| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1729 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 47.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1729 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "vibrated" | | 1 | "gleaming" | | 2 | "traced" | | 3 | "navigating" | | 4 | "tracing" | | 5 | "weight" | | 6 | "tension" | | 7 | "comforting" | | 8 | "stomach" | | 9 | "porcelain" | | 10 | "charged" | | 11 | "silence" | | 12 | "efficient" | | 13 | "effortless" | | 14 | "navigated" |
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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 | 237 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 237 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 237 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1729 | | ratio | 0 | | matches | (empty) | |
| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 1 | | matches | | 0 | "Rory, Lucien warned, his tone dropping." |
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| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 104 | | wordCount | 1718 | | uniqueNames | 15 | | maxNameDensity | 1.69 | | worstName | "Lucien" | | maxWindowNameDensity | 3.5 | | worstWindowName | "You" | | discoveredNames | | Moreau | 1 | | Evan | 6 | | Lucien | 29 | | Rory | 5 | | Silas | 1 | | Avaros | 2 | | Brick | 1 | | Lane | 1 | | You | 27 | | Aurora | 19 | | French | 1 | | London | 1 | | Marseille | 2 | | Ptolemy | 5 | | Eva | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Evan" | | 2 | "Lucien" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "You" | | 6 | "Aurora" | | 7 | "Ptolemy" | | 8 | "Eva" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "Marseille" |
| | globalScore | 0.656 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 128 | | 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 | 1729 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 237 | | matches | (empty) | |
| 67.21% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 43.23 | | std | 16.65 | | cv | 0.385 | | sampleLengths | | 0 | 63 | | 1 | 72 | | 2 | 34 | | 3 | 34 | | 4 | 51 | | 5 | 40 | | 6 | 55 | | 7 | 40 | | 8 | 23 | | 9 | 61 | | 10 | 40 | | 11 | 73 | | 12 | 49 | | 13 | 72 | | 14 | 34 | | 15 | 62 | | 16 | 36 | | 17 | 53 | | 18 | 29 | | 19 | 41 | | 20 | 26 | | 21 | 51 | | 22 | 54 | | 23 | 63 | | 24 | 41 | | 25 | 46 | | 26 | 47 | | 27 | 44 | | 28 | 28 | | 29 | 15 | | 30 | 6 | | 31 | 56 | | 32 | 32 | | 33 | 45 | | 34 | 18 | | 35 | 15 | | 36 | 64 | | 37 | 59 | | 38 | 23 | | 39 | 34 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 237 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 338 | | matches | | 0 | "were debating" | | 1 | "was debating" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 237 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 461 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.010845986984815618 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 237 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 237 | | mean | 7.3 | | std | 4.6 | | cv | 0.631 | | sampleLengths | | 0 | 14 | | 1 | 14 | | 2 | 26 | | 3 | 9 | | 4 | 14 | | 5 | 17 | | 6 | 15 | | 7 | 3 | | 8 | 23 | | 9 | 6 | | 10 | 9 | | 11 | 12 | | 12 | 4 | | 13 | 3 | | 14 | 2 | | 15 | 7 | | 16 | 6 | | 17 | 4 | | 18 | 15 | | 19 | 9 | | 20 | 5 | | 21 | 13 | | 22 | 17 | | 23 | 7 | | 24 | 1 | | 25 | 14 | | 26 | 4 | | 27 | 17 | | 28 | 4 | | 29 | 11 | | 30 | 8 | | 31 | 8 | | 32 | 11 | | 33 | 3 | | 34 | 14 | | 35 | 6 | | 36 | 10 | | 37 | 7 | | 38 | 4 | | 39 | 4 | | 40 | 9 | | 41 | 3 | | 42 | 3 | | 43 | 11 | | 44 | 3 | | 45 | 3 | | 46 | 4 | | 47 | 8 | | 48 | 3 | | 49 | 15 |
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| 39.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.19831223628691982 | | totalSentences | 237 | | uniqueOpeners | 47 | |
| 30.17% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 221 | | matches | | 0 | "Then my help." | | 1 | "Then I'm all yours." |
| | ratio | 0.009 | |
| 42.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 98 | | totalSentences | 221 | | matches | | 0 | "His charcoal suit fit with" | | 1 | "He didn't smile." | | 2 | "His heterochromatic eyes pinned her" | | 3 | "You could have used the" | | 4 | "Her left wrist twisted inward," | | 5 | "It's a timer." | | 6 | "You took five minutes." | | 7 | "I was debating whether you" | | 8 | "Her straight black hair whipped" | | 9 | "I should have known you'd" | | 10 | "He leaned into the cat's" | | 11 | "You look tired, Rory." | | 12 | "I'm here about the Avaros" | | 13 | "They moved the shard." | | 14 | "She caught them an inch" | | 15 | "You sealed it." | | 16 | "We sealed the door." | | 17 | "He moved with fluid grace," | | 18 | "His gaze swept the room," | | 19 | "They found a back way." |
| | ratio | 0.443 | |
| 2.99% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 202 | | totalSentences | 221 | | matches | | 0 | "The third deadbolt slid home" | | 1 | "Aurora shoved the door open," | | 2 | "The air in the hallway" | | 3 | "Sandalwood, ozone, and something metallic," | | 4 | "Lucien Moreau stood waiting, one" | | 5 | "His charcoal suit fit with" | | 6 | "The ivory handle of his" | | 7 | "He didn't smile." | | 8 | "His heterochromatic eyes pinned her" | | 9 | "You could have used the" | | 10 | "Aurora kept the manuscripts pressed" | | 11 | "Her left wrist twisted inward," | | 12 | "It's a timer." | | 13 | "Lucien tapped the cane against" | | 14 | "The sound snapped like a" | | 15 | "You took five minutes." | | 16 | "That tells me you were" | | 17 | "I was debating whether you" | | 18 | "Aurora sidestepped, blocking the entry." | | 19 | "Her straight black hair whipped" |
| | ratio | 0.914 | |
| 67.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 221 | | matches | | 0 | "If the breach opens, Brick" | | 1 | "Now my blood." | | 2 | "If the breach opens, you" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 3 | | matches | | 0 | "His heterochromatic eyes pinned her in place, amber warring with black in a gaze that had seen too many worlds to hold surprise." | | 1 | "I'm the errand girl who spots what the French fixer missed." | | 2 | "A shipment crate marked with symbols that made Aurora's stomach turn." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |