| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 974 | | 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) | |
| 84.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 974 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "silence" | | 1 | "trembled" | | 2 | "flickered" |
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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 | 186 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 186 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 186 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 16 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 974 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 974 | | uniqueNames | 7 | | maxNameDensity | 2.87 | | worstName | "You" | | maxWindowNameDensity | 5.5 | | worstWindowName | "You" | | discoveredNames | | Rory | 13 | | Carter | 1 | | Cardiff | 2 | | Paris | 1 | | London | 1 | | Lucien | 4 | | You | 28 |
| | persons | | 0 | "Rory" | | 1 | "Carter" | | 2 | "Lucien" | | 3 | "You" |
| | places | | 0 | "Cardiff" | | 1 | "Paris" | | 2 | "London" |
| | globalScore | 0.063 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like expensive soap and ozone" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 974 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 186 | | matches | | 0 | "said that you" | | 1 | "said that I'd" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 14.98 | | std | 10.31 | | cv | 0.688 | | sampleLengths | | 0 | 48 | | 1 | 46 | | 2 | 12 | | 3 | 28 | | 4 | 4 | | 5 | 11 | | 6 | 32 | | 7 | 15 | | 8 | 9 | | 9 | 17 | | 10 | 27 | | 11 | 14 | | 12 | 18 | | 13 | 17 | | 14 | 14 | | 15 | 5 | | 16 | 9 | | 17 | 27 | | 18 | 22 | | 19 | 6 | | 20 | 8 | | 21 | 7 | | 22 | 15 | | 23 | 17 | | 24 | 40 | | 25 | 6 | | 26 | 9 | | 27 | 6 | | 28 | 27 | | 29 | 9 | | 30 | 6 | | 31 | 27 | | 32 | 15 | | 33 | 12 | | 34 | 11 | | 35 | 21 | | 36 | 6 | | 37 | 6 | | 38 | 24 | | 39 | 28 | | 40 | 9 | | 41 | 21 | | 42 | 20 | | 43 | 35 | | 44 | 13 | | 45 | 11 | | 46 | 12 | | 47 | 5 | | 48 | 7 | | 49 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 186 | | matches | | 0 | "being followed" | | 1 | "is overrated" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 225 | | matches | | 0 | "wasn't lying" | | 1 | "was protecting" | | 2 | "was going" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 186 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 975 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.018461538461538463 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0010256410256410256 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 186 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 186 | | mean | 5.24 | | std | 2.56 | | cv | 0.489 | | sampleLengths | | 0 | 10 | | 1 | 5 | | 2 | 12 | | 3 | 6 | | 4 | 15 | | 5 | 3 | | 6 | 8 | | 7 | 7 | | 8 | 12 | | 9 | 16 | | 10 | 8 | | 11 | 4 | | 12 | 4 | | 13 | 9 | | 14 | 7 | | 15 | 8 | | 16 | 4 | | 17 | 4 | | 18 | 7 | | 19 | 4 | | 20 | 3 | | 21 | 7 | | 22 | 3 | | 23 | 6 | | 24 | 9 | | 25 | 7 | | 26 | 5 | | 27 | 3 | | 28 | 3 | | 29 | 3 | | 30 | 3 | | 31 | 2 | | 32 | 11 | | 33 | 4 | | 34 | 8 | | 35 | 3 | | 36 | 9 | | 37 | 7 | | 38 | 8 | | 39 | 2 | | 40 | 4 | | 41 | 6 | | 42 | 3 | | 43 | 4 | | 44 | 5 | | 45 | 3 | | 46 | 4 | | 47 | 5 | | 48 | 5 | | 49 | 4 |
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| 27.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 41 | | diversityRatio | 0.1881720430107527 | | totalSentences | 186 | | uniqueOpeners | 35 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 174 | | matches | | 0 | "Then you got me." | | 1 | "Then you came back." |
| | ratio | 0.011 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 117 | | totalSentences | 174 | | matches | | 0 | "Her breath caught in her" | | 1 | "She held the frame with" | | 2 | "He smelled like expensive soap" | | 3 | "He wore the charcoal suit" | | 4 | "You knew I'd come." | | 5 | "She walked on tiptoes near" | | 6 | "She set the frame back" | | 7 | "I need the papers." | | 8 | "I need the spellwork on" | | 9 | "Her black hair fell across" | | 10 | "She looked tired." | | 11 | "Her eyes flashed with blue" | | 12 | "She watched him wipe the" | | 13 | "You broke the rules three" | | 14 | "It never came." | | 15 | "I got it." | | 16 | "I lost it." | | 17 | "It doesn't matter." | | 18 | "It matters because I can" | | 19 | "She stopped spinning the pen" |
| | ratio | 0.672 | |
| 5.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 158 | | totalSentences | 174 | | matches | | 0 | "The door opened a sliver" | | 1 | "Light spilled across the threshold." | | 2 | "Rory stood frozen in the" | | 3 | "Her breath caught in her" | | 4 | "She held the frame with" | | 5 | "Lucien stepped inside." | | 6 | "The air shifted as he" | | 7 | "He smelled like expensive soap" | | 8 | "He wore the charcoal suit" | | 9 | "The ivory handle of the" | | 10 | "Doors don't stay open like" | | 11 | "You knew I'd come." | | 12 | "Rory crossed the room." | | 13 | "She walked on tiptoes near" | | 14 | "The desk cluttered her space" | | 15 | "She set the frame back" | | 16 | "I need the papers." | | 17 | "I need the spellwork on" | | 18 | "The desk chair spun." | | 19 | "Rory sat down." |
| | ratio | 0.908 | |
| 86.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 174 | | matches | | 0 | "If you help me." | | 1 | "To close the deal and" | | 2 | "Because of the job." |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 10 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |