| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn said slowly [slowly]" | | 1 | "Helena's smile turned almost [almost]" | | 2 | "she said quietly [quietly]" |
| | dialogueSentences | 51 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.176 | | effectiveRatio | 0.118 | |
| 80.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1771 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "lazily" | | 3 | "very" | | 4 | "really" |
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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) | |
| 88.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1771 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "etched" | | 1 | "framework" | | 2 | "calculating" | | 3 | "perfect" |
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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 | 99 | | matches | (empty) | |
| 70.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | | 0 | "tended to" | | 1 | "seemed to" | | 2 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 30 | | totalWords | 1755 | | ratio | 0.017 | | matches | | 0 | "Portals and Passages: A History of Threshold Magic" | | 1 | "One Veil Compass. Brass casing, protective sigils. Points toward nearest rift or portal." | | 2 | "Payment received in full. May shadows guide your path." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 1 | | matches | | 0 | "Evidence, she told herself." |
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| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1133 | | uniqueNames | 22 | | maxNameDensity | 2.03 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 23 | | Whitechapel | 1 | | Camden | 1 | | Veil | 3 | | Market | 2 | | Tube | 1 | | Victorian | 1 | | Kowalski | 3 | | British | 1 | | Museum | 1 | | Oxford | 1 | | Aurora | 2 | | Vance | 3 | | Brennan | 3 | | Eva | 8 | | Renaissance | 1 | | Passages | 1 | | History | 1 | | Threshold | 1 | | Compass | 1 | | Helena | 9 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Kowalski" | | 3 | "Aurora" | | 4 | "Vance" | | 5 | "Brennan" | | 6 | "Eva" | | 7 | "Helena" | | 8 | "Morris" |
| | places | | 0 | "Whitechapel" | | 1 | "British" | | 2 | "Oxford" |
| | globalScore | 0.485 | | windowScore | 0.167 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 5 | | matches | | 0 | "right people, apparently, meant whoever ran" | | 1 | "fabric that seemed to shift color when she wasn't looking directly at it" | | 2 | "occurrences that seemed to follow that clique like shadows" | | 3 | "seemed harmless bookish, nervous, forever buried in research about folklore and ancient history" | | 4 | "felt like dried leaves" |
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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 | 1755 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 133 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 29.25 | | std | 21.03 | | cv | 0.719 | | sampleLengths | | 0 | 66 | | 1 | 64 | | 2 | 38 | | 3 | 97 | | 4 | 15 | | 5 | 33 | | 6 | 44 | | 7 | 44 | | 8 | 2 | | 9 | 47 | | 10 | 5 | | 11 | 24 | | 12 | 41 | | 13 | 39 | | 14 | 2 | | 15 | 17 | | 16 | 50 | | 17 | 60 | | 18 | 14 | | 19 | 7 | | 20 | 24 | | 21 | 50 | | 22 | 13 | | 23 | 9 | | 24 | 21 | | 25 | 7 | | 26 | 12 | | 27 | 67 | | 28 | 13 | | 29 | 1 | | 30 | 55 | | 31 | 11 | | 32 | 22 | | 33 | 10 | | 34 | 47 | | 35 | 3 | | 36 | 69 | | 37 | 10 | | 38 | 27 | | 39 | 31 | | 40 | 44 | | 41 | 12 | | 42 | 52 | | 43 | 6 | | 44 | 30 | | 45 | 27 | | 46 | 6 | | 47 | 39 | | 48 | 20 | | 49 | 63 |
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| 91.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 99 | | matches | | 0 | "been hidden" | | 1 | "been tucked" | | 2 | "were etched" | | 3 | "was swept" |
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| 58.91% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 189 | | matches | | 0 | "wasn't looking" | | 1 | "was selling" | | 2 | "was preserving" | | 3 | "was already walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 133 | | ratio | 0.068 | | matches | | 0 | "She'd confiscated it from a pickpocket in Whitechapel three days ago—a nervous kid who'd sworn he didn't know what it was, just that it was worth something to the right people." | | 1 | "The air grew colder with each step, carrying the mineral tang of old stone and something else—something that made the hair on her arms stand up." | | 2 | "The crowd was sparse at this hour—figures in hooded cloaks, a woman with skin that glittered like crushed pearl, a man whose shadow moved a half-second behind his body." | | 3 | "A uniformed constable stood at the edge of the tape—PC Brennan, if she remembered correctly." | | 4 | "She examined Eva's face—peaceful, almost serene." | | 5 | "Eva had seemed harmless—bookish, nervous, forever buried in research about folklore and ancient history." | | 6 | "Strange symbols were etched into the face—sigils, if she had to guess, though she had no framework for understanding them." | | 7 | "Quinn turned to find a woman standing at the edge of the crime scene—tall, elegantly dressed in a charcoal coat that probably cost more than Quinn's monthly salary." | | 8 | "She thought about Morris—his laugh, his terrible jokes, the look of confusion on his face in those last moments before something she still couldn't explain had taken him." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1145 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 33 | | adverbRatio | 0.028820960698689956 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.016593886462882096 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 13.2 | | std | 9.08 | | cv | 0.688 | | sampleLengths | | 0 | 8 | | 1 | 11 | | 2 | 31 | | 3 | 16 | | 4 | 16 | | 5 | 22 | | 6 | 26 | | 7 | 7 | | 8 | 17 | | 9 | 14 | | 10 | 13 | | 11 | 33 | | 12 | 22 | | 13 | 29 | | 14 | 15 | | 15 | 5 | | 16 | 8 | | 17 | 20 | | 18 | 19 | | 19 | 10 | | 20 | 15 | | 21 | 3 | | 22 | 7 | | 23 | 2 | | 24 | 10 | | 25 | 22 | | 26 | 2 | | 27 | 2 | | 28 | 15 | | 29 | 7 | | 30 | 23 | | 31 | 5 | | 32 | 13 | | 33 | 11 | | 34 | 10 | | 35 | 25 | | 36 | 6 | | 37 | 20 | | 38 | 19 | | 39 | 2 | | 40 | 17 | | 41 | 2 | | 42 | 6 | | 43 | 10 | | 44 | 32 | | 45 | 7 | | 46 | 26 | | 47 | 14 | | 48 | 13 | | 49 | 14 |
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| 76.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.48120300751879697 | | totalSentences | 133 | | uniqueOpeners | 64 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | 0 | "Too light, like holding a" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 92 | | matches | | 0 | "She'd confiscated it from a" | | 1 | "She'd been a detective for" | | 2 | "She'd seen bodies in every" | | 3 | "It was incongruous, that tape." | | 4 | "It stretched across a narrow" | | 5 | "She'd seen photographs of this" | | 6 | "His eyes kept darting to" | | 7 | "He lowered his voice" | | 8 | "She pulled on a pair" | | 9 | "She examined Eva's face—peaceful, almost" | | 10 | "Her green eyes were open," | | 11 | "She'd been watching Eva Kowalski" | | 12 | "She continued searching the body," | | 13 | "She pocketed it without thinking." | | 14 | "She was preserving evidence." | | 15 | "Her silver hair was swept" | | 16 | "She kept her face neutral" | | 17 | "She thought about Morris—his laugh," | | 18 | "It never had." | | 19 | "She pulled out the compass" |
| | ratio | 0.261 | |
| 41.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 92 | | matches | | 0 | "The bone token felt wrong" | | 1 | "She'd confiscated it from a" | | 2 | "The right people, apparently, meant" | | 3 | "Quinn descended the maintenance ladder" | | 4 | "The passage had been hidden" | | 5 | "The air grew colder with" | | 6 | "She'd been a detective for" | | 7 | "She'd seen bodies in every" | | 8 | "The Veil Market spread out" | | 9 | "Lanterns hung from the curved" | | 10 | "Vendors called out in languages" | | 11 | "The crowd was sparse at" | | 12 | "Quinn kept her hand near" | | 13 | "It was incongruous, that tape." | | 14 | "It stretched across a narrow" | | 15 | "The victim was a young" | | 16 | "A worn leather satchel lay" | | 17 | "Quinn's throat tightened." | | 18 | "She'd seen photographs of this" | | 19 | "Friend to Aurora Vance, the" |
| | ratio | 0.837 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 3.11% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 9 | | matches | | 0 | "She'd confiscated it from a pickpocket in Whitechapel three days ago—a nervous kid who'd sworn he didn't know what it was, just that it was worth something to t…" | | 1 | "The air grew colder with each step, carrying the mineral tang of old stone and something else—something that made the hair on her arms stand up." | | 2 | "Lanterns hung from the curved ceiling of the abandoned Tube station, casting pools of amber light across stalls draped in fabric that seemed to shift color when…" | | 3 | "The crowd was sparse at this hour—figures in hooded cloaks, a woman with skin that glittered like crushed pearl, a man whose shadow moved a half-second behind h…" | | 4 | "Following her movements, cataloging her associations, trying to understand her connection to Aurora Vance and the strange occurrences that seemed to follow that…" | | 5 | "Not the kind of woman who ended up dead in a supernatural black market." | | 6 | "Tucked between the pages of the last book was a handwritten receipt on paper that felt like dried leaves." | | 7 | "The compass was heavier than it looked, its casing covered in a patina of verdigris that spoke to considerable age." | | 8 | "Her silver hair was swept back from a face that might have been beautiful if not for the calculating coldness in her pale eyes." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn muttered (mutter)" |
| | dialogueSentences | 51 | | tagDensity | 0.078 | | leniency | 0.157 | | rawRatio | 0.25 | | effectiveRatio | 0.039 | |