| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "Walker hesitated then [then]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 47 | | tagDensity | 0.298 | | leniency | 0.596 | | rawRatio | 0.143 | | effectiveRatio | 0.085 | |
| 96.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1301 | | totalAiIsmAdverbs | 1 | | 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) | |
| 53.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1301 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flickered" | | 1 | "silence" | | 2 | "chill" | | 3 | "weight" | | 4 | "could feel" | | 5 | "stomach" | | 6 | "etched" | | 7 | "racing" | | 8 | "traced" | | 9 | "pulse" | | 10 | "flicked" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | 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 | 2 | | markdownWords | 15 | | totalWords | 1297 | | ratio | 0.012 | | matches | | 0 | "click" | | 1 | "The Veil Compass. A guide for the lost. A death sentence for the unprepared." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1007 | | uniqueNames | 13 | | maxNameDensity | 2.58 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 26 | | Camden | 2 | | Town | 1 | | Sergeant | 1 | | Walker | 9 | | Morris | 3 | | Kowalski | 1 | | Aurora | 1 | | Eva | 15 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Walker" | | 4 | "Morris" | | 5 | "Kowalski" | | 6 | "Aurora" | | 7 | "Eva" | | 8 | "Compass" |
| | places | | | globalScore | 0.209 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | 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 | 1297 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 142 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 21.62 | | std | 18.37 | | cv | 0.85 | | sampleLengths | | 0 | 85 | | 1 | 5 | | 2 | 54 | | 3 | 27 | | 4 | 57 | | 5 | 25 | | 6 | 70 | | 7 | 5 | | 8 | 23 | | 9 | 35 | | 10 | 5 | | 11 | 14 | | 12 | 33 | | 13 | 37 | | 14 | 10 | | 15 | 13 | | 16 | 46 | | 17 | 12 | | 18 | 9 | | 19 | 3 | | 20 | 36 | | 21 | 1 | | 22 | 9 | | 23 | 11 | | 24 | 31 | | 25 | 1 | | 26 | 48 | | 27 | 33 | | 28 | 36 | | 29 | 7 | | 30 | 2 | | 31 | 5 | | 32 | 46 | | 33 | 12 | | 34 | 41 | | 35 | 13 | | 36 | 22 | | 37 | 8 | | 38 | 7 | | 39 | 2 | | 40 | 29 | | 41 | 19 | | 42 | 9 | | 43 | 11 | | 44 | 2 | | 45 | 31 | | 46 | 5 | | 47 | 2 | | 48 | 22 | | 49 | 18 |
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| 82.93% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 110 | | matches | | 0 | "were splayed" | | 1 | "were pulled" | | 2 | "been left" | | 3 | "was blackened" | | 4 | "was etched" | | 5 | "been repurposed" | | 6 | "was tucked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 184 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 142 | | ratio | 0.014 | | matches | | 0 | "Her curly red hair was tucked behind her left ear—a nervous habit Quinn had noticed before." | | 1 | "She pulled out a book—old, leather-bound, the pages yellowed with age." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1011 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03560830860534125 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005934718100890208 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 9.13 | | std | 6.71 | | cv | 0.735 | | sampleLengths | | 0 | 26 | | 1 | 23 | | 2 | 14 | | 3 | 22 | | 4 | 5 | | 5 | 14 | | 6 | 30 | | 7 | 5 | | 8 | 5 | | 9 | 12 | | 10 | 15 | | 11 | 16 | | 12 | 13 | | 13 | 19 | | 14 | 9 | | 15 | 15 | | 16 | 10 | | 17 | 23 | | 18 | 11 | | 19 | 12 | | 20 | 8 | | 21 | 3 | | 22 | 13 | | 23 | 5 | | 24 | 20 | | 25 | 3 | | 26 | 2 | | 27 | 21 | | 28 | 5 | | 29 | 3 | | 30 | 4 | | 31 | 5 | | 32 | 11 | | 33 | 3 | | 34 | 18 | | 35 | 15 | | 36 | 3 | | 37 | 4 | | 38 | 19 | | 39 | 11 | | 40 | 10 | | 41 | 13 | | 42 | 11 | | 43 | 20 | | 44 | 15 | | 45 | 5 | | 46 | 7 | | 47 | 8 | | 48 | 1 | | 49 | 2 |
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| 54.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.352112676056338 | | totalSentences | 142 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 97 | | matches | | 0 | "Just a man who’d died" | | 1 | "Just a hunk of metal" | | 2 | "Then she set it down" |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 97 | | matches | | 0 | "She adjusted the worn leather" | | 1 | "He was young, still had" | | 2 | "She’d been that cop once." | | 3 | "His skin had a grayish" | | 4 | "She pressed her fingers to" | | 5 | "It was old." | | 6 | "He reached into an evidence" | | 7 | "She knew this thing." | | 8 | "she asked, keeping her voice" | | 9 | "She’d seen enough occult nonsense" | | 10 | "She stood, brushing dust from" | | 11 | "She needed space to think." | | 12 | "She pulled the compass out" | | 13 | "She tapped it with her" | | 14 | "Her curly red hair was" | | 15 | "She stepped closer, her breath" | | 16 | "Her fingers traced the sigils," | | 17 | "She was too busy remembering" | | 18 | "She pulled out a book—old," | | 19 | "She flipped it open to" |
| | ratio | 0.206 | |
| 47.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 97 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The overhead lights flickered, casting" | | 3 | "She adjusted the worn leather" | | 4 | "Detective Sergeant Walker turned from" | | 5 | "He was young, still had" | | 6 | "Quinn had seen it before." | | 7 | "She’d been that cop once." | | 8 | "Walker said, gesturing to the" | | 9 | "Quinn crouched beside the body," | | 10 | "The man’s limbs were splayed" | | 11 | "His skin had a grayish" | | 12 | "Quinn reached into her coat" | | 13 | "She pressed her fingers to" | | 14 | "The skin was cold, but" | | 15 | "This was different." | | 16 | "Walker hesitated, then pointed to" | | 17 | "The man’s index finger was" | | 18 | "It was old." | | 19 | "Days old, maybe longer." |
| | ratio | 0.825 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 97 | | matches | | 0 | "Because the last time she’d" |
| | ratio | 0.01 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "The abandoned Tube station smelled of damp concrete and rust, the kind of scent that clung to the back of your throat like a bad memory." | | 1 | "The overhead lights flickered, casting long shadows that stretched and shrank like living things." | | 2 | "Eva was Aurora’s friend, which made her a person of interest by default." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn crouched, her sharp jaw tightening as she took in the details" | | 1 | "Walker shifted, his shoes squeaking against the tile" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 47 | | tagDensity | 0.191 | | leniency | 0.383 | | rawRatio | 0.111 | | effectiveRatio | 0.043 | |