| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva replied softly [softly]" |
| | dialogueSentences | 35 | | tagDensity | 0.486 | | leniency | 0.971 | | rawRatio | 0.059 | | effectiveRatio | 0.057 | |
| 89.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1412 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "truly" | | 1 | "slightly" | | 2 | "softly" |
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| 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) | |
| 50.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1412 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "constructed" | | 2 | "velvet" | | 3 | "pulsed" | | 4 | "mosaic" | | 5 | "crystal" | | 6 | "scanning" | | 7 | "intensity" | | 8 | "etched" | | 9 | "could feel" | | 10 | "flicker" | | 11 | "weight" |
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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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1406 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 975 | | uniqueNames | 12 | | maxNameDensity | 2.46 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Quinn | 24 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Police | 1 | | Miller | 8 | | Earth | 1 | | Kowalski | 1 | | Eva | 7 | | Morris | 3 |
| | persons | | 0 | "Camden" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Police" | | 4 | "Miller" | | 5 | "Kowalski" | | 6 | "Eva" | | 7 | "Morris" |
| | places | (empty) | | globalScore | 0.269 | | windowScore | 0 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "jewelry that seemed to shift shape when viewed in the periphery" | | 1 | "looked like he wanted to be anywhere else" |
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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 | 1406 | | matches | (empty) | |
| 97.22% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 96 | | matches | | 0 | "was that the" | | 1 | "knew that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 35.15 | | std | 22.86 | | cv | 0.65 | | sampleLengths | | 0 | 86 | | 1 | 72 | | 2 | 19 | | 3 | 48 | | 4 | 27 | | 5 | 69 | | 6 | 59 | | 7 | 23 | | 8 | 21 | | 9 | 11 | | 10 | 19 | | 11 | 44 | | 12 | 9 | | 13 | 87 | | 14 | 5 | | 15 | 2 | | 16 | 45 | | 17 | 44 | | 18 | 6 | | 19 | 16 | | 20 | 19 | | 21 | 75 | | 22 | 10 | | 23 | 33 | | 24 | 20 | | 25 | 37 | | 26 | 39 | | 27 | 17 | | 28 | 56 | | 29 | 54 | | 30 | 33 | | 31 | 17 | | 32 | 6 | | 33 | 45 | | 34 | 41 | | 35 | 43 | | 36 | 32 | | 37 | 9 | | 38 | 48 | | 39 | 60 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 78 | | matches | | 0 | "been opened" | | 1 | "was etched" |
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| 34.37% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 161 | | matches | | 0 | "was, clutching" | | 1 | "wasn't pointing" | | 2 | "was spinning" | | 3 | "was standing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 4 | | flaggedSentences | 8 | | totalSentences | 96 | | ratio | 0.083 | | matches | | 0 | "The Veil Market didn't appear on any official Metropolitan Police map, yet here she was, clutching a bleached piece of human knuckle—the bone token required for entry—as if it were a piece of evidence in a forensic bag." | | 1 | "He had been a merchant, judging by the remnants of a stall nearby—shards of crystal phials and spilled powders that smelled of cinnamon and burnt hair." | | 2 | "The blood didn't soak into the porous concrete; it beaded up, shimmering with a metallic, iridescent sheen." | | 3 | "She only knew it from the reports she'd been compiling on the clique—the group of occultists she suspected of running a criminal enterprise under the guise of academic research." | | 4 | "\"It points to rifts. If it's spinning, it means the rift is still open, but it's unstable. The 'cut' on his throat isn't a wound from a blade; it's where the fabric of the world folded in on itself. He was caught in the seam.\"" | | 5 | "The official report had called it a freak accident—a structural collapse during a raid." | | 6 | "The evidence didn't add up to a murder; it added up to a phenomenon." | | 7 | "She didn't care about illusions; she cared about the truth, and the truth was that the people in this market operated outside the law." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 981 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.023445463812436288 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.0163098878695209 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 14.65 | | std | 9.62 | | cv | 0.657 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 16 | | 3 | 38 | | 4 | 10 | | 5 | 38 | | 6 | 24 | | 7 | 19 | | 8 | 12 | | 9 | 16 | | 10 | 15 | | 11 | 5 | | 12 | 4 | | 13 | 10 | | 14 | 4 | | 15 | 9 | | 16 | 10 | | 17 | 26 | | 18 | 20 | | 19 | 13 | | 20 | 13 | | 21 | 46 | | 22 | 14 | | 23 | 9 | | 24 | 14 | | 25 | 7 | | 26 | 3 | | 27 | 8 | | 28 | 5 | | 29 | 14 | | 30 | 2 | | 31 | 25 | | 32 | 17 | | 33 | 9 | | 34 | 7 | | 35 | 17 | | 36 | 14 | | 37 | 16 | | 38 | 15 | | 39 | 18 | | 40 | 5 | | 41 | 2 | | 42 | 16 | | 43 | 29 | | 44 | 8 | | 45 | 18 | | 46 | 4 | | 47 | 14 | | 48 | 6 | | 49 | 2 |
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| 51.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3645833333333333 | | totalSentences | 96 | | uniqueOpeners | 35 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Only a clean, diagonal tear" |
| | ratio | 0.014 | |
| 65.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 70 | | matches | | 0 | "She didn't like the underground," | | 1 | "She ignored them, her gaze" | | 2 | "He was pale, his tie" | | 3 | "She checked the worn leather" | | 4 | "She stepped under the tape," | | 5 | "He had been a merchant," | | 6 | "He was a man in" | | 7 | "His throat had been opened" | | 8 | "She didn't believe in She" | | 9 | "she said, her voice a" | | 10 | "She noticed something tucked into" | | 11 | "She reached in with a" | | 12 | "It was a compass, but" | | 13 | "It was spinning in a" | | 14 | "she replied, though she didn't" | | 15 | "She only knew it from" | | 16 | "She stood up and looked" | | 17 | "They weren't random leaks." | | 18 | "They were symmetrical, forming a" | | 19 | "Her eyes caught a flicker" |
| | ratio | 0.386 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 70 | | matches | | 0 | "The air in the abandoned" | | 1 | "Harlow Quinn stepped off the" | | 2 | "She didn't like the underground," | | 3 | "The Veil Market didn't appear" | | 4 | "Stalls constructed from salvaged railway" | | 5 | "The vendors were a motley" | | 6 | "She ignored them, her gaze" | | 7 | "DC Miller said, stepping out" | | 8 | "Miller was young, eager, and" | | 9 | "He was pale, his tie" | | 10 | "Quinn didn't answer immediately." | | 11 | "She checked the worn leather" | | 12 | "She stepped under the tape," | | 13 | "The victim lay sprawled across" | | 14 | "He had been a merchant," | | 15 | "He was a man in" | | 16 | "His throat had been opened" | | 17 | "Miller said, gesturing vaguely to" | | 18 | "Quinn knelt beside the body," | | 19 | "She didn't believe in She" |
| | ratio | 0.914 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "The Veil Market didn't appear on any official Metropolitan Police map, yet here she was, clutching a bleached piece of human knuckle—the bone token required for…" | | 1 | "Stalls constructed from salvaged railway sleepers and velvet drapes lined the tunnels, selling vials of shimmering mercury, scrolls of vellum that pulsed with a…" | | 2 | "She ignored them, her gaze fixed on the yellow police tape fluttering in a draft that shouldn't have existed." | | 3 | "A pool of blood had formed around the man's head and shoulders, but it was oddly contained, as if it had hit an invisible wall." | | 4 | "She was small, with a mane of curly red hair and round glasses that caught the flickering light of the market’s lanterns." |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice a low, raspy cadence" | | 1 | "Eva said, her voice trembling slightly but possessing a scholarly cadence" | | 2 | "Quinn said, her voice cold" | | 3 | "Quinn said, her voice dropping an octave" |
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| 35.71% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn observed (observe)" | | 1 | "Miller suggested (suggest)" | | 2 | "Quinn murmured (murmur)" | | 3 | "Quinn stated (state)" |
| | dialogueSentences | 35 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.286 | | effectiveRatio | 0.229 | |