| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1145 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 65.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1145 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "echoing" | | 1 | "perfect" | | 2 | "scanning" | | 3 | "etched" | | 4 | "pulse" | | 5 | "variables" | | 6 | "measured" |
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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 | 90 | | matches | (empty) | |
| 63.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | 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 | 1139 | | ratio | 0 | | matches | (empty) | |
| 75.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 1 | | matches | | 0 | "Move back, Kowalski, Harlow said, her voice echoing sharply against the arched ceiling." |
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| 75.37% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1139 | | uniqueNames | 14 | | maxNameDensity | 1.49 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 2 | | Harlow | 17 | | Quinn | 2 | | Veil | 3 | | Market | 2 | | Victorian | 1 | | Kowalski | 2 | | Eva | 12 | | Tube | 1 | | Morris | 1 | | North-Northwest | 1 | | Compass | 1 | | Detective | 3 | | You | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Veil" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" | | 6 | "You" |
| | places | | 0 | "Market" | | 1 | "Victorian" | | 2 | "Detective" |
| | globalScore | 0.754 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1139 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 68.07% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 45.56 | | std | 17.69 | | cv | 0.388 | | sampleLengths | | 0 | 82 | | 1 | 47 | | 2 | 42 | | 3 | 20 | | 4 | 37 | | 5 | 13 | | 6 | 40 | | 7 | 31 | | 8 | 59 | | 9 | 33 | | 10 | 42 | | 11 | 56 | | 12 | 24 | | 13 | 48 | | 14 | 80 | | 15 | 56 | | 16 | 24 | | 17 | 57 | | 18 | 72 | | 19 | 36 | | 20 | 46 | | 21 | 31 | | 22 | 41 | | 23 | 53 | | 24 | 69 |
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| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 90 | | matches | | 0 | "was pulled" | | 1 | "was locked" | | 2 | "been told" | | 3 | "was connected" | | 4 | "were frozen" | | 5 | "was intercepted" | | 6 | "involved" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 198 | | matches | | 0 | "was kneeling" | | 1 | "was spinning" | | 2 | "was hammering" | | 3 | "was running" | | 4 | "was slowly beginning" | | 5 | "were following" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 90 | | ratio | 0.056 | | matches | | 0 | "She checked the leather watch on her left wrist—a habit born from a decade of field work." | | 1 | "Eva jumped, her hand twitching to tuck a stray ringlet behind her left ear—a nervous tic Harlow had noted in every single one of their encounters." | | 2 | "Her eyes tracked from the corpse to the objects scattered around it—vials of shimmering liquid, a shredded cloak of heavy felt, and finally, to the small brass compass in Eva’s palm." | | 3 | "She ran a gloved finger along the man’s lapel, finding a faint, iridescent powder clinging to the fibers—a substance she’d seen only once before, on the uniform of DS Morris three years ago." | | 4 | "She picked up the charred bone token—the key to the marketplace—and sealed it away." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1154 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.022530329289428077 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010398613518197574 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 12.66 | | std | 8.19 | | cv | 0.647 | | sampleLengths | | 0 | 28 | | 1 | 26 | | 2 | 28 | | 3 | 17 | | 4 | 6 | | 5 | 24 | | 6 | 7 | | 7 | 17 | | 8 | 18 | | 9 | 1 | | 10 | 19 | | 11 | 24 | | 12 | 13 | | 13 | 13 | | 14 | 26 | | 15 | 14 | | 16 | 16 | | 17 | 4 | | 18 | 4 | | 19 | 7 | | 20 | 16 | | 21 | 4 | | 22 | 31 | | 23 | 8 | | 24 | 19 | | 25 | 5 | | 26 | 6 | | 27 | 3 | | 28 | 11 | | 29 | 5 | | 30 | 4 | | 31 | 13 | | 32 | 9 | | 33 | 2 | | 34 | 23 | | 35 | 4 | | 36 | 3 | | 37 | 24 | | 38 | 8 | | 39 | 16 | | 40 | 12 | | 41 | 4 | | 42 | 28 | | 43 | 4 | | 44 | 4 | | 45 | 10 | | 46 | 33 | | 47 | 8 | | 48 | 25 | | 49 | 26 |
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| 45.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3333333333333333 | | totalSentences | 90 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 47.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 88 | | matches | | 0 | "She ignored the way the" | | 1 | "She checked the leather watch" | | 2 | "It was three in the" | | 3 | "She looked up, her round" | | 4 | "You shouldn't be here." | | 5 | "It isn't safe for someone" | | 6 | "I’m exactly the person who" | | 7 | "She ignored the warning." | | 8 | "Her eyes tracked from the" | | 9 | "It’s an open-and-shut case of" | | 10 | "It wasn’t a mugging, Harlow." | | 11 | "His skin was pulled tight" | | 12 | "He didn't die of a" | | 13 | "He tried to open a" | | 14 | "It’s alchemical, not criminal." | | 15 | "She saw only the cold" | | 16 | "She ran a gloved finger" | | 17 | "He’s facing North-Northwest, toward the" | | 18 | "He was running toward the" | | 19 | "She pointed to the man’s" |
| | ratio | 0.432 | |
| 56.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 88 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "She ignored the way the" | | 3 | "She checked the leather watch" | | 4 | "It was three in the" | | 5 | "The station was supposedly sealed," | | 6 | "This was where the city’s" | | 7 | "Eva Kowalski was kneeling beside" | | 8 | "Move back, Kowalski, Harlow said," | | 9 | "Eva jumped, her hand twitching" | | 10 | "She looked up, her round" | | 11 | "Detective Quinn, Eva stammered, scrambling" | | 12 | "You shouldn't be here." | | 13 | "The Veil shifts tonight." | | 14 | "It isn't safe for someone" | | 15 | "I’m exactly the person who" | | 16 | "She ignored the warning." | | 17 | "Her eyes tracked from the" | | 18 | "The needle was spinning with" | | 19 | "It’s an open-and-shut case of" |
| | ratio | 0.807 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 5 | | totalSentences | 88 | | matches | | 0 | "Even in its dormant, abandoned" | | 1 | "Even in the dead of" | | 2 | "If it were a ritual," | | 3 | "If you follow this trail," | | 4 | "If you’re involved in this," |
| | ratio | 0.057 | |
| 30.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 8 | | matches | | 0 | "The air in the abandoned Camden station tasted of iron, wet concrete, and the lingering, ozone-sharp tang of something that had no business existing in the mode…" | | 1 | "Detective Harlow Quinn stepped off the rusted service ladder, her boots crunching against a layer of debris that glittered unnaturally in the beam of her torch." | | 2 | "The station was supposedly sealed, yet the heavy steel bulkhead door stood ajar, its iron frame bent as if by an immense, localized pressure." | | 3 | "Even in its dormant, abandoned state, the place hummed with a low-frequency vibration that rattled Harlow’s teeth." | | 4 | "I’m exactly the person who belongs here, Harlow replied, her sharp jaw set as she approached." | | 5 | "She ran a gloved finger along the man’s lapel, finding a faint, iridescent powder clinging to the fibers—a substance she’d seen only once before, on the uniform…" | | 6 | "She looked at the abandoned station, the encroaching darkness, and the red-haired researcher who knew far more than a museum archivist should." | | 7 | "She simply walked, step by measured step, back toward the world above, her mind already mapping the path of a killer who thought they had found the perfect plac…" |
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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 | |