| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "She knelt again [again]" |
| | dialogueSentences | 30 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.056 | | effectiveRatio | 0.056 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1047 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1047 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "etched" | | 1 | "chill" | | 2 | "pulse" | | 3 | "flicked" | | 4 | "tracing" | | 5 | "measured" | | 6 | "flickered" | | 7 | "flicker" | | 8 | "silence" | | 9 | "weight" | | 10 | "familiar" | | 11 | "echoing" | | 12 | "echoed" | | 13 | "glint" | | 14 | "gleaming" | | 15 | "gloom" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "eyes widened" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 58 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 5 | | narrationSentences | 58 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1046 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 757 | | uniqueNames | 3 | | maxNameDensity | 1.98 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 11 | | Harlow | 15 | | Verdigrised | 1 |
| | persons | | 0 | "Eva" | | 1 | "Harlow" | | 2 | "Verdigrised" |
| | places | (empty) | | globalScore | 0.509 | | windowScore | 0.667 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "chill that seemed to pulse from it" | | 1 | "as if answering a call only the veil could hear" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.956 | | wordCount | 1046 | | matches | | 0 | "not at the body but at a section of wall" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 34.87 | | std | 25.95 | | cv | 0.744 | | sampleLengths | | 0 | 19 | | 1 | 60 | | 2 | 91 | | 3 | 45 | | 4 | 66 | | 5 | 6 | | 6 | 60 | | 7 | 65 | | 8 | 40 | | 9 | 63 | | 10 | 33 | | 11 | 3 | | 12 | 68 | | 13 | 17 | | 14 | 70 | | 15 | 83 | | 16 | 38 | | 17 | 21 | | 18 | 46 | | 19 | 10 | | 20 | 18 | | 21 | 26 | | 22 | 10 | | 23 | 14 | | 24 | 22 | | 25 | 24 | | 26 | 18 | | 27 | 3 | | 28 | 3 | | 29 | 4 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 58 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 134 | | matches | | |
| 61.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 70 | | ratio | 0.029 | | matches | | 0 | "“And the killer is still here, waiting for the veil to thin enough to slip through.” She turned her head toward the far end of the platform, where a faint flicker of light danced—like a candle struggling against a draft." | | 1 | "She paused, hand outstretched, feeling the subtle pull of the void—an invitation, or a warning." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 758 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.021108179419525065 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0079155672823219 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 14.94 | | std | 9.52 | | cv | 0.637 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 24 | | 3 | 17 | | 4 | 19 | | 5 | 22 | | 6 | 11 | | 7 | 31 | | 8 | 5 | | 9 | 3 | | 10 | 14 | | 11 | 18 | | 12 | 13 | | 13 | 12 | | 14 | 11 | | 15 | 13 | | 16 | 30 | | 17 | 6 | | 18 | 8 | | 19 | 31 | | 20 | 9 | | 21 | 3 | | 22 | 9 | | 23 | 5 | | 24 | 21 | | 25 | 28 | | 26 | 9 | | 27 | 2 | | 28 | 6 | | 29 | 34 | | 30 | 16 | | 31 | 32 | | 32 | 15 | | 33 | 18 | | 34 | 9 | | 35 | 6 | | 36 | 2 | | 37 | 1 | | 38 | 14 | | 39 | 42 | | 40 | 12 | | 41 | 11 | | 42 | 6 | | 43 | 6 | | 44 | 40 | | 45 | 14 | | 46 | 10 | | 47 | 8 | | 48 | 33 | | 49 | 18 |
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| 49.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.32857142857142857 | | totalSentences | 70 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 54 | | matches | | 0 | "She tucked a stray curl" | | 1 | "she said, voice low" | | 2 | "she murmured, tracing a finger" | | 3 | "She rose, her boots scraping" | | 4 | "She knelt again, this time" | | 5 | "She flicked open the brass" | | 6 | "She tipped the vial, letting" | | 7 | "She tapped the compass against" | | 8 | "She turned her head toward" | | 9 | "She slipped the compass back" | | 10 | "She paused, hand outstretched, feeling" | | 11 | "She spun, eyes narrowing, the" |
| | ratio | 0.222 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 54 | | matches | | 0 | "Harlow’s voice cut through the" | | 1 | "The abandoned platform smelled of" | | 2 | "A single bone token lay" | | 3 | "Harlow’s gloved fingers hovered over" | | 4 | "She tucked a stray curl" | | 5 | "she said, voice low" | | 6 | "Harlow’s eyes flicked to the" | | 7 | "Eva lifted the worn leather" | | 8 | "she murmured, tracing a finger" | | 9 | "A faint metallic tang hung" | | 10 | "Harlow inhaled, noting the copper" | | 11 | "She rose, her boots scraping" | | 12 | "The victim wore a dark" | | 13 | "Eva asked, leaning closer" | | 14 | "Harlow shook her head, her" | | 15 | "She knelt again, this time" | | 16 | "The surface was warm, almost" | | 17 | "Eva’s eyes widened." | | 18 | "She flicked open the brass" | | 19 | "The needle spun wildly before" |
| | ratio | 0.926 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "Harlow inhaled, noting the copper undertone that whispered of recent blood." | | 1 | "The victim wore a dark coat, the collar turned up against the chill, but the fabric was torn at the shoulder, as if something had ripped it away from behind." | | 2 | "The figure lifted the token, and for a heartbeat the stone beneath them seemed to pulse, as if answering a call only the veil could hear." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 5 | | matches | | 0 | "she said, voice low" | | 1 | "Harlow’s eyes flicked, its face scratched but still ticking with military precision" | | 2 | "She flicked, the Verdigrised casing catching the dim light" | | 3 | "She slipped, the weight of it familiar against her hip" | | 4 | "the figure said, voice muffled but unmistakably familiar" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Harlow murmured (murmur)" |
| | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0.286 | | effectiveRatio | 0.133 | |