| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.024 | | leniency | 0.049 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1056 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "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) | |
| 43.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1056 | | totalAiIsms | 12 | | found | | 0 | | word | "carried the weight" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "carried the weight" | | 1 | "warmth" | | 2 | "rhythmic" | | 3 | "flickered" | | 4 | "firmly" | | 5 | "tension" | | 6 | "tracing" | | 7 | "resolve" | | 8 | "comfortable" | | 9 | "sanctuary" | | 10 | "silence" | | 11 | "echoed" |
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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 | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1056 | | ratio | 0.005 | | matches | | 0 | "The debt is due, Laila." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 714 | | uniqueNames | 4 | | maxNameDensity | 1.4 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Moreau | 1 | | Aurora | 10 | | London | 1 | | Lucien | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Aurora" | | 2 | "Lucien" |
| | places | | | globalScore | 0.8 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like dried blood" |
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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 | 1056 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 17.03 | | std | 16.48 | | cv | 0.968 | | sampleLengths | | 0 | 18 | | 1 | 37 | | 2 | 4 | | 3 | 21 | | 4 | 14 | | 5 | 8 | | 6 | 45 | | 7 | 47 | | 8 | 10 | | 9 | 9 | | 10 | 10 | | 11 | 51 | | 12 | 3 | | 13 | 6 | | 14 | 1 | | 15 | 48 | | 16 | 4 | | 17 | 14 | | 18 | 6 | | 19 | 5 | | 20 | 19 | | 21 | 32 | | 22 | 5 | | 23 | 34 | | 24 | 1 | | 25 | 10 | | 26 | 3 | | 27 | 10 | | 28 | 58 | | 29 | 5 | | 30 | 1 | | 31 | 3 | | 32 | 13 | | 33 | 12 | | 34 | 8 | | 35 | 13 | | 36 | 42 | | 37 | 3 | | 38 | 15 | | 39 | 5 | | 40 | 69 | | 41 | 12 | | 42 | 10 | | 43 | 2 | | 44 | 4 | | 45 | 4 | | 46 | 9 | | 47 | 28 | | 48 | 2 | | 49 | 3 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 59 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 121 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 100 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 385 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 10 | | adverbRatio | 0.025974025974025976 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0025974025974025974 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 10.56 | | std | 5.91 | | cv | 0.559 | | sampleLengths | | 0 | 18 | | 1 | 16 | | 2 | 21 | | 3 | 4 | | 4 | 3 | | 5 | 18 | | 6 | 14 | | 7 | 8 | | 8 | 6 | | 9 | 11 | | 10 | 28 | | 11 | 10 | | 12 | 9 | | 13 | 14 | | 14 | 14 | | 15 | 10 | | 16 | 9 | | 17 | 10 | | 18 | 7 | | 19 | 10 | | 20 | 15 | | 21 | 19 | | 22 | 3 | | 23 | 6 | | 24 | 1 | | 25 | 12 | | 26 | 5 | | 27 | 17 | | 28 | 7 | | 29 | 7 | | 30 | 4 | | 31 | 14 | | 32 | 6 | | 33 | 5 | | 34 | 19 | | 35 | 18 | | 36 | 14 | | 37 | 5 | | 38 | 8 | | 39 | 8 | | 40 | 18 | | 41 | 1 | | 42 | 10 | | 43 | 3 | | 44 | 10 | | 45 | 14 | | 46 | 8 | | 47 | 11 | | 48 | 14 | | 49 | 11 |
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| 40.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.32 | | totalSentences | 100 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 6.21% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 58 | | matches | | 0 | "He leaned slightly on his" | | 1 | "She kept her hand gripped" | | 2 | "He didn't wait for an" | | 3 | "He stepped forward, forcing her" | | 4 | "He smelled of expensive sandalwood" | | 5 | "She watched him survey the" | | 6 | "It was a small, cluttered" | | 7 | "He paused by a stack" | | 8 | "He closed the distance between" | | 9 | "He was taller than she" | | 10 | "He stopped just inches away," | | 11 | "He reached out, his long" | | 12 | "She wanted to slap his" | | 13 | "She wanted to lean into" | | 14 | "He walked toward the window," | | 15 | "He stared out at the" | | 16 | "He moved closer again, this" | | 17 | "He didn't use his hands," | | 18 | "He lowered his head, his" | | 19 | "His hand slid from the" |
| | ratio | 0.534 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 58 | | matches | | 0 | "The lock clicked, and the" | | 1 | "Lucien Moreau stood in the" | | 2 | "He leaned slightly on his" | | 3 | "Aurora didn't move." | | 4 | "She kept her hand gripped" | | 5 | "He didn't wait for an" | | 6 | "He stepped forward, forcing her" | | 7 | "He smelled of expensive sandalwood" | | 8 | "Aurora stepped back, her heels" | | 9 | "She watched him survey the" | | 10 | "It was a small, cluttered" | | 11 | "He paused by a stack" | | 12 | "Lucien turned, the movement fluid" | | 13 | "He closed the distance between" | | 14 | "He was taller than she" | | 15 | "He stopped just inches away," | | 16 | "He reached out, his long" | | 17 | "Aurora froze, her breath hitching." | | 18 | "The touch was light, almost" | | 19 | "She wanted to slap his" |
| | ratio | 0.966 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "He smelled of expensive sandalwood and old libraries, a scent that triggered a sudden, violent memory of rain-slicked streets and a goodbye that sounded more li…" | | 1 | "Aurora could hear the thrum of his heart, a steady, slow beat that sounded less human than the rest of him." | | 2 | "Aurora felt her resolve crumbling, the old attraction pulling at her like a tide." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |