| 50.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 3 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "Lucien said quietly [quietly]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 36 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.15 | | effectiveRatio | 0.15 | |
| 82.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1684 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "softly" | | 3 | "really" | | 4 | "suddenly" |
| |
| 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) | |
| 31.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1684 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "carried the weight" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "weight" | | 1 | "marble" | | 2 | "treacherous" | | 3 | "variable" | | 4 | "reminder" | | 5 | "vibrated" | | 6 | "carried the weight" | | 7 | "whisper" | | 8 | "tension" | | 9 | "calculating" | | 10 | "pristine" | | 11 | "searing" | | 12 | "fluttered" | | 13 | "trembled" | | 14 | "fascinating" | | 15 | "navigate" | | 16 | "charged" | | 17 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "eyes narrowed" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 18 | | totalWords | 1684 | | ratio | 0.011 | | matches | | 0 | "Assessment," | | 1 | "Height: five-eleven. Stance: balanced, weight distributed. Cane: ivory handle, reinforced tip. Threat level: variable. Emotional impact: catastrophic." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1252 | | uniqueNames | 15 | | maxNameDensity | 0.72 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Pre-Law | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 2 | | Moreau | 1 | | Eva | 3 | | Marseille | 2 | | Avaros | 2 | | Lucien | 9 | | Rory | 6 | | Evan | 2 | | London | 2 | | Cardiff | 1 | | East | 1 | | Paris | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Rory" | | 5 | "Evan" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "Avaros" | | 4 | "London" | | 5 | "Cardiff" | | 6 | "East" | | 7 | "Paris" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a sentence waiting for a cont" |
| |
| 81.24% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.188 | | wordCount | 1684 | | matches | | 0 | "not hard enough to bruise, but with a deliberate pressure" | | 1 | "not for the cane, but palm open, fingers elongated" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 99.39% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 41.07 | | std | 20.45 | | cv | 0.498 | | sampleLengths | | 0 | 96 | | 1 | 26 | | 2 | 57 | | 3 | 19 | | 4 | 46 | | 5 | 49 | | 6 | 23 | | 7 | 47 | | 8 | 39 | | 9 | 44 | | 10 | 78 | | 11 | 40 | | 12 | 34 | | 13 | 37 | | 14 | 59 | | 15 | 68 | | 16 | 81 | | 17 | 42 | | 18 | 19 | | 19 | 1 | | 20 | 54 | | 21 | 30 | | 22 | 11 | | 23 | 56 | | 24 | 47 | | 25 | 48 | | 26 | 19 | | 27 | 33 | | 28 | 52 | | 29 | 21 | | 30 | 23 | | 31 | 10 | | 32 | 58 | | 33 | 60 | | 34 | 50 | | 35 | 17 | | 36 | 32 | | 37 | 23 | | 38 | 49 | | 39 | 64 | | 40 | 22 |
| |
| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 102 | | matches | | 0 | "was slicked" | | 1 | "was tailored" |
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| 73.02% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 210 | | matches | | 0 | "was searing" | | 1 | "was staring" | | 2 | "was offering" | | 3 | "was backing" |
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| 70.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 118 | | ratio | 0.025 | | matches | | 0 | "One iris burned the color of topaz; the other was a void of absolute black." | | 1 | "The cane concealed the thin blade; she knew the weight of it." | | 2 | "\"Eva's father was a teacher. He hated street dirt. And you can't lean on my doorframe; the plaster is old.\"" |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1262 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 36 | | adverbRatio | 0.028526148969889066 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.011093502377179081 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 14.27 | | std | 9.98 | | cv | 0.699 | | sampleLengths | | 0 | 3 | | 1 | 17 | | 2 | 34 | | 3 | 17 | | 4 | 25 | | 5 | 26 | | 6 | 14 | | 7 | 23 | | 8 | 20 | | 9 | 3 | | 10 | 16 | | 11 | 3 | | 12 | 23 | | 13 | 3 | | 14 | 2 | | 15 | 4 | | 16 | 5 | | 17 | 3 | | 18 | 3 | | 19 | 18 | | 20 | 6 | | 21 | 3 | | 22 | 3 | | 23 | 19 | | 24 | 12 | | 25 | 11 | | 26 | 11 | | 27 | 15 | | 28 | 21 | | 29 | 24 | | 30 | 15 | | 31 | 4 | | 32 | 40 | | 33 | 8 | | 34 | 4 | | 35 | 43 | | 36 | 9 | | 37 | 14 | | 38 | 16 | | 39 | 24 | | 40 | 16 | | 41 | 18 | | 42 | 22 | | 43 | 15 | | 44 | 4 | | 45 | 9 | | 46 | 22 | | 47 | 12 | | 48 | 12 | | 49 | 30 |
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| 36.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3050847457627119 | | totalSentences | 118 | | uniqueOpeners | 36 | |
| 33.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 99 | | matches | | 0 | "Instead, she leaned into it" |
| | ratio | 0.01 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 99 | | matches | | 0 | "Her mind ran the inventory" | | 1 | "She had accounted for the" | | 2 | "She had not accounted for" | | 3 | "He looked less like a" | | 4 | "His platinum hair was slicked" | | 5 | "She didn't answer." | | 6 | "Her bright blue eyes narrowed," | | 7 | "She gripped the door tighter," | | 8 | "It was hers." | | 9 | "It was solid." | | 10 | "It wasn't like the half-demon" | | 11 | "she said, her voice steady" | | 12 | "He had vanished to burn" | | 13 | "She had fled to London," | | 14 | "She took a half-step back," | | 15 | "It wasn't a lunge." | | 16 | "It was a fluid shift" | | 17 | "His ivory-handled cane tapped once" | | 18 | "She'd felt it in her" | | 19 | "he said, and this time" |
| | ratio | 0.556 | |
| 10.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 99 | | matches | | 0 | "The door opened." | | 1 | "Rory kept her weight shifted" | | 2 | "Her mind ran the inventory" | | 3 | "She had accounted for the" | | 4 | "She had not accounted for" | | 5 | "Lucien Moreau stood in the" | | 6 | "He looked less like a" | | 7 | "His platinum hair was slicked" | | 8 | "The charcoal suit was tailored" | | 9 | "The name rolled off his" | | 10 | "She didn't answer." | | 11 | "Her bright blue eyes narrowed," | | 12 | "*Assessment,* she thought." | | 13 | "Threat level: variable." | | 14 | "She gripped the door tighter," | | 15 | "The reminder of the childhood" | | 16 | "It was hers." | | 17 | "It was solid." | | 18 | "It wasn't like the half-demon" | | 19 | "she said, her voice steady" |
| | ratio | 0.899 | |
| 50.51% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 99 | | matches | | 0 | "Even if it meant facing" |
| | ratio | 0.01 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 6 | | matches | | 0 | "Lucien Moreau stood in the threshold, or rather, just outside it, as if he understood the geography of her boundaries even when she wanted him obliterated." | | 1 | "The charcoal suit was tailored to a mathematical precision that made the clutter of Eva's flat look like a riot." | | 2 | "It wasn't like the half-demon blood and Avaros shadows that had haunted the last six months of her life." | | 3 | "Lucien's lips quirked, a microscopic amusement that didn't reach his eyes." | | 4 | "His ivory-handled cane tapped once against the frame, not hard enough to bruise, but with a deliberate pressure that stopped her retreat." | | 5 | "The flat felt suddenly smaller, charged with the static of two bodies that remembered how to fit together." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "she said, her voice steady" | | 1 | "Rory snapped, though her heart hammered a traitorous rhythm against her ribs" | | 2 | "she said, her voice dropping to a whisper" | | 3 | "he corrected, the softer version rolling easier" | | 4 | "she whispered, though the words trembled" | | 5 | "He tilted, a ghost of a smile touching his lips" | | 6 | "she said, her voice rough" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 6 | | fancyTags | | 0 | "Lucien murmured (murmur)" | | 1 | "Rory snapped (snap)" | | 2 | "he corrected (correct)" | | 3 | "he murmured (murmur)" | | 4 | "she whispered (whisper)" | | 5 | "he murmured (murmur)" |
| | dialogueSentences | 36 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.4 | | effectiveRatio | 0.333 | |