| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice shook only [only]" |
| | dialogueSentences | 66 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0.037 | | effectiveRatio | 0.03 | |
| 81.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1595 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "really" | | 1 | "suddenly" | | 2 | "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) | |
| 65.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1595 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "lilt" | | 1 | "pulse" | | 2 | "velvet" | | 3 | "electric" | | 4 | "traced" | | 5 | "shattered" | | 6 | "perfect" | | 7 | "desire" | | 8 | "gleaming" |
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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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 122 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1593 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 1 | | matches | | 0 | "Outside, Evan laughed." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1128 | | uniqueNames | 11 | | maxNameDensity | 0.8 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Eva | 1 | | Marseille | 1 | | Golden | 1 | | Empress | 1 | | Silas | 1 | | Lucien | 9 | | Cardiff | 1 | | Evan | 3 | | Aurora | 9 | | Ptolemy | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Lucien" | | 4 | "Evan" | | 5 | "Aurora" | | 6 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "Golden" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | 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 | 1593 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 161 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 21.24 | | std | 14.68 | | cv | 0.691 | | sampleLengths | | 0 | 8 | | 1 | 63 | | 2 | 6 | | 3 | 24 | | 4 | 26 | | 5 | 31 | | 6 | 41 | | 7 | 26 | | 8 | 17 | | 9 | 27 | | 10 | 37 | | 11 | 42 | | 12 | 20 | | 13 | 58 | | 14 | 38 | | 15 | 37 | | 16 | 11 | | 17 | 27 | | 18 | 5 | | 19 | 26 | | 20 | 38 | | 21 | 15 | | 22 | 24 | | 23 | 10 | | 24 | 5 | | 25 | 15 | | 26 | 32 | | 27 | 19 | | 28 | 35 | | 29 | 36 | | 30 | 3 | | 31 | 21 | | 32 | 6 | | 33 | 2 | | 34 | 63 | | 35 | 12 | | 36 | 38 | | 37 | 1 | | 38 | 11 | | 39 | 8 | | 40 | 39 | | 41 | 16 | | 42 | 54 | | 43 | 19 | | 44 | 12 | | 45 | 17 | | 46 | 20 | | 47 | 18 | | 48 | 35 | | 49 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 198 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 161 | | ratio | 0.006 | | matches | | 0 | "His mismatched eyes—one amber, one black—settled on her." |
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| 96.49% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1136 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.04401408450704225 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.011443661971830986 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 9.89 | | std | 6.12 | | cv | 0.618 | | sampleLengths | | 0 | 8 | | 1 | 27 | | 2 | 20 | | 3 | 16 | | 4 | 6 | | 5 | 14 | | 6 | 10 | | 7 | 6 | | 8 | 13 | | 9 | 7 | | 10 | 15 | | 11 | 14 | | 12 | 2 | | 13 | 30 | | 14 | 8 | | 15 | 3 | | 16 | 13 | | 17 | 13 | | 18 | 13 | | 19 | 4 | | 20 | 11 | | 21 | 11 | | 22 | 5 | | 23 | 10 | | 24 | 9 | | 25 | 18 | | 26 | 5 | | 27 | 13 | | 28 | 19 | | 29 | 4 | | 30 | 1 | | 31 | 16 | | 32 | 4 | | 33 | 11 | | 34 | 16 | | 35 | 31 | | 36 | 8 | | 37 | 9 | | 38 | 21 | | 39 | 18 | | 40 | 19 | | 41 | 5 | | 42 | 6 | | 43 | 23 | | 44 | 4 | | 45 | 5 | | 46 | 7 | | 47 | 19 | | 48 | 6 | | 49 | 12 |
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| 67.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.422360248447205 | | totalSentences | 161 | | uniqueOpeners | 68 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 112 | | matches | | 0 | "Instead she stepped back, pulse" | | 1 | "Then a voice filtered through" |
| | ratio | 0.018 | |
| 48.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 112 | | matches | | 0 | "His voice carried the faint" | | 1 | "She wanted to slam the" | | 2 | "He crossed the threshold without" | | 3 | "His mismatched eyes—one amber, one" | | 4 | "She folded her arms, aware" | | 5 | "She shut the door harder" | | 6 | "He set the cane against" | | 7 | "She had meant it." | | 8 | "She moved to the tiny" | | 9 | "He followed, stopping just short" | | 10 | "His voice dropped, velvet over" | | 11 | "She laughed, short and bitter." | | 12 | "He reached out, fingers hovering" | | 13 | "His heterochromatic gaze held hers" | | 14 | "He stepped closer" | | 15 | "She did not move to" | | 16 | "His breath stirred the fine" | | 17 | "They stood inches apart." | | 18 | "His platinum hair had slipped" | | 19 | "Her voice shook only a" |
| | ratio | 0.429 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 112 | | matches | | 0 | "The deadbolts slid back with" | | 1 | "Aurora stood in the doorway," | | 2 | "Lucien Moreau filled the narrow" | | 3 | "The scent of bergamot and" | | 4 | "The word left her flat" | | 5 | "His voice carried the faint" | | 6 | "She wanted to slam the" | | 7 | "He crossed the threshold without" | | 8 | "Ptolemy shot from under the" | | 9 | "Lucien surveyed the cramped room," | | 10 | "His mismatched eyes—one amber, one" | | 11 | "She folded her arms, aware" | | 12 | "A ghost of a smile" | | 13 | "She shut the door harder" | | 14 | "The flat felt smaller with" | | 15 | "He set the cane against" | | 16 | "The thin blade inside it" | | 17 | "Heat crawled up her neck." | | 18 | "That night outside Silas's bar," | | 19 | "The rain, the argument, the" |
| | ratio | 0.946 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 2 | | matches | | 0 | "The flat smelled of old paper and curry from downstairs and him, that damn cologne that had lingered on her pillow for weeks after he disappeared." | | 1 | "The amber one held something softer, something that looked dangerously like the future." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 1 | | matches | | 0 | "His voice had, dangerous" |
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| 89.39% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "He spoke (speak)" | | 2 | "he repeated (repeat)" | | 3 | "he murmured (murmur)" |
| | dialogueSentences | 66 | | tagDensity | 0.076 | | leniency | 0.152 | | rawRatio | 0.8 | | effectiveRatio | 0.121 | |