| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1706 | | 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) | |
| 53.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1706 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "calloused fingers" | | count | 1 |
| | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "pulsed" | | 1 | "resonance" | | 2 | "pulse" | | 3 | "silence" | | 4 | "searing" | | 5 | "calloused fingers" | | 6 | "vibrated" | | 7 | "traced" | | 8 | "silk" |
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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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1704 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1098 | | uniqueNames | 19 | | maxNameDensity | 2.09 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Oxford | 1 | | Yu-Fei | 1 | | Rory | 21 | | Brick | 1 | | Lane | 1 | | Frenchman | 1 | | Latin | 1 | | Lucien | 23 | | Mesopotamian | 1 | | Eva | 3 | | Brendan | 1 | | Carter | 1 | | Cardiff | 1 | | Sunday | 1 | | London | 1 | | Marseille | 1 | | Mayfair | 1 | | Provençal | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Frenchman" | | 3 | "Lucien" | | 4 | "Mesopotamian" | | 5 | "Eva" | | 6 | "Brendan" | | 7 | "Carter" |
| | places | | 0 | "Oxford" | | 1 | "Yu-Fei" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "Cardiff" | | 5 | "London" |
| | globalScore | 0.453 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | 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 | 1704 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 73 | | mean | 23.34 | | std | 14.36 | | cv | 0.615 | | sampleLengths | | 0 | 42 | | 1 | 48 | | 2 | 12 | | 3 | 37 | | 4 | 9 | | 5 | 19 | | 6 | 30 | | 7 | 20 | | 8 | 24 | | 9 | 38 | | 10 | 33 | | 11 | 52 | | 12 | 8 | | 13 | 29 | | 14 | 78 | | 15 | 5 | | 16 | 1 | | 17 | 28 | | 18 | 3 | | 19 | 14 | | 20 | 16 | | 21 | 35 | | 22 | 5 | | 23 | 30 | | 24 | 17 | | 25 | 26 | | 26 | 29 | | 27 | 27 | | 28 | 4 | | 29 | 8 | | 30 | 20 | | 31 | 46 | | 32 | 14 | | 33 | 53 | | 34 | 27 | | 35 | 40 | | 36 | 26 | | 37 | 7 | | 38 | 20 | | 39 | 18 | | 40 | 37 | | 41 | 6 | | 42 | 56 | | 43 | 26 | | 44 | 6 | | 45 | 32 | | 46 | 22 | | 47 | 12 | | 48 | 30 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 61.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 105 | | ratio | 0.029 | | matches | | 0 | "Beneath the bare hallway bulb, his mismatched gaze locked onto hers—one iris burning amber, the other a solid pit of ink-black shadow." | | 1 | "Demon heat radiated from his bare palm—hotter than human blood, searing through skin to the tendons beneath." | | 2 | "Rory's knuckles grazed the fine wool over his sternum; every shallow breath expanded his chest, pressing charcoal suiting against the back of her fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1122 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.004456327985739751 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 16.23 | | std | 8.99 | | cv | 0.554 | | sampleLengths | | 0 | 20 | | 1 | 7 | | 2 | 15 | | 3 | 6 | | 4 | 20 | | 5 | 22 | | 6 | 12 | | 7 | 12 | | 8 | 7 | | 9 | 18 | | 10 | 9 | | 11 | 19 | | 12 | 30 | | 13 | 20 | | 14 | 24 | | 15 | 16 | | 16 | 4 | | 17 | 18 | | 18 | 33 | | 19 | 23 | | 20 | 7 | | 21 | 10 | | 22 | 12 | | 23 | 8 | | 24 | 15 | | 25 | 14 | | 26 | 16 | | 27 | 18 | | 28 | 11 | | 29 | 33 | | 30 | 5 | | 31 | 1 | | 32 | 13 | | 33 | 15 | | 34 | 3 | | 35 | 14 | | 36 | 16 | | 37 | 14 | | 38 | 21 | | 39 | 5 | | 40 | 30 | | 41 | 17 | | 42 | 7 | | 43 | 19 | | 44 | 29 | | 45 | 10 | | 46 | 17 | | 47 | 4 | | 48 | 8 | | 49 | 20 |
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| 88.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5333333333333333 | | totalSentences | 105 | | uniqueOpeners | 56 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 73 | | matches | | 0 | "She pulled the door open" | | 1 | "She snatched the slip from" | | 2 | "Her own block capitals sat" | | 3 | "She released the handle and" | | 4 | "She flattened the singed pink" | | 5 | "He hooked the ivory handle" | | 6 | "She raised her left hand" | | 7 | "Her pulse hammered beneath his" |
| | ratio | 0.11 | |
| 49.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 73 | | matches | | 0 | "Rory twisted the top brass" | | 1 | "She pulled the door open" | | 2 | "October rain and bergamot cut" | | 3 | "Lucien Moreau filled the narrow" | | 4 | "Dampness darkened the shoulders of" | | 5 | "Rory threw her shoulder into" | | 6 | "A polished leather Oxford wedged" | | 7 | "Wood struck bone with a" | | 8 | "Lucien kept his face carved" | | 9 | "Lucien planted his open palm" | | 10 | "Rory braced her hip against" | | 11 | "Lucien slid two fingers inside" | | 12 | "Soot blackened one corner." | | 13 | "Goosebumps prickled along Rory's forearms" | | 14 | "She snatched the slip from" | | 15 | "Sesame oil and burnt sulfur" | | 16 | "Her own block capitals sat" | | 17 | "She released the handle and" | | 18 | "Lucien stepped across the threshold," | | 19 | "Rory shoved the door shut" |
| | ratio | 0.822 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 2 | | matches | | 0 | "A sharp Provençal curse slipped past Lucien's teeth, his gaze dropping to the hollow of her throat before lifting to meet hers." | | 1 | "Lucien inclined his head an inch, his voice dropping to a rough scrape that vibrated through his ribs into her hand." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |