| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "he corrected softly [softly]" |
| | dialogueSentences | 37 | | tagDensity | 0.405 | | leniency | 0.811 | | rawRatio | 0.067 | | effectiveRatio | 0.054 | |
| 87.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1247 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "softly" | | 2 | "slightly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 80.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 47.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1247 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "stark" | | 1 | "constructed" | | 2 | "velvet" | | 3 | "flickered" | | 4 | "sanctuary" | | 5 | "familiar" | | 6 | "weight" | | 7 | "unspoken" | | 8 | "whisper" | | 9 | "stomach" | | 10 | "raced" | | 11 | "warmth" | | 12 | "flicked" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 92 | | matches | (empty) | |
| 96.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1240 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 892 | | uniqueNames | 13 | | maxNameDensity | 0.56 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Evan | 2 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | French | 1 | | Books | 1 | | Eva | 3 | | Lucien | 5 | | Sumerian | 1 | | Silas | 1 | | Brendan | 1 | | Jennifer | 1 | | Cardiff | 1 |
| | persons | | 0 | "Evan" | | 1 | "Moreau" | | 2 | "Books" | | 3 | "Eva" | | 4 | "Lucien" | | 5 | "Silas" | | 6 | "Brendan" | | 7 | "Jennifer" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a mockery" | | 1 | "as if discussing the weather" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.806 | | wordCount | 1240 | | matches | | 0 | "not to touch me, but to brush a stray piece of lint from the shoulder of my unifo" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 112 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 29.52 | | std | 23.74 | | cv | 0.804 | | sampleLengths | | 0 | 87 | | 1 | 5 | | 2 | 7 | | 3 | 32 | | 4 | 2 | | 5 | 101 | | 6 | 24 | | 7 | 23 | | 8 | 3 | | 9 | 16 | | 10 | 38 | | 11 | 5 | | 12 | 49 | | 13 | 19 | | 14 | 36 | | 15 | 37 | | 16 | 2 | | 17 | 47 | | 18 | 41 | | 19 | 12 | | 20 | 43 | | 21 | 11 | | 22 | 39 | | 23 | 11 | | 24 | 80 | | 25 | 1 | | 26 | 23 | | 27 | 20 | | 28 | 64 | | 29 | 12 | | 30 | 10 | | 31 | 65 | | 32 | 35 | | 33 | 14 | | 34 | 30 | | 35 | 38 | | 36 | 12 | | 37 | 26 | | 38 | 40 | | 39 | 4 | | 40 | 54 | | 41 | 22 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 92 | | matches | | 0 | "was slicked" | | 1 | "was braced" | | 2 | "were stacked" | | 3 | "was breached" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 147 | | matches | | 0 | "were getting" | | 1 | "were being" |
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| 91.84% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 112 | | ratio | 0.018 | | matches | | 0 | "One hand rested on the ivory handle of his cane; the other was braced against the doorframe, holding it open." | | 1 | "He was an information broker; knowing was his trade." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 896 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.033482142857142856 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013392857142857142 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 11.07 | | std | 7.92 | | cv | 0.715 | | sampleLengths | | 0 | 27 | | 1 | 14 | | 2 | 14 | | 3 | 4 | | 4 | 3 | | 5 | 25 | | 6 | 5 | | 7 | 7 | | 8 | 6 | | 9 | 9 | | 10 | 17 | | 11 | 2 | | 12 | 14 | | 13 | 16 | | 14 | 16 | | 15 | 20 | | 16 | 18 | | 17 | 17 | | 18 | 24 | | 19 | 12 | | 20 | 11 | | 21 | 3 | | 22 | 10 | | 23 | 6 | | 24 | 9 | | 25 | 14 | | 26 | 10 | | 27 | 5 | | 28 | 5 | | 29 | 17 | | 30 | 26 | | 31 | 6 | | 32 | 12 | | 33 | 7 | | 34 | 12 | | 35 | 20 | | 36 | 4 | | 37 | 17 | | 38 | 18 | | 39 | 2 | | 40 | 2 | | 41 | 17 | | 42 | 11 | | 43 | 7 | | 44 | 3 | | 45 | 4 | | 46 | 5 | | 47 | 13 | | 48 | 14 | | 49 | 8 |
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| 55.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4107142857142857 | | totalSentences | 112 | | uniqueOpeners | 46 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 83 | | matches | | 0 | "Only a handful of people" | | 1 | "Of course, he knew." |
| | ratio | 0.024 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 83 | | matches | | 0 | "My hand froze on the" | | 1 | "I never skipped it." | | 2 | "I yanked the door open." | | 3 | "It wasn’t a disgruntled neighbour" | | 4 | "He was exactly as I" | | 5 | "His tailored charcoal suit was" | | 6 | "His eyes, one the colour" | | 7 | "They stripped away the delivery" | | 8 | "His voice was a low" | | 9 | "My heart hammered against my" | | 10 | "My fingers tightened on the" | | 11 | "He peered past me into" | | 12 | "I pushed against the door," | | 13 | "It was like trying to" | | 14 | "he corrected softly" | | 15 | "His gaze flickered down, a" | | 16 | "He took a deliberate step" | | 17 | "He was inside." | | 18 | "My sanctuary was breached." | | 19 | "He moved past me, his" |
| | ratio | 0.59 | |
| 20.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 83 | | matches | | 0 | "The third deadbolt had barely" | | 1 | "My hand froze on the" | | 2 | "Eva had taught me the" | | 3 | "I never skipped it." | | 4 | "I yanked the door open." | | 5 | "The words died in my" | | 6 | "It wasn’t a disgruntled neighbour" | | 7 | "He was exactly as I" | | 8 | "The platinum blond hair was" | | 9 | "His tailored charcoal suit was" | | 10 | "His eyes, one the colour" | | 11 | "They stripped away the delivery" | | 12 | "His voice was a low" | | 13 | "My heart hammered against my" | | 14 | "My fingers tightened on the" | | 15 | "A faint smile touched his" | | 16 | "The name landed like a" | | 17 | "Laila was a ghost, buried" | | 18 | "He peered past me into" | | 19 | "Books overflowed from shelves, papyrus" |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "I pushed, but his hand didn’t move" | | 1 | "Lucien said, his tone conversational, as if discussing the weather" | | 2 | "His expression hardened, the playful condescension vanishing, replaced by something cold and sharp" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "he corrected softly (correct)" |
| | dialogueSentences | 37 | | tagDensity | 0.054 | | leniency | 0.108 | | rawRatio | 0.5 | | effectiveRatio | 0.054 | |