| 14.81% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 5 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "Quinn stepped aside [aside]" | | 2 | "she said quietly [quietly]" | | 3 | "Eva said flatly [flatly]" | | 4 | "she said softly [softly]" |
| | dialogueSentences | 54 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0.25 | | effectiveRatio | 0.185 | |
| 79.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1194 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "softly" | | 3 | "very" |
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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) | |
| 62.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1194 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoing" | | 2 | "weight" | | 3 | "silence" | | 4 | "etched" | | 5 | "scanning" | | 6 | "tracing" | | 7 | "gleaming" | | 8 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1200 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 676 | | uniqueNames | 4 | | maxNameDensity | 2.22 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Quinn | 15 | | Dawes | 7 | | Eva | 12 | | Kowalski | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Dawes" | | 2 | "Eva" | | 3 | "Kowalski" |
| | places | (empty) | | globalScore | 0.391 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "as if tracing the lines in the air" |
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| 33.33% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.667 | | wordCount | 1200 | | matches | | 0 | "Not ritualistic in any religious sense she recognised, but something else" | | 1 | "not touching it, but close enough to examine the symbols" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 22.64 | | std | 16.63 | | cv | 0.734 | | sampleLengths | | 0 | 53 | | 1 | 47 | | 2 | 31 | | 3 | 49 | | 4 | 10 | | 5 | 12 | | 6 | 1 | | 7 | 5 | | 8 | 33 | | 9 | 29 | | 10 | 53 | | 11 | 7 | | 12 | 5 | | 13 | 7 | | 14 | 21 | | 15 | 42 | | 16 | 12 | | 17 | 5 | | 18 | 49 | | 19 | 9 | | 20 | 18 | | 21 | 45 | | 22 | 16 | | 23 | 11 | | 24 | 43 | | 25 | 39 | | 26 | 13 | | 27 | 10 | | 28 | 39 | | 29 | 36 | | 30 | 1 | | 31 | 23 | | 32 | 9 | | 33 | 54 | | 34 | 14 | | 35 | 53 | | 36 | 23 | | 37 | 9 | | 38 | 42 | | 39 | 30 | | 40 | 7 | | 41 | 12 | | 42 | 8 | | 43 | 2 | | 44 | 25 | | 45 | 10 | | 46 | 33 | | 47 | 23 | | 48 | 2 | | 49 | 32 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 76 | | matches | | 0 | "been sealed" | | 1 | "been drawn" | | 2 | "been laid" | | 3 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 38.96% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 110 | | ratio | 0.036 | | matches | | 0 | "Harlow Quinn stood with her hands on her hips, breathing through her mouth to avoid the smell — damp earth, rusted metal, and something else." | | 1 | "Graffiti covered the old advertising boards — layered tags and crude drawings, but some symbols stood out." | | 2 | "The face was etched with symbols Quinn recognised — protective sigils she’d seen in Eva’s reference books." | | 3 | "Eva held up a small, white object — a finger bone, carved with the same crescent moon sigil." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 674 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.03857566765578635 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01483679525222552 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 10.91 | | std | 7.74 | | cv | 0.71 | | sampleLengths | | 0 | 15 | | 1 | 1 | | 2 | 25 | | 3 | 12 | | 4 | 19 | | 5 | 12 | | 6 | 16 | | 7 | 14 | | 8 | 17 | | 9 | 12 | | 10 | 14 | | 11 | 10 | | 12 | 13 | | 13 | 10 | | 14 | 12 | | 15 | 1 | | 16 | 4 | | 17 | 1 | | 18 | 15 | | 19 | 3 | | 20 | 7 | | 21 | 1 | | 22 | 7 | | 23 | 11 | | 24 | 18 | | 25 | 15 | | 26 | 8 | | 27 | 4 | | 28 | 11 | | 29 | 15 | | 30 | 7 | | 31 | 5 | | 32 | 7 | | 33 | 21 | | 34 | 13 | | 35 | 17 | | 36 | 1 | | 37 | 1 | | 38 | 10 | | 39 | 9 | | 40 | 3 | | 41 | 3 | | 42 | 2 | | 43 | 18 | | 44 | 31 | | 45 | 9 | | 46 | 13 | | 47 | 5 | | 48 | 6 | | 49 | 11 |
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| 74.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4636363636363636 | | totalSentences | 110 | | uniqueOpeners | 51 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Somewhere deep in the abandoned" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 66 | | matches | | 0 | "His eyes stared at nothing," | | 1 | "she said, more to herself" | | 2 | "He’d been laid out like" | | 3 | "She gestured without touching" | | 4 | "She pulled out her torch" | | 5 | "she said softly" | | 6 | "She played the torch across" | | 7 | "She pulled on latex gloves" | | 8 | "She clutched her worn leather" | | 9 | "She nodded, breathing hard" | | 10 | "She knelt beside the circle," | | 11 | "Her fingers twitched as if" | | 12 | "she said quietly" | | 13 | "She pointed at a smudged" | | 14 | "She turned to face the" | | 15 | "she said softly" | | 16 | "She holstered her weapon." |
| | ratio | 0.258 | |
| 13.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 66 | | matches | | 0 | "The bare bulb hanging from" | | 1 | "Harlow Quinn stood with her" | | 2 | "Something sweet and chemical that" | | 3 | "The body lay sprawled across" | | 4 | "His eyes stared at nothing," | | 5 | "Quinn circled the body slowly," | | 6 | "The old station had been" | | 7 | "Tea lights lined the platform" | | 8 | "A circle had been drawn" | | 9 | "she said, more to herself" | | 10 | "Dawes shifted his weight." | | 11 | "Quinn crouched, close enough to" | | 12 | "He’d been laid out like" | | 13 | "She gestured without touching" | | 14 | "The station fell quiet except" | | 15 | "Quinn straightened and turned to" | | 16 | "Arcane symbols, roughly drawn." | | 17 | "Something that made the fine" | | 18 | "Dawes’s silence told her everything." | | 19 | "She pulled out her torch" |
| | ratio | 0.894 | |
| 75.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 66 | | matches | | 0 | "If he’d fallen, there should" |
| | ratio | 0.015 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "Male, mid-thirties, dressed in a cheap suit that had seen better days." | | 1 | "Something that made the fine hairs on the back of her neck stand at attention." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, more to herself than Dawes" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0 | | effectiveRatio | 0 | |