| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 912 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 23.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 912 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "quivered" | | 1 | "traced" | | 2 | "echoed" | | 3 | "reverberated" | | 4 | "cascading" | | 5 | "trembled" | | 6 | "porcelain" | | 7 | "stomach" | | 8 | "pulse" | | 9 | "perfect" | | 10 | "marble" | | 11 | "silence" | | 12 | "pulsed" |
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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 | 69 | | matches | (empty) | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 10 | | totalWords | 899 | | ratio | 0.011 | | matches | | 0 | "She’s not gone. She’s waiting." | | 1 | "She’s not gone. She’s waiting." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 15.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 707 | | uniqueNames | 10 | | maxNameDensity | 2.69 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 19 | | Quinn | 1 | | Camden | 1 | | Tube | 1 | | Shade | 1 | | Veil | 1 | | Compass | 1 | | Eva | 12 | | Kowalski | 1 | | Brixton | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Compass" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | | | globalScore | 0.156 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 88.77% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.112 | | wordCount | 899 | | matches | | 0 | "not human, she realized, but viscous, iridescent" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 23.66 | | std | 16.43 | | cv | 0.695 | | sampleLengths | | 0 | 75 | | 1 | 51 | | 2 | 35 | | 3 | 16 | | 4 | 20 | | 5 | 32 | | 6 | 10 | | 7 | 47 | | 8 | 14 | | 9 | 34 | | 10 | 17 | | 11 | 41 | | 12 | 39 | | 13 | 10 | | 14 | 10 | | 15 | 30 | | 16 | 39 | | 17 | 14 | | 18 | 35 | | 19 | 32 | | 20 | 14 | | 21 | 4 | | 22 | 52 | | 23 | 5 | | 24 | 17 | | 25 | 9 | | 26 | 25 | | 27 | 33 | | 28 | 6 | | 29 | 8 | | 30 | 5 | | 31 | 8 | | 32 | 8 | | 33 | 43 | | 34 | 9 | | 35 | 18 | | 36 | 11 | | 37 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 69 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 87 | | ratio | 0.126 | | matches | | 0 | "Her leather watch glinted faintly as she adjusted her grip on the compass tucked inside her coat—a tool gifted by a Shade artisan whose sigils still hummed against her skin." | | 1 | "Harlow knelt, brushing away grime to reveal a faint scuff mark—shallow, deliberate—on the stone." | | 2 | "Harlow’s jaw tightened; she’d heard that sound before—in a warehouse fire, a decade prior, when her partner had vanished mid-search." | | 3 | "“Wait.” She pointed to a cluster of dried blood staining the walls—not human, she realized, but viscous, iridescent." | | 4 | "But it wasn’t the toy that made her stomach drop—it was the note tucked beneath it, written in jagged script: *She’s not gone." | | 5 | "From the shadows, a figure emerged—a man in a soot-stained coat, his face obscured by a gas mask." | | 6 | "The man tilted his head, then laughed—a dry, rattling sound." | | 7 | "Not with a crash—but a sigh." | | 8 | "Harlow’s hand flew to her gun, but the chamber’s walls began to bleed—dark liquid seeping through cracks, pooling around their boots." | | 9 | "Not with life—but with hunger." | | 10 | "Harlow tightened her grip on the compass—now cold, inert—and wondered if the real mystery was why they’d survived long enough to find it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 725 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.023448275862068966 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004137931034482759 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 10.32 | | std | 6.33 | | cv | 0.614 | | sampleLengths | | 0 | 25 | | 1 | 30 | | 2 | 20 | | 3 | 23 | | 4 | 11 | | 5 | 17 | | 6 | 14 | | 7 | 8 | | 8 | 13 | | 9 | 8 | | 10 | 8 | | 11 | 7 | | 12 | 8 | | 13 | 5 | | 14 | 9 | | 15 | 3 | | 16 | 20 | | 17 | 5 | | 18 | 5 | | 19 | 9 | | 20 | 11 | | 21 | 4 | | 22 | 18 | | 23 | 5 | | 24 | 6 | | 25 | 8 | | 26 | 25 | | 27 | 9 | | 28 | 7 | | 29 | 7 | | 30 | 3 | | 31 | 22 | | 32 | 10 | | 33 | 9 | | 34 | 14 | | 35 | 23 | | 36 | 2 | | 37 | 3 | | 38 | 7 | | 39 | 5 | | 40 | 5 | | 41 | 6 | | 42 | 18 | | 43 | 6 | | 44 | 8 | | 45 | 10 | | 46 | 12 | | 47 | 9 | | 48 | 11 | | 49 | 3 |
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| 74.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.45977011494252873 | | totalSentences | 87 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 64 | | matches | | 0 | "Then the ceiling collapsed." | | 1 | "Somewhere, a door creaked open." |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 64 | | matches | | 0 | "Her leather watch glinted faintly" | | 1 | "she murmured, rising" | | 2 | "Her boots echoed as she" | | 3 | "They moved toward the noise," | | 4 | "She pointed to a cluster" | | 5 | "They retreated toward the entrance," | | 6 | "He raised a hand, palm" | | 7 | "He gestured to the doll" | | 8 | "His gaze locked onto Harlow’s" | | 9 | "Her eyes were closed, lips" | | 10 | "He gestured to the girl’s" |
| | ratio | 0.172 | |
| 61.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 64 | | matches | | 0 | "Detective Harlow Quinn stepped into" | | 1 | "Her leather watch glinted faintly" | | 2 | "The Veil Compass quivered, its" | | 3 | "The occult researcher’s freckled cheeks" | | 4 | "Harlow knelt, brushing away grime" | | 5 | "she murmured, rising" | | 6 | "Eva glanced at her, skepticism" | | 7 | "Harlow replied, crouching again" | | 8 | "Her boots echoed as she" | | 9 | "A metallic clang reverberated from" | | 10 | "Both women froze." | | 11 | "Harlow’s jaw tightened; she’d heard" | | 12 | "They moved toward the noise," | | 13 | "The shaft yawned wider, revealing" | | 14 | "Halfway across, Harlow paused." | | 15 | "She pointed to a cluster" | | 16 | "Eva knelt beside her, peering" | | 17 | "Harlow said, recalling a case" | | 18 | "A sudden gust sent loose" | | 19 | "Harlow grabbed Eva’s arm, yanking" |
| | ratio | 0.797 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "The Veil Compass quivered, its needle spinning wildly toward a rusted archway half-hidden by peeling posters advertising long-defunct cabaret shows." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva said, her voice small" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 7 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Eva whispered (whisper)" | | 2 | "Harlow muttered (mutter)" | | 3 | "Harlow shouted (shout)" | | 4 | "Eva yelled (yell)" | | 5 | "Harlow breathed (breathe)" | | 6 | "Eva shouted (shout)" |
| | dialogueSentences | 33 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.636 | | effectiveRatio | 0.424 | |