| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stepped back [back]" |
| | dialogueSentences | 59 | | tagDensity | 0.186 | | leniency | 0.373 | | rawRatio | 0.091 | | effectiveRatio | 0.034 | |
| 95.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1190 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 74.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1190 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | word | "carried the weight" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "flickered" | | 1 | "carried the weight" | | 2 | "could feel" | | 3 | "pulse" | | 4 | "roaring" | | 5 | "resolve" |
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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 | 71 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | 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 | 5 | | markdownWords | 7 | | totalWords | 1179 | | ratio | 0.006 | | matches | | 0 | "us" | | 1 | "with" | | 2 | "this" | | 3 | "Well" | | 4 | "That was interesting." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 810 | | uniqueNames | 5 | | maxNameDensity | 0.37 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Eva | 2 | | Lucien | 3 | | Should | 3 | | Wanted | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Should" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like smoke and old books" |
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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 | 1179 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 20.33 | | std | 15.38 | | cv | 0.757 | | sampleLengths | | 0 | 11 | | 1 | 1 | | 2 | 45 | | 3 | 38 | | 4 | 31 | | 5 | 54 | | 6 | 40 | | 7 | 8 | | 8 | 45 | | 9 | 10 | | 10 | 16 | | 11 | 9 | | 12 | 22 | | 13 | 50 | | 14 | 16 | | 15 | 6 | | 16 | 6 | | 17 | 46 | | 18 | 35 | | 19 | 8 | | 20 | 12 | | 21 | 40 | | 22 | 3 | | 23 | 2 | | 24 | 6 | | 25 | 43 | | 26 | 11 | | 27 | 7 | | 28 | 12 | | 29 | 34 | | 30 | 7 | | 31 | 51 | | 32 | 14 | | 33 | 27 | | 34 | 2 | | 35 | 23 | | 36 | 8 | | 37 | 4 | | 38 | 39 | | 39 | 30 | | 40 | 9 | | 41 | 2 | | 42 | 8 | | 43 | 6 | | 44 | 1 | | 45 | 9 | | 46 | 35 | | 47 | 34 | | 48 | 21 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 38.38% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 165 | | matches | | 0 | "was giving" | | 1 | "was looking" | | 2 | "was being" | | 3 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 119 | | ratio | 0.067 | | matches | | 0 | "His amber eye gleamed; the black one swallowed the light whole." | | 1 | "Lucien’s gaze swept over the room—books stacked on every surface, scrolls unrolled across the coffee table, the faint scent of curry clinging to the air from the restaurant downstairs." | | 2 | "For the first time, something flickered in his gaze—something raw, something real." | | 3 | "Wanted to do anything but stand there, breathing in the scent of him—expensive cologne and something darker, something that smelled like smoke and old books." | | 4 | "The way he said my name—like it was something precious, something he’d missed—made my chest ache." | | 5 | "But the way he was looking at me—like I was the only person in the world who could fix this—made my resolve waver." | | 6 | "I wanted to laugh, to tell him he was being dramatic, but the look in his eyes—raw, unguarded—stopped me." | | 7 | "But the way he was looking at me—like I was his last hope—made my chest tighten." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 820 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, leather-bound notebook." |
| | adverbCount | 25 | | adverbRatio | 0.03048780487804878 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004878048780487805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 9.91 | | std | 7.88 | | cv | 0.796 | | sampleLengths | | 0 | 11 | | 1 | 1 | | 2 | 15 | | 3 | 11 | | 4 | 19 | | 5 | 6 | | 6 | 6 | | 7 | 26 | | 8 | 31 | | 9 | 18 | | 10 | 15 | | 11 | 21 | | 12 | 29 | | 13 | 10 | | 14 | 1 | | 15 | 4 | | 16 | 4 | | 17 | 28 | | 18 | 7 | | 19 | 10 | | 20 | 10 | | 21 | 9 | | 22 | 7 | | 23 | 5 | | 24 | 4 | | 25 | 15 | | 26 | 7 | | 27 | 41 | | 28 | 9 | | 29 | 12 | | 30 | 4 | | 31 | 6 | | 32 | 6 | | 33 | 5 | | 34 | 3 | | 35 | 25 | | 36 | 13 | | 37 | 16 | | 38 | 2 | | 39 | 12 | | 40 | 5 | | 41 | 4 | | 42 | 4 | | 43 | 10 | | 44 | 2 | | 45 | 16 | | 46 | 10 | | 47 | 2 | | 48 | 2 | | 49 | 10 |
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| 49.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3445378151260504 | | totalSentences | 119 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 65 | | matches | | 0 | "His amber eye gleamed; the" | | 1 | "I should have slammed the" | | 2 | "His voice was smooth, the" | | 3 | "I stepped back, not because" | | 4 | "His lip curled, just slightly," | | 5 | "I crossed my arms." | | 6 | "He turned to face me," | | 7 | "he admitted, tapping his cane" | | 8 | "I laughed, sharp and bitter." | | 9 | "His expression didn’t change, but" | | 10 | "I stepped closer, close enough" | | 11 | "I wanted to hit him." | | 12 | "He reached into his coat," | | 13 | "He pulled out a folded" | | 14 | "I didn’t take it." | | 15 | "I snatched the paper from" | | 16 | "He stepped closer, close enough" | | 17 | "I crumpled the paper in" | | 18 | "His hand closed over mine," | | 19 | "I yanked my hand away." |
| | ratio | 0.585 | |
| 52.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 65 | | matches | | 0 | "The door swung open before" | | 1 | "Lucien Moreau stood in the" | | 2 | "His amber eye gleamed; the" | | 3 | "The ivory handle of his" | | 4 | "I should have slammed the" | | 5 | "His voice was smooth, the" | | 6 | "I stepped back, not because" | | 7 | "The door clicked shut behind" | | 8 | "Ptolemy, her tabby cat, lifted" | | 9 | "Lucien’s gaze swept over the" | | 10 | "His lip curled, just slightly," | | 11 | "I crossed my arms." | | 12 | "He turned to face me," | | 13 | "The night everything had gone" | | 14 | "he admitted, tapping his cane" | | 15 | "I laughed, sharp and bitter." | | 16 | "His expression didn’t change, but" | | 17 | "I stepped closer, close enough" | | 18 | "I wanted to hit him." | | 19 | "He reached into his coat," |
| | ratio | 0.815 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "Wanted to do anything but stand there, breathing in the scent of him—expensive cologne and something darker, something that smelled like smoke and old books." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "He reached, this time pulling out a small, leather-bound notebook" | | 1 | "He turned, his cane tapping against the floor" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 59 | | tagDensity | 0.017 | | leniency | 0.034 | | rawRatio | 1 | | effectiveRatio | 0.034 | |