| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 475 | | 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) | |
| 36.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 475 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "pulse" | | 2 | "traced" | | 3 | "could feel" |
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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 | 28 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 28 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 35 | | 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 | 1 | | markdownWords | 1 | | totalWords | 465 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 6 | | wordCount | 379 | | uniqueNames | 5 | | maxNameDensity | 0.53 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 1 | | Carter | 1 | | Rory | 1 | | Lucien | 2 | | Moreau | 1 |
| | persons | | 0 | "Eva" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Moreau" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 23 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 465 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 35 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 33.21 | | std | 21.16 | | cv | 0.637 | | sampleLengths | | 0 | 71 | | 1 | 71 | | 2 | 8 | | 3 | 44 | | 4 | 12 | | 5 | 25 | | 6 | 48 | | 7 | 35 | | 8 | 25 | | 9 | 6 | | 10 | 33 | | 11 | 52 | | 12 | 6 | | 13 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 28 | | matches | (empty) | |
| 17.35% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 73 | | matches | | 0 | "was thinking, was measuring" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 35 | | ratio | 0.114 | | matches | | 0 | "The deadbolts clicked shut behind him—three times, just like they always had—before he turned, his gaze flicking over the cluttered shelves, the half-empty mug of tea steaming on the counter." | | 1 | "Aurora Carter—Rory, to her friends—was already moving, her fingers brushing the scar on her wrist before she even registered the man’s presence." | | 2 | "But the scent of him—woodsmoke and something sharper, like old wine left too long in the sun—still clung to him, and her pulse kicked against her ribs like a trapped thing." | | 3 | "The cane he carried—ivory, smooth, deadly—rested against the wall beside him." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 389 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.038560411311053984 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.002570694087403599 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 35 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 35 | | mean | 13.29 | | std | 8.5 | | cv | 0.64 | | sampleLengths | | 0 | 23 | | 1 | 30 | | 2 | 16 | | 3 | 2 | | 4 | 22 | | 5 | 11 | | 6 | 7 | | 7 | 31 | | 8 | 8 | | 9 | 11 | | 10 | 29 | | 11 | 4 | | 12 | 6 | | 13 | 6 | | 14 | 17 | | 15 | 8 | | 16 | 10 | | 17 | 5 | | 18 | 27 | | 19 | 6 | | 20 | 7 | | 21 | 11 | | 22 | 17 | | 23 | 14 | | 24 | 11 | | 25 | 3 | | 26 | 3 | | 27 | 7 | | 28 | 26 | | 29 | 14 | | 30 | 11 | | 31 | 27 | | 32 | 6 | | 33 | 18 | | 34 | 11 |
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| 70.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.45714285714285713 | | totalSentences | 35 | | uniqueOpeners | 16 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 26 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 26 | | matches | | 0 | "She had spent years telling" | | 1 | "she said, voice low, edges" | | 2 | "His fingers traced the ink," | | 3 | "She exhaled, slow, through her" | | 4 | "He set the ledger aside," | | 5 | "She’d written him a letter." | | 6 | "she said, stepping closer" | | 7 | "She could feel the weight" | | 8 | "His voice was a rasp," | | 9 | "Her breath hitched." | | 10 | "His smile was a blade" | | 11 | "He just watched her, his" | | 12 | "He stepped forward, close enough" |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 24 | | totalSentences | 26 | | matches | | 0 | "The front door of Eva’s" | | 1 | "The deadbolts clicked shut behind" | | 2 | "*Ptolemy*, the tabby cat, hissed" | | 3 | "Aurora Carter—Rory, to her friends—was" | | 4 | "She had spent years telling" | | 5 | "That she could survive without" | | 6 | "she said, voice low, edges" | | 7 | "Lucien Moreau didn’t look up" | | 8 | "His fingers traced the ink," | | 9 | "She exhaled, slow, through her" | | 10 | "He set the ledger aside," | | 11 | "The words hit her like" | | 12 | "She’d written him a letter." | | 13 | "A letter she’d burned, then" | | 14 | "she said, stepping closer" | | 15 | "The cane he carried—ivory, smooth," | | 16 | "She could feel the weight" | | 17 | "His voice was a rasp," | | 18 | "Her breath hitched." | | 19 | "His smile was a blade" |
| | ratio | 0.923 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 26 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 14 | | technicalSentenceCount | 3 | | matches | | 0 | "The front door of Eva’s flat groaned under the weight of the man who stood there, his boots scuffing against the worn linoleum." | | 1 | "The deadbolts clicked shut behind him—three times, just like they always had—before he turned, his gaze flicking over the cluttered shelves, the half-empty mug …" | | 2 | "Aurora Carter—Rory, to her friends—was already moving, her fingers brushing the scar on her wrist before she even registered the man’s presence." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice low, edges sharp" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |