| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.452 | | leniency | 0.905 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 70.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1182 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "perfectly" | | 1 | "carefully" | | 2 | "very" | | 3 | "truly" | | 4 | "gently" |
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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) | |
| 19.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1182 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "casual indifference" | | count | 1 |
| | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "silence" | | 1 | "navigating" | | 2 | "warmth" | | 3 | "silk" | | 4 | "rhythmic" | | 5 | "scanning" | | 6 | "weight" | | 7 | "casual indifference" | | 8 | "unwavering" | | 9 | "could feel" | | 10 | "stomach" | | 11 | "electric" | | 12 | "whisper" | | 13 | "raced" | | 14 | "beacon" | | 15 | "tracing" | | 16 | "chilling" | | 17 | "constructed" |
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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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1174 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 777 | | uniqueNames | 8 | | maxNameDensity | 0.9 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Moreau | 1 | | French | 1 | | Rory | 3 | | Brussels | 1 | | Ptolemy | 2 | | Lucien | 7 | | Evan | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like medieval tax records, his gre" |
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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 | 1174 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 33.54 | | std | 21.36 | | cv | 0.637 | | sampleLengths | | 0 | 43 | | 1 | 61 | | 2 | 71 | | 3 | 12 | | 4 | 11 | | 5 | 34 | | 6 | 60 | | 7 | 21 | | 8 | 14 | | 9 | 44 | | 10 | 10 | | 11 | 33 | | 12 | 12 | | 13 | 67 | | 14 | 25 | | 15 | 36 | | 16 | 25 | | 17 | 36 | | 18 | 28 | | 19 | 17 | | 20 | 12 | | 21 | 74 | | 22 | 42 | | 23 | 41 | | 24 | 20 | | 25 | 41 | | 26 | 48 | | 27 | 3 | | 28 | 81 | | 29 | 5 | | 30 | 62 | | 31 | 43 | | 32 | 11 | | 33 | 21 | | 34 | 10 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 72 | | matches | | 0 | "were supposed" | | 1 | "been fascinated" |
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| 24.56% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 114 | | matches | | 0 | "was bristling" | | 1 | "was hiding" | | 2 | "was crumbling" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 93 | | ratio | 0.011 | | matches | | 0 | "Cardiff, her parents, Evan—it was all just a prologue to a story she didn't know she was in." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 783 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.03065134099616858 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007662835249042145 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 12.62 | | std | 8.01 | | cv | 0.634 | | sampleLengths | | 0 | 12 | | 1 | 9 | | 2 | 22 | | 3 | 11 | | 4 | 22 | | 5 | 8 | | 6 | 1 | | 7 | 1 | | 8 | 18 | | 9 | 14 | | 10 | 26 | | 11 | 19 | | 12 | 12 | | 13 | 3 | | 14 | 6 | | 15 | 3 | | 16 | 3 | | 17 | 8 | | 18 | 17 | | 19 | 17 | | 20 | 12 | | 21 | 20 | | 22 | 15 | | 23 | 13 | | 24 | 17 | | 25 | 4 | | 26 | 9 | | 27 | 5 | | 28 | 18 | | 29 | 17 | | 30 | 9 | | 31 | 6 | | 32 | 4 | | 33 | 20 | | 34 | 13 | | 35 | 6 | | 36 | 6 | | 37 | 22 | | 38 | 6 | | 39 | 13 | | 40 | 26 | | 41 | 13 | | 42 | 12 | | 43 | 21 | | 44 | 15 | | 45 | 8 | | 46 | 17 | | 47 | 17 | | 48 | 19 | | 49 | 20 |
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| 73.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4838709677419355 | | totalSentences | 93 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 34.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 67 | | matches | | 0 | "She placed the toast back" | | 1 | "She peered through the peephole," | | 2 | "Her breath hitched." | | 3 | "Her fingers fumbled with the" | | 4 | "She pulled the door open" | | 5 | "His suit was immaculate, his" | | 6 | "His voice was a low," | | 7 | "He smiled, a slight, mocking" | | 8 | "He tapped his cane on" | | 9 | "His amber eye drifted past" | | 10 | "she shot back" | | 11 | "He took a step forward," | | 12 | "She held it, her chin" | | 13 | "It was the same scent" | | 14 | "she said, her voice low" | | 15 | "He leaned his weight on" | | 16 | "she said, her gaze unwavering" | | 17 | "He dismissed their last, disastrous" | | 18 | "She could feel Ptolemy brush" | | 19 | "His mismatched eyes, one fire" |
| | ratio | 0.463 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 67 | | matches | | 0 | "The three deadbolts on Eva’s" | | 1 | "A physical barrier against the" | | 2 | "Rory paused, a half-eaten slice" | | 3 | "Ptolemy, Eva’s fat tabby cat," | | 4 | "The knock came again, three" | | 5 | "The kind of knock that" | | 6 | "She placed the toast back" | | 7 | "The floorboards creaked under her" | | 8 | "The air smelled of old" | | 9 | "She peered through the peephole," | | 10 | "A charcoal-grey suit." | | 11 | "A flash of platinum blond" | | 12 | "An ivory-handled cane." | | 13 | "Her breath hitched." | | 14 | "Her fingers fumbled with the" | | 15 | "She pulled the door open" | | 16 | "Lucien Moreau stood in the" | | 17 | "His suit was immaculate, his" | | 18 | "The other, a pit of" | | 19 | "His voice was a low," |
| | ratio | 0.955 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "The floorboards creaked under her bare feet as she crossed the cramped living room, navigating towers of books that threatened to topple with the slightest trem…" | | 1 | "His suit was immaculate, his platinum hair slicked back from a face that was all sharp angles and cruel beauty." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 7 | | matches | | 0 | "she said, her voice low" | | 1 | "He leaned, the picture of casual indifference" | | 2 | "she said, her gaze unwavering" | | 3 | "She could, a low rumble starting in his chest" | | 4 | "He leaned, his voice dropping to a conspiratorial whisper" | | 5 | "Lucien straightened up, his hand falling away from her face" | | 6 | "she managed, her voice cracking" |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Lucien corrected (correct)" | | 1 | "she whispered (whisper)" | | 2 | "she managed (manage)" |
| | dialogueSentences | 42 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.5 | | effectiveRatio | 0.143 | |