| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.875 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1012 | | 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) | |
| 40.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1012 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "velvet" | | 1 | "flickered" | | 2 | "unreadable" | | 3 | "silence" | | 4 | "shattered" | | 5 | "potential" | | 6 | "etched" | | 7 | "intricate" | | 8 | "grave" | | 9 | "quivered" | | 10 | "scanned" | | 11 | "footsteps" |
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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 | 40 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 40 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 97 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1012 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 852 | | uniqueNames | 11 | | maxNameDensity | 1.88 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 16 | | Veil | 4 | | Market | 4 | | Kowalski | 1 | | Detective | 3 | | Compass | 2 | | Eva | 6 | | Morris | 2 | | Camden | 1 | | London | 1 | | Underground | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Kowalski" | | 3 | "Compass" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.561 | | windowScore | 0.667 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 27 | | glossingSentenceCount | 1 | | matches | | 0 | "as if seeking to dig its way through the stone" |
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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 | 1012 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 40 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 37.48 | | std | 25.71 | | cv | 0.686 | | sampleLengths | | 0 | 14 | | 1 | 97 | | 2 | 71 | | 3 | 61 | | 4 | 21 | | 5 | 76 | | 6 | 43 | | 7 | 19 | | 8 | 44 | | 9 | 76 | | 10 | 14 | | 11 | 15 | | 12 | 55 | | 13 | 46 | | 14 | 33 | | 15 | 28 | | 16 | 6 | | 17 | 79 | | 18 | 12 | | 19 | 41 | | 20 | 3 | | 21 | 39 | | 22 | 32 | | 23 | 16 | | 24 | 52 | | 25 | 5 | | 26 | 14 |
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| 78.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 40 | | matches | | 0 | "were etched" | | 1 | "was clipped" | | 2 | "were curled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 134 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.014925373134328358 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.007462686567164179 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 40 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 40 | | mean | 25.3 | | std | 25.88 | | cv | 1.023 | | sampleLengths | | 0 | 7 | | 1 | 7 | | 2 | 97 | | 3 | 71 | | 4 | 61 | | 5 | 13 | | 6 | 2 | | 7 | 4 | | 8 | 2 | | 9 | 76 | | 10 | 43 | | 11 | 19 | | 12 | 14 | | 13 | 4 | | 14 | 3 | | 15 | 6 | | 16 | 13 | | 17 | 4 | | 18 | 76 | | 19 | 9 | | 20 | 5 | | 21 | 15 | | 22 | 55 | | 23 | 46 | | 24 | 22 | | 25 | 11 | | 26 | 28 | | 27 | 6 | | 28 | 79 | | 29 | 12 | | 30 | 41 | | 31 | 3 | | 32 | 19 | | 33 | 10 | | 34 | 10 | | 35 | 32 | | 36 | 16 | | 37 | 52 | | 38 | 5 | | 39 | 14 |
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| 31.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.325 | | totalSentences | 40 | | uniqueOpeners | 13 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 36 | | matches | | 0 | "She moved through the crowd" | | 1 | "She reached the cordoned-off stall." | | 2 | "He's not slumped, Detective." | | 3 | "It's pointing through you." | | 4 | "She noticed the victim's left" | | 5 | "It moves on the full" | | 6 | "She heard footsteps behind her." |
| | ratio | 0.194 | |
| 1.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 36 | | matches | | 0 | "Harlow Quinn stepped over the" | | 1 | "The Veil Market didn't pause" | | 2 | "She moved through the crowd" | | 3 | "She reached the cordoned-off stall." | | 4 | "Eva Kowalski knelt beside the" | | 5 | "Eva said, not looking up" | | 6 | "He's not slumped, Detective." | | 7 | "Quinn didn't answer. She circled" | | 8 | "Quinn crouched. Her salt-and-pepper hair," | | 9 | "Quinn said. Her voice was" | | 10 | "Eva adjusted her glasses, pushing" | | 11 | "It's pointing through you." | | 12 | "The needle indicates the nearest" | | 13 | "Quinn checked her pockets. Her" | | 14 | "The compass is his" | | 15 | "Eva said. Her voice dropped" | | 16 | "Quinn looked at the body" | | 17 | "Quinn's breath caught. She recognised" | | 18 | "Eva said, following Quinn's gaze." | | 19 | "The rift opened here, in" |
| | ratio | 0.917 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 36 | | matches | | 0 | "If it's aiming at your" |
| | ratio | 0.028 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 5 | | matches | | 0 | "Eva Kowalski knelt beside the corpse, her round glasses slipping down her freckled nose. She wore her worn leather satchel across her chest, ancient history boo…" | | 1 | "Quinn didn't answer. She circled the body, her boots crunching on broken glass from a shattered glass display case. The stall sold small enchanted objects, bras…" | | 2 | "Quinn checked her pockets. Her service weapon. Her notebook. The bone token she'd used to enter, tucked in her breast pocket. Nothing else. But she thought of D…" | | 3 | "Quinn straightened. Her sharp jaw set. The market noise seemed to drop away, a sudden hush falling over the merchants and creatures who watched from a respectfu…" | | 4 | "The compass needle began to spin again, faster now, a blur of brass against verdigris. It pointed at the wall. At the scratched tile. The needle quivered, strai…" |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva said, not looking up" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |