| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 87.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1173 | | totalAiIsmAdverbs | 3 | | 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) | |
| 23.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1173 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "effortless" | | 1 | "navigated" | | 2 | "calculated" | | 3 | "silence" | | 4 | "whisper" | | 5 | "standard" | | 6 | "scanning" | | 7 | "etched" | | 8 | "wavering" | | 9 | "gloom" | | 10 | "scanned" | | 11 | "navigating" | | 12 | "weight" | | 13 | "magnetic" | | 14 | "echoed" | | 15 | "familiar" |
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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) | |
| 15.87% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 6 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "seem to" | | 2 | "try to" | | 3 | "tried 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1171 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 5 | | matches | | 0 | "He was holding something when he died, Quinn murmured, her clinical detachment wavering." | | 1 | "A Veil Compass, Eva whispered, her breath catching in her throat." | | 2 | "You seem to know a lot about this, Kowalski, Quinn said, her voice dropping." | | 3 | "I study the history that the archives try to bury, Eva said, her nervous habit returning as she tucked her hair behind h…" | | 4 | "If he was trying to break in, then someone was guarding it, Quinn said, her mind cataloging the lack of forced entry, th…" |
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| 77.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1171 | | uniqueNames | 15 | | maxNameDensity | 1.45 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Harlow | 3 | | Quinn | 17 | | Forensics | 1 | | Eva | 10 | | Kowalski | 3 | | Veil | 3 | | Market | 2 | | Metropolitan | 1 | | Police | 1 | | Compass | 2 | | Morris | 2 | | City | 1 | | You | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Morris" | | 5 | "You" |
| | places | | | globalScore | 0.774 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 6 | | matches | | 0 | "tasted like pulverized concrete and wet i" | | 1 | "as if protecting something fragile inside" | | 2 | "quite mask" | | 3 | "looked like cauterization" | | 4 | "sigils that seemed to squirm when viewed through the narrow beam of her torch" | | 5 | "looked like a statue abandoned in mid-tho" |
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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 | 1171 | | matches | (empty) | |
| 92.59% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 90 | | matches | | 0 | "felt that weight" | | 1 | "filled that room" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 45.04 | | std | 25.42 | | cv | 0.565 | | sampleLengths | | 0 | 70 | | 1 | 11 | | 2 | 104 | | 3 | 20 | | 4 | 14 | | 5 | 29 | | 6 | 17 | | 7 | 51 | | 8 | 68 | | 9 | 38 | | 10 | 35 | | 11 | 76 | | 12 | 13 | | 13 | 18 | | 14 | 82 | | 15 | 30 | | 16 | 85 | | 17 | 37 | | 18 | 57 | | 19 | 35 | | 20 | 69 | | 21 | 27 | | 22 | 38 | | 23 | 53 | | 24 | 25 | | 25 | 69 |
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| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 90 | | matches | | 0 | "was huddled" | | 1 | "were fixed" | | 2 | "been altered" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 9 | | totalVerbs | 211 | | matches | | 0 | "was holding" | | 1 | "was navigating" | | 2 | "was looking" | | 3 | "was spinning" | | 4 | "was trying" | | 5 | "wasn't pointing" | | 6 | "was trying" | | 7 | "was guarding" | | 8 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 4 | | flaggedSentences | 6 | | totalSentences | 90 | | ratio | 0.067 | | matches | | 0 | "She checked the worn leather watch on her left wrist—03:14 AM." | | 1 | "She didn't announce her arrival; she preferred the silence." | | 2 | "He wasn't lost; he was looking for a way out." | | 3 | "The needle of the compass wasn't pointing north; it was spinning, a frantic, jittery motion that suggested it was trying to find a magnetic pull from a world that didn't exist in the City’s official maps." | | 4 | "The shadows along the tunnel wall didn't move with the light; they seemed to deepen, detaching themselves from the concrete." | | 5 | "She held the brass compass in her left hand, the needle suddenly snapping into a fixed position—pointing directly behind her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1176 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.023809523809523808 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.00935374149659864 | |
| 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 | 13.01 | | std | 8.41 | | cv | 0.646 | | sampleLengths | | 0 | 27 | | 1 | 21 | | 2 | 22 | | 3 | 11 | | 4 | 7 | | 5 | 17 | | 6 | 5 | | 7 | 28 | | 8 | 21 | | 9 | 26 | | 10 | 11 | | 11 | 9 | | 12 | 14 | | 13 | 15 | | 14 | 5 | | 15 | 3 | | 16 | 6 | | 17 | 6 | | 18 | 9 | | 19 | 2 | | 20 | 19 | | 21 | 6 | | 22 | 8 | | 23 | 5 | | 24 | 13 | | 25 | 9 | | 26 | 31 | | 27 | 28 | | 28 | 19 | | 29 | 2 | | 30 | 17 | | 31 | 8 | | 32 | 15 | | 33 | 7 | | 34 | 5 | | 35 | 8 | | 36 | 9 | | 37 | 8 | | 38 | 19 | | 39 | 14 | | 40 | 3 | | 41 | 15 | | 42 | 13 | | 43 | 9 | | 44 | 2 | | 45 | 7 | | 46 | 10 | | 47 | 7 | | 48 | 13 | | 49 | 12 |
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| 44.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3333333333333333 | | totalSentences | 90 | | uniqueOpeners | 30 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | | ratio | 0.011 | |
| 45.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 87 | | matches | | 0 | "She checked the worn leather" | | 1 | "She turned her gaze toward" | | 2 | "She was huddled into a" | | 3 | "Her green eyes were fixed" | | 4 | "She didn't announce her arrival;" | | 5 | "You shouldn't be down here." | | 6 | "it’s not what it looks" | | 7 | "I decide what a crime" | | 8 | "It’s not just a station." | | 9 | "It’s a transit point for" | | 10 | "It was a man, mid-forties," | | 11 | "Her glasses slid down her" | | 12 | "She knelt, her knees hitting" | | 13 | "She took the man’s right" | | 14 | "It was ice cold, stiffening" | | 15 | "It wasn't ink." | | 16 | "He was holding something when" | | 17 | "She scanned the floor around" | | 18 | "She reached down, her gloved" | | 19 | "She pulled it into the" |
| | ratio | 0.437 | |
| 51.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 87 | | matches | | 0 | "The air inside the abandoned" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "She checked the worn leather" | | 3 | "She turned her gaze toward" | | 4 | "A string of yellow police" | | 5 | "The younger woman looked wildly" | | 6 | "She was huddled into a" | | 7 | "Her green eyes were fixed" | | 8 | "Quinn navigated the debris,stepping over" | | 9 | "She didn't announce her arrival;" | | 10 | "Eva flinched when Quinn entered" | | 11 | "Detective, Eva breathed, her voice" | | 12 | "You shouldn't be down here." | | 13 | "The scene is..." | | 14 | "it’s not what it looks" | | 15 | "Quinn stopped, her sharp jaw" | | 16 | "I decide what a crime" | | 17 | "Eva glanced toward the two" | | 18 | "People call this the Veil" | | 19 | "It’s not just a station." |
| | ratio | 0.816 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | | ratio | 0.011 | |
| 8.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 9 | | matches | | 0 | "The air inside the abandoned Camden Tube station tasted like pulverized concrete and wet iron, a sharp metallic tang that clung to the back of the throat." | | 1 | "A string of yellow police tape shuddered in a draft that shouldn't have existed this deep underground." | | 2 | "She was huddled into a heavy coat, clutching her worn leather satchel to her chest as if protecting something fragile inside." | | 3 | "It was a man, mid-forties, dressed in decent wool trousers and a cashmere sweater that looked entirely too expensive for a subway platform that hadn't seen a tr…" | | 4 | "It was ice cold, stiffening into the rigor of death, but it was the palm that made her pause." | | 5 | "It was a compass, its casing covered in a heavy, aged patina of verdigris, the face etched with fine, protective sigils that seemed to squirm when viewed throug…" | | 6 | "The needle of the compass wasn't pointing north; it was spinning, a frantic, jittery motion that suggested it was trying to find a magnetic pull from a world th…" | | 7 | "Why are you at a restricted crime scene in a location that isn't supposed to be accessible?" | | 8 | "If he was trying to break in, then someone was guarding it, Quinn said, her mind cataloging the lack of forced entry, the lack of struggle, and the way the body…" |
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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 | |