| 83.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "he finally said [finally]" | | 1 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 24 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0.133 | | effectiveRatio | 0.133 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 763 | | 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) | |
| 54.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 763 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "echoed" | | 1 | "pulsed" | | 2 | "velvet" | | 3 | "tension" | | 4 | "stomach" | | 5 | "whisper" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 38 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 38 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 46 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 762 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 499 | | uniqueNames | 4 | | maxNameDensity | 1.2 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Lucien | 2 | | Moreau | 1 | | Ptolemy | 1 | | Aurora | 6 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Aurora" |
| | places | | | globalScore | 0.899 | | windowScore | 1 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed louder than the rain outside" |
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| 68.77% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.312 | | wordCount | 762 | | matches | | 0 | "not for hers, but for the locket" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 62.51% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 58.62 | | std | 21.62 | | cv | 0.369 | | sampleLengths | | 0 | 94 | | 1 | 71 | | 2 | 49 | | 3 | 80 | | 4 | 25 | | 5 | 56 | | 6 | 24 | | 7 | 58 | | 8 | 53 | | 9 | 72 | | 10 | 32 | | 11 | 60 | | 12 | 88 |
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| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 38 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 78 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 46 | | ratio | 0.065 | | matches | | 0 | "He didn’t answer immediately, his gaze lingering on the clutter of her life—the maps of ley lines pinned to the walls, the half-empty mugs of tea, the worn leather journal open on the coffee table." | | 1 | "The attraction, the hurt, the things left unsaid – they swirled together, a dangerous cocktail." | | 2 | "She took a deep breath, the scent of him – leather, rain, something ancient and dangerous – filling her lungs." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 500 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, velvet-lined box" |
| | adverbCount | 12 | | adverbRatio | 0.024 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 46 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 46 | | mean | 16.57 | | std | 10.04 | | cv | 0.606 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 15 | | 3 | 18 | | 4 | 24 | | 5 | 12 | | 6 | 9 | | 7 | 34 | | 8 | 28 | | 9 | 3 | | 10 | 15 | | 11 | 8 | | 12 | 23 | | 13 | 35 | | 14 | 18 | | 15 | 6 | | 16 | 21 | | 17 | 9 | | 18 | 16 | | 19 | 14 | | 20 | 22 | | 21 | 20 | | 22 | 3 | | 23 | 19 | | 24 | 2 | | 25 | 15 | | 26 | 28 | | 27 | 15 | | 28 | 15 | | 29 | 38 | | 30 | 12 | | 31 | 44 | | 32 | 16 | | 33 | 10 | | 34 | 15 | | 35 | 4 | | 36 | 3 | | 37 | 11 | | 38 | 42 | | 39 | 7 | | 40 | 13 | | 41 | 16 | | 42 | 20 | | 43 | 20 | | 44 | 16 | | 45 | 3 |
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| 80.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5217391304347826 | | totalSentences | 46 | | uniqueOpeners | 24 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 37 | | matches | | 0 | "Instead, Lucien Moreau stood there," |
| | ratio | 0.027 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 37 | | matches | | 0 | "She pushed the door open," | | 1 | "His gaze swept the tiny" | | 2 | "he said, his voice smooth" | | 3 | "He stepped inside, closing the" | | 4 | "She crossed her arms, trying" | | 5 | "Her voice was cool, but" | | 6 | "He didn’t answer immediately, his" | | 7 | "he finally said, pulling a" | | 8 | "He placed it on the" | | 9 | "he replied, a ghost of" | | 10 | "He leaned against the doorframe," | | 11 | "he countered, his voice dropping" | | 12 | "He gestured vaguely towards the" | | 13 | "She took a step closer," | | 14 | "She couldn’t finish, the memory" | | 15 | "he said, his amber eye" | | 16 | "He paused, searching her face" | | 17 | "He straightened, his posture shifting" | | 18 | "He held out his hand," | | 19 | "She took a deep breath," |
| | ratio | 0.568 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 37 | | matches | | 0 | "The brass knocker echoed like" | | 1 | "Aurora froze, her hand tightening" | | 2 | "She pushed the door open," | | 3 | "His gaze swept the tiny" | | 4 | "he said, his voice smooth" | | 5 | "He stepped inside, closing the" | | 6 | "Ptolemy, the tabby cat, leapt" | | 7 | "Aurora’s breath hitched." | | 8 | "The scar on her left" | | 9 | "She crossed her arms, trying" | | 10 | "Her voice was cool, but" | | 11 | "He didn’t answer immediately, his" | | 12 | "he finally said, pulling a" | | 13 | "He placed it on the" | | 14 | "Aurora’s fingers twitched towards the" | | 15 | "The accusation hung in the" | | 16 | "he replied, a ghost of" | | 17 | "He leaned against the doorframe," | | 18 | "Aurora’s eyes narrowed." | | 19 | "The words were sharp, cutting" |
| | ratio | 0.946 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 1 | | matches | | 0 | "Aurora froze, her hand tightening on the handle of the wok she’d been wiping." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, his voice smooth as aged brandy" | | 1 | "he replied, a ghost of a smile touching his lips" | | 2 | "he countered, his voice dropping to a lower, more intimate register" | | 3 | "she asked, her voice barely a whisper, but steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 24 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.167 | | effectiveRatio | 0.083 | |