the cracked" | | 1 | "The air hit her first:" | | 2 | "She’d only ever heard whispers" | | 3 | "Tonight was a full moon," | | 4 | "She’d been called here forty" | | 5 | "She flicked her torch on," | | 6 | "A single fairy light sputtered" | | 7 | "I didn’t move anything." | | 8 | "Harlow turned, her torch beam" | | 9 | "Eva leaned against a rusted" | | 10 | "She twisted a strand of" | | 11 | "A worn leather satchel bulging" | | 12 | "Harlow said, not lowering the" | | 13 | "The entrance requires a bone" | | 14 | "I bartered a first edition" | | 15 | "I wasn’t here to sell." | | 16 | "I’m researching a stolen artifact." | | 17 | "Harlow’s sharp jaw tightened." | | 18 | "She’d spent the last six" | | 19 | "She set her torch down" |
| | ratio | 0.759 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 79 | | matches | | 0 | "If he was after the" | | 1 | "Now they’re going to go" |
| | ratio | 0.025 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "She’d only ever heard whispers of this place—The Veil Market, a hidden supernatural black market that shifted locations every full moon." | | 1 | "It pointed toward the far end of the platform, toward the dark tunnel mouth that led to the abandoned rift tracks." | | 2 | "She’d initially written the scene off as a mugging gone wrong—rival vendors fighting over territory, or a customer who’d tried to steal something." |
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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 | |