| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said slowly [slowly]" |
| | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.25 | | effectiveRatio | 0.095 | |
| 81.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1096 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "sharply" | | 2 | "carefully" |
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| 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) | |
| 40.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1096 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "flickered" | | 1 | "gloom" | | 2 | "pulse" | | 3 | "fractured" | | 4 | "racing" | | 5 | "familiar" | | 6 | "etched" | | 7 | "echoing" | | 8 | "silence" | | 9 | "stomach" | | 10 | "tracing" | | 11 | "shimmered" | | 12 | "the last thing" |
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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 | 1 | | narrationSentences | 81 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1085 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 862 | | uniqueNames | 9 | | maxNameDensity | 1.51 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 13 | | Camden | 1 | | Town | 1 | | Carter | 13 | | Morris | 3 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Carter" | | 3 | "Morris" | | 4 | "Market" |
| | places | | | globalScore | 0.746 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | 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 | 1085 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 31.91 | | std | 22.49 | | cv | 0.705 | | sampleLengths | | 0 | 86 | | 1 | 74 | | 2 | 71 | | 3 | 8 | | 4 | 21 | | 5 | 57 | | 6 | 8 | | 7 | 6 | | 8 | 10 | | 9 | 13 | | 10 | 46 | | 11 | 28 | | 12 | 13 | | 13 | 33 | | 14 | 24 | | 15 | 38 | | 16 | 39 | | 17 | 52 | | 18 | 70 | | 19 | 57 | | 20 | 28 | | 21 | 7 | | 22 | 17 | | 23 | 49 | | 24 | 17 | | 25 | 13 | | 26 | 58 | | 27 | 7 | | 28 | 32 | | 29 | 3 | | 30 | 20 | | 31 | 29 | | 32 | 37 | | 33 | 14 |
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| 92.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 81 | | matches | | 0 | "were splayed" | | 1 | "were torn" | | 2 | "were cracked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 157 | | matches | | 0 | "was spinning" | | 1 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 96 | | ratio | 0.052 | | matches | | 0 | "No pulse, of course, but something else caught her attention—a faint, almost imperceptible tremor beneath her fingertips." | | 1 | "There, just beneath the surface, was something else—something that didn’t belong." | | 2 | "She’d seen cases like this before—cases that didn’t fit, that defied explanation." | | 3 | "The compass wasn’t hers—it had been Morris’s, left behind in his desk after he’d vanished." | | 4 | "Instead, she reached into her pocket and pulled out a small, curved bone token—another relic from Morris’s desk." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 869 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03452243958573072 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00805523590333717 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 11.3 | | std | 6.77 | | cv | 0.599 | | sampleLengths | | 0 | 26 | | 1 | 23 | | 2 | 15 | | 3 | 22 | | 4 | 26 | | 5 | 23 | | 6 | 14 | | 7 | 11 | | 8 | 15 | | 9 | 20 | | 10 | 5 | | 11 | 14 | | 12 | 17 | | 13 | 8 | | 14 | 4 | | 15 | 17 | | 16 | 9 | | 17 | 14 | | 18 | 11 | | 19 | 11 | | 20 | 12 | | 21 | 8 | | 22 | 4 | | 23 | 2 | | 24 | 5 | | 25 | 5 | | 26 | 6 | | 27 | 7 | | 28 | 14 | | 29 | 19 | | 30 | 13 | | 31 | 10 | | 32 | 18 | | 33 | 2 | | 34 | 11 | | 35 | 8 | | 36 | 25 | | 37 | 10 | | 38 | 14 | | 39 | 5 | | 40 | 33 | | 41 | 15 | | 42 | 24 | | 43 | 8 | | 44 | 9 | | 45 | 15 | | 46 | 12 | | 47 | 8 | | 48 | 20 | | 49 | 17 |
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| 54.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3541666666666667 | | totalSentences | 96 | | uniqueOpeners | 34 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 75 | | matches | | 0 | "Instead, she reached into her" |
| | ratio | 0.013 | |
| 70.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 75 | | matches | | 0 | "Her leather watch creaked as" | | 1 | "He stood near the edge" | | 2 | "His limbs were splayed at" | | 3 | "She reached out, her gloved" | | 4 | "she asked, her voice low" | | 5 | "His eyes were open, wide" | | 6 | "She leaned in closer, her" | | 7 | "she said slowly" | | 8 | "He frowned, stepping closer." | | 9 | "She pointed to the residue." | | 10 | "She pulled a small evidence" | | 11 | "she said, sealing the bag" | | 12 | "She’d seen cases like this" | | 13 | "She reached into her coat" | | 14 | "She’d kept it, though she" | | 15 | "It had never worked before." | | 16 | "She followed the needle’s direction," | | 17 | "She pressed her palm against" | | 18 | "She turned to see him" | | 19 | "She knew what this meant." |
| | ratio | 0.373 | |
| 13.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 75 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The overhead lights flickered, casting" | | 3 | "Her leather watch creaked as" | | 4 | "The voice belonged to DS" | | 5 | "He stood near the edge" | | 6 | "The victim was young, early" | | 7 | "His limbs were splayed at" | | 8 | "Quinn crouched beside the body," | | 9 | "The victim’s clothes were torn," | | 10 | "She reached out, her gloved" | | 11 | "she asked, her voice low" | | 12 | "Carter consulted his notes." | | 13 | "Quinn nodded, her gaze drifting" | | 14 | "His eyes were open, wide" | | 15 | "She leaned in closer, her" | | 16 | "There, just beneath the surface," | | 17 | "A faint, shimmering residue clung" | | 18 | "she said slowly" | | 19 | "He frowned, stepping closer." |
| | ratio | 0.893 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Before he could respond, she" |
| | ratio | 0.013 | |
| 89.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | 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 twisted across the graffiti-scarred walls." | | 2 | "There was something familiar about this, something that scratched at the edges of her memory." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she asked, her voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |