| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1639 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 45.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1639 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "scanned" | | 1 | "mosaic" | | 2 | "weight" | | 3 | "shimmered" | | 4 | "etched" | | 5 | "chill" | | 6 | "racing" | | 7 | "perfect" | | 8 | "oppressive" | | 9 | "maw" | | 10 | "echoes" | | 11 | "mechanical" | | 12 | "echoing" | | 13 | "silence" | | 14 | "unraveling" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 143 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 143 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1635 | | ratio | 0.002 | | matches | | 0 | "could" | | 1 | "Smudged" | | 2 | "moved" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1219 | | uniqueNames | 15 | | maxNameDensity | 1.15 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 14 | | Tube | 1 | | Camden | 1 | | Sergeant | 1 | | Davies | 9 | | Underground | 1 | | Morris | 1 | | Veil | 3 | | Compass | 2 | | Market | 2 | | Thorne | 3 | | Kowalski | 1 | | Marcus | 2 | | One | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Davies" | | 4 | "Underground" | | 5 | "Morris" | | 6 | "Thorne" | | 7 | "Kowalski" | | 8 | "Marcus" | | 9 | "One" |
| | places | | | globalScore | 0.926 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a finger bone, etched with sp" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.612 | | wordCount | 1635 | | matches | | 0 | "not pointing north, but toward the nearest supernatural rift" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 169 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 32.06 | | std | 21.24 | | cv | 0.663 | | sampleLengths | | 0 | 70 | | 1 | 22 | | 2 | 65 | | 3 | 24 | | 4 | 23 | | 5 | 21 | | 6 | 1 | | 7 | 9 | | 8 | 60 | | 9 | 5 | | 10 | 47 | | 11 | 8 | | 12 | 50 | | 13 | 15 | | 14 | 17 | | 15 | 11 | | 16 | 18 | | 17 | 11 | | 18 | 9 | | 19 | 8 | | 20 | 10 | | 21 | 70 | | 22 | 6 | | 23 | 30 | | 24 | 7 | | 25 | 64 | | 26 | 49 | | 27 | 14 | | 28 | 36 | | 29 | 57 | | 30 | 30 | | 31 | 72 | | 32 | 46 | | 33 | 6 | | 34 | 40 | | 35 | 7 | | 36 | 31 | | 37 | 31 | | 38 | 58 | | 39 | 30 | | 40 | 32 | | 41 | 71 | | 42 | 43 | | 43 | 29 | | 44 | 6 | | 45 | 30 | | 46 | 39 | | 47 | 42 | | 48 | 53 | | 49 | 39 |
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| 88.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 143 | | matches | | 0 | "was flung" | | 1 | "was frozen" | | 2 | "been pressed" | | 3 | "was gone" | | 4 | "was torn" | | 5 | "was dislodged" | | 6 | "was thrown" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 202 | | matches | | |
| 75.23% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 169 | | ratio | 0.024 | | matches | | 0 | "His clothes were expensive—a tailored wool coat, polished shoes now scuffed with station dirt." | | 1 | "Her eyes went to the Veil Compass in her mind’s eye—a small brass compass with a verdigris patina, its face etched with sigils, its needle not pointing north, but toward the nearest supernatural rift." | | 2 | "The rational, the procedural, the eighteen years of decorated service—they all screamed this was a coincidence." | | 3 | "But in the echoing silence of the dead station, she heard another sound—the slow, deliberate unraveling of the world she thought she knew." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1229 | | adjectiveStacks | 2 | | stackExamples | | 0 | "faint, disc-shaped impression" | | 1 | "oppressive, shadow-filled tunnels" |
| | adverbCount | 31 | | adverbRatio | 0.025223759153783564 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005695687550854353 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 9.67 | | std | 7.47 | | cv | 0.772 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 13 | | 3 | 27 | | 4 | 5 | | 5 | 16 | | 6 | 6 | | 7 | 3 | | 8 | 4 | | 9 | 20 | | 10 | 7 | | 11 | 3 | | 12 | 14 | | 13 | 14 | | 14 | 10 | | 15 | 14 | | 16 | 5 | | 17 | 15 | | 18 | 3 | | 19 | 21 | | 20 | 1 | | 21 | 9 | | 22 | 2 | | 23 | 16 | | 24 | 9 | | 25 | 3 | | 26 | 12 | | 27 | 18 | | 28 | 5 | | 29 | 12 | | 30 | 8 | | 31 | 7 | | 32 | 8 | | 33 | 12 | | 34 | 2 | | 35 | 6 | | 36 | 10 | | 37 | 5 | | 38 | 4 | | 39 | 5 | | 40 | 4 | | 41 | 12 | | 42 | 4 | | 43 | 3 | | 44 | 3 | | 45 | 4 | | 46 | 11 | | 47 | 17 | | 48 | 6 | | 49 | 5 |
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| 57.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.38461538461538464 | | totalSentences | 169 | | uniqueOpeners | 65 | |
| 78.13% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 128 | | matches | | 0 | "Freshly ripped, in a clean" | | 1 | "Then she checked his other" | | 2 | "Just below the stiffened fingers." |
| | ratio | 0.023 | |
| 98.13% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 128 | | matches | | 0 | "She scanned the scene." | | 1 | "His clothes were expensive—a tailored" | | 2 | "Her gaze dragged over the" | | 3 | "She crouched, her knees cracking" | | 4 | "She pulled a penlight from" | | 5 | "She shifted her weight, panning" | | 6 | "They formed a rough triangle" | | 7 | "They were stiff, locked." | | 8 | "She looked at his face." | | 9 | "It was frozen in a" | | 10 | "she called out" | | 11 | "She walked to the mosaic" | | 12 | "Her penlight beam danced over" | | 13 | "She scraped at it with" | | 14 | "It shimmered faintly in her" | | 15 | "She sealed the sample in" | | 16 | "She walked back to the" | | 17 | "It was old, carved from" | | 18 | "Her own hand drifted to" | | 19 | "She remembered another case." |
| | ratio | 0.305 | |
| 88.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 128 | | matches | | 0 | "The air tasted of old" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "The abandoned Tube station beneath" | | 3 | "Emergency floodlights cast a flat," | | 4 | "Detective Sergeant Davies straightened up" | | 5 | "Quinn didn’t answer." | | 6 | "She scanned the scene." | | 7 | "The body was male, mid-forties," | | 8 | "His clothes were expensive—a tailored" | | 9 | "A bone token, carved and" | | 10 | "Davies continued, flipping open his" | | 11 | "Quinn walked a slow perimeter." | | 12 | "Her gaze dragged over the" | | 13 | "She crouched, her knees cracking" | | 14 | "A faint, disc-shaped impression in" | | 15 | "She pulled a penlight from" | | 16 | "The beam revealed a subtle," | | 17 | "Davies leaned in" | | 18 | "She shifted her weight, panning" | | 19 | "A second, similar impression lay" |
| | ratio | 0.742 | |
| 78.13% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 128 | | matches | | 0 | "While Davies organized the techs," | | 1 | "If Thorne had one, where" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 2 | | matches | | 0 | "Detective Harlow Quinn ducked under the fluttering blue-and-white tape, her boots crunching on the gravel-strewn platform." | | 1 | "It whispered of underground markets and shadowed trades, of compasses that pointed to secrets and tokens that bought passage to places that shouldn’t exist." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 5 | | matches | | 0 | "Detective Sergeant Davies straightened up, his face pale in the harsh light" | | 1 | "she ordered, her voice flat" | | 2 | "she said, her tone leaving no room for argument" | | 3 | "she murmured, more to herself than to Davies" | | 4 | "she said, her voice a razor" |
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| 47.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Davies continued (continue)" | | 1 | "she ordered (order)" | | 2 | "Quinn pressed (press)" | | 3 | "she murmured (murmur)" |
| | dialogueSentences | 39 | | tagDensity | 0.205 | | leniency | 0.41 | | rawRatio | 0.5 | | effectiveRatio | 0.205 | |