| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.102 | | leniency | 0.204 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1078 | | 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) | |
| 53.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1078 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "flicked" | | 2 | "stomach" | | 3 | "silence" | | 4 | "charged" | | 5 | "familiar" | | 6 | "tension" | | 7 | "calculating" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1077 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 47.34% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 828 | | uniqueNames | 4 | | maxNameDensity | 2.05 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 17 | | Rory | 12 | | Avaros | 2 | | Court | 2 |
| | persons | | | places | (empty) | | globalScore | 0.473 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1077 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 139 | | matches | | 0 | "knew that tension" | | 1 | "out that door" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 18.89 | | std | 13.64 | | cv | 0.722 | | sampleLengths | | 0 | 36 | | 1 | 41 | | 2 | 3 | | 3 | 10 | | 4 | 31 | | 5 | 30 | | 6 | 8 | | 7 | 28 | | 8 | 1 | | 9 | 22 | | 10 | 21 | | 11 | 28 | | 12 | 23 | | 13 | 3 | | 14 | 60 | | 15 | 11 | | 16 | 6 | | 17 | 37 | | 18 | 11 | | 19 | 11 | | 20 | 7 | | 21 | 20 | | 22 | 5 | | 23 | 38 | | 24 | 44 | | 25 | 5 | | 26 | 33 | | 27 | 12 | | 28 | 15 | | 29 | 26 | | 30 | 1 | | 31 | 40 | | 32 | 15 | | 33 | 15 | | 34 | 6 | | 35 | 15 | | 36 | 22 | | 37 | 4 | | 38 | 5 | | 39 | 9 | | 40 | 12 | | 41 | 44 | | 42 | 8 | | 43 | 32 | | 44 | 3 | | 45 | 6 | | 46 | 37 | | 47 | 22 | | 48 | 10 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 139 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 139 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 829 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.031363088057901084 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0024125452352231603 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 7.75 | | std | 5.75 | | cv | 0.742 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 13 | | 3 | 22 | | 4 | 13 | | 5 | 6 | | 6 | 3 | | 7 | 6 | | 8 | 4 | | 9 | 2 | | 10 | 14 | | 11 | 14 | | 12 | 1 | | 13 | 28 | | 14 | 2 | | 15 | 4 | | 16 | 4 | | 17 | 7 | | 18 | 17 | | 19 | 4 | | 20 | 1 | | 21 | 6 | | 22 | 13 | | 23 | 3 | | 24 | 18 | | 25 | 3 | | 26 | 3 | | 27 | 18 | | 28 | 7 | | 29 | 12 | | 30 | 8 | | 31 | 3 | | 32 | 3 | | 33 | 12 | | 34 | 22 | | 35 | 16 | | 36 | 10 | | 37 | 11 | | 38 | 5 | | 39 | 1 | | 40 | 1 | | 41 | 11 | | 42 | 21 | | 43 | 4 | | 44 | 7 | | 45 | 4 | | 46 | 2 | | 47 | 5 | | 48 | 4 | | 49 | 3 |
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| 51.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3237410071942446 | | totalSentences | 139 | | uniqueOpeners | 45 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Just for a second." | | 1 | "Then he turned away, moving" |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 87 | | matches | | 0 | "His amber eye caught the" | | 1 | "She didn’t step aside." | | 2 | "His mouth quirked, not quite" | | 3 | "She crossed her arms, the" | | 4 | "His jaw tightened." | | 5 | "She stepped back." | | 6 | "He turned, cane resting against" | | 7 | "It came out sharp, ugly." | | 8 | "His eyes narrowed." | | 9 | "His gaze dropped to her" | | 10 | "He didn’t answer." | | 11 | "She crossed to the kitchenette," | | 12 | "She pulled out two beers," | | 13 | "Their fingers brushed." | | 14 | "She pulled back too fast," | | 15 | "She took a long pull" | | 16 | "He set the bottle down" | | 17 | "She should say no." | | 18 | "She should tell him to" | | 19 | "He knew her." |
| | ratio | 0.299 | |
| 17.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 87 | | matches | | 0 | "The deadbolt scraped back with" | | 1 | "Rory’s breath hitched, fingers tightening" | | 2 | "The chain rattled, the last" | | 3 | "Lucien stood there, one hand" | | 4 | "His amber eye caught the" | | 5 | "The black one swallowed it" | | 6 | "Rory’s pulse hammered in her" | | 7 | "The scent of bergamot and" | | 8 | "Ptolemy wound between Lucien’s ankles," | | 9 | "Lucien’s gaze flicked past her," | | 10 | "She didn’t step aside." | | 11 | "His mouth quirked, not quite" | | 12 | "The cane tapped against the" | | 13 | "The word hung between them," | | 14 | "Lucien exhaled through his nose," | | 15 | "She crossed her arms, the" | | 16 | "His jaw tightened." | | 17 | "The platinum of his hair" | | 18 | "Ptolemy meowed, loud and insistent," | | 19 | "The cat had never liked" |
| | ratio | 0.885 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 87 | | matches | | 0 | "Before the lies, before the" | | 1 | "Before she’d walked away." |
| | ratio | 0.023 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |