| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 57 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0.067 | | effectiveRatio | 0.035 | |
| 80.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1788 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "really" | | 3 | "carefully" | | 4 | "softly" | | 5 | "slowly" |
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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) | |
| 41.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1788 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "spectral" | | 1 | "weight" | | 2 | "measured" | | 3 | "stomach" | | 4 | "trembled" | | 5 | "tension" | | 6 | "chaotic" | | 7 | "silence" | | 8 | "unreadable" | | 9 | "raced" | | 10 | "fragmented" | | 11 | "implication" | | 12 | "flicker" | | 13 | "navigating" | | 14 | "pawn" | | 15 | "could feel" | | 16 | "throb" | | 17 | "whisper" | | 18 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 107 | | matches | (empty) | |
| 62.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "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 | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1779 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1177 | | uniqueNames | 11 | | maxNameDensity | 0.76 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 6 | | Brick | 2 | | Lane | 2 | | Ptolemy | 5 | | British | 1 | | Library | 1 | | French | 1 | | Avaros | 1 | | Lucien | 9 | | Moreau | 1 | | Malphas | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Malphas" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "British" | | 3 | "Library" | | 4 | "Avaros" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.562 | | wordCount | 1779 | | matches | | 0 | "not impatient, but insistent" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 25.06 | | std | 21.17 | | cv | 0.845 | | sampleLengths | | 0 | 75 | | 1 | 9 | | 2 | 40 | | 3 | 11 | | 4 | 27 | | 5 | 42 | | 6 | 1 | | 7 | 86 | | 8 | 4 | | 9 | 48 | | 10 | 14 | | 11 | 65 | | 12 | 1 | | 13 | 35 | | 14 | 12 | | 15 | 26 | | 16 | 3 | | 17 | 5 | | 18 | 35 | | 19 | 25 | | 20 | 34 | | 21 | 40 | | 22 | 27 | | 23 | 25 | | 24 | 4 | | 25 | 29 | | 26 | 25 | | 27 | 40 | | 28 | 2 | | 29 | 28 | | 30 | 15 | | 31 | 9 | | 32 | 1 | | 33 | 35 | | 34 | 50 | | 35 | 13 | | 36 | 3 | | 37 | 3 | | 38 | 23 | | 39 | 12 | | 40 | 2 | | 41 | 74 | | 42 | 22 | | 43 | 8 | | 44 | 19 | | 45 | 37 | | 46 | 44 | | 47 | 40 | | 48 | 3 | | 49 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 107 | | matches | | 0 | "being dismissed" | | 1 | "being brushed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 187 | | matches | (empty) | |
| 45.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 146 | | ratio | 0.034 | | matches | | 0 | "Since he’d turned those heterochromatic eyes—one amber, one pitch black—away from her and said, “Then perhaps you should go, Aurora.”" | | 1 | "His amber eye caught the weak light from the flat; the black one was a depthless pool." | | 2 | "His voice was the same—a low, smooth baritone with the faintest trace of a French accent clinging to the vowels." | | 3 | "She studied his face—the elegant lines, the unfamiliar shadows under his eyes." | | 4 | "The memory of his touch, the sound of his laugh, the late nights planning over cups of bitter coffee—it all rushed back, a tidal wave she’d spent months building a dam against." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1186 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.03794266441821248 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.011804384485666104 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 12.18 | | std | 9.05 | | cv | 0.743 | | sampleLengths | | 0 | 28 | | 1 | 25 | | 2 | 22 | | 3 | 9 | | 4 | 3 | | 5 | 13 | | 6 | 10 | | 7 | 4 | | 8 | 10 | | 9 | 8 | | 10 | 3 | | 11 | 18 | | 12 | 9 | | 13 | 13 | | 14 | 19 | | 15 | 10 | | 16 | 1 | | 17 | 3 | | 18 | 13 | | 19 | 2 | | 20 | 24 | | 21 | 24 | | 22 | 20 | | 23 | 4 | | 24 | 10 | | 25 | 8 | | 26 | 8 | | 27 | 8 | | 28 | 14 | | 29 | 14 | | 30 | 10 | | 31 | 10 | | 32 | 17 | | 33 | 28 | | 34 | 1 | | 35 | 5 | | 36 | 20 | | 37 | 10 | | 38 | 6 | | 39 | 6 | | 40 | 17 | | 41 | 9 | | 42 | 3 | | 43 | 5 | | 44 | 18 | | 45 | 17 | | 46 | 18 | | 47 | 7 | | 48 | 16 | | 49 | 17 |
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| 39.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.3219178082191781 | | totalSentences | 146 | | uniqueOpeners | 47 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 102 | | matches | | 0 | "Then he turned and let" | | 1 | "Slowly, she slid each one" |
| | ratio | 0.02 | |
| 55.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 102 | | matches | | 0 | "She eased her feet out" | | 1 | "Her breath hitched." | | 2 | "She hadn’t gone back." | | 3 | "Her hand trembled as it" | | 4 | "She fumbled with it, the" | | 5 | "She opened the door just" | | 6 | "His amber eye caught the" | | 7 | "He leaned slightly on his" | | 8 | "He used the old nickname." | | 9 | "His voice was the same—a" | | 10 | "It did things to her" | | 11 | "Her own voice sounded thin" | | 12 | "His gaze moved past her," | | 13 | "He stepped over the threshold," | | 14 | "He glanced around at the" | | 15 | "She crossed her arms, leaning" | | 16 | "He took a step closer" | | 17 | "He looked away then, a" | | 18 | "His gaze returned to hers," | | 19 | "She saw the fatigue beneath," |
| | ratio | 0.412 | |
| 23.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 102 | | matches | | 0 | "The rain was just beginning" | | 1 | "Aurora was elbow-deep in a" | | 2 | "The smell of curry from" | | 3 | "Ptolemy’s ears twitched." | | 4 | "Rory froze, a photocopy of" | | 5 | "Eva wasn’t due back from" | | 6 | "Nobody else came here." | | 7 | "Eva had three deadbolts on" | | 8 | "The knocking came again, not" | | 9 | "A measured *tap-tap-tap*." | | 10 | "She eased her feet out" | | 11 | "The fisheye lens distorted the" | | 12 | "The tailored line of a" | | 13 | "Her breath hitched." | | 14 | "A cold knot formed in" | | 15 | "She hadn’t gone back." | | 16 | "Her hand trembled as it" | | 17 | "The click was loud in" | | 18 | "The second bolt slid back" | | 19 | "The third required a key" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 1 | | matches | | 0 | "She thought of Lucien, standing in her doorway, apologizing, asking." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "His gaze returned, and the mask cracked further" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.018 | | leniency | 0.035 | | rawRatio | 0 | | effectiveRatio | 0 | |