| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1263 | | 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) | |
| 64.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1263 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "scanned" | | 1 | "silence" | | 2 | "traced" | | 3 | "stomach" | | 4 | "warmth" | | 5 | "flickered" | | 6 | "pulse" | | 7 | "footsteps" | | 8 | "tension" |
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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 | 160 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 6 | | narrationSentences | 160 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "managed to" | | 2 | "tried to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 20 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1263 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1263 | | uniqueNames | 12 | | maxNameDensity | 1.27 | | worstName | "You" | | maxWindowNameDensity | 3 | | worstWindowName | "You" | | discoveredNames | | Lucien | 12 | | London | 1 | | Evan | 7 | | Avaros | 1 | | Silas | 3 | | Eva | 3 | | Cardiff | 1 | | Aurora | 8 | | Brick | 1 | | Lane | 1 | | You | 16 | | Ptolemy | 4 |
| | persons | | 0 | "Lucien" | | 1 | "Evan" | | 2 | "Silas" | | 3 | "Eva" | | 4 | "Aurora" | | 5 | "You" | | 6 | "Ptolemy" |
| | places | | 0 | "London" | | 1 | "Avaros" | | 2 | "Cardiff" | | 3 | "Brick" | | 4 | "Lane" |
| | globalScore | 0.867 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | 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 | 1263 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 160 | | matches | | |
| 96.84% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 28.07 | | std | 13.72 | | cv | 0.489 | | sampleLengths | | 0 | 67 | | 1 | 1 | | 2 | 61 | | 3 | 22 | | 4 | 12 | | 5 | 20 | | 6 | 32 | | 7 | 43 | | 8 | 17 | | 9 | 13 | | 10 | 32 | | 11 | 21 | | 12 | 25 | | 13 | 27 | | 14 | 12 | | 15 | 31 | | 16 | 15 | | 17 | 37 | | 18 | 5 | | 19 | 55 | | 20 | 24 | | 21 | 30 | | 22 | 36 | | 23 | 16 | | 24 | 30 | | 25 | 42 | | 26 | 30 | | 27 | 38 | | 28 | 37 | | 29 | 32 | | 30 | 23 | | 31 | 28 | | 32 | 23 | | 33 | 22 | | 34 | 39 | | 35 | 26 | | 36 | 27 | | 37 | 43 | | 38 | 4 | | 39 | 32 | | 40 | 23 | | 41 | 12 | | 42 | 34 | | 43 | 45 | | 44 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 234 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1266 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.026066350710900472 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00315955766192733 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 7.89 | | std | 4.28 | | cv | 0.543 | | sampleLengths | | 0 | 10 | | 1 | 11 | | 2 | 20 | | 3 | 11 | | 4 | 5 | | 5 | 10 | | 6 | 1 | | 7 | 5 | | 8 | 14 | | 9 | 7 | | 10 | 8 | | 11 | 7 | | 12 | 20 | | 13 | 8 | | 14 | 14 | | 15 | 12 | | 16 | 7 | | 17 | 13 | | 18 | 6 | | 19 | 13 | | 20 | 4 | | 21 | 9 | | 22 | 5 | | 23 | 12 | | 24 | 12 | | 25 | 14 | | 26 | 5 | | 27 | 5 | | 28 | 7 | | 29 | 7 | | 30 | 4 | | 31 | 2 | | 32 | 3 | | 33 | 7 | | 34 | 11 | | 35 | 11 | | 36 | 5 | | 37 | 16 | | 38 | 3 | | 39 | 9 | | 40 | 4 | | 41 | 9 | | 42 | 3 | | 43 | 12 | | 44 | 4 | | 45 | 2 | | 46 | 2 | | 47 | 4 | | 48 | 6 | | 49 | 3 |
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| 55.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.35625 | | totalSentences | 160 | | uniqueOpeners | 57 | |
| 44.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 151 | | matches | | 0 | "Then Evan starts moving again" | | 1 | "Then the horns appeared and" |
| | ratio | 0.013 | |
| 55.76% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 151 | | matches | | 0 | "His fingers rested on the" | | 1 | "He stepped inside without waiting." | | 2 | "You don't get to walk" | | 3 | "He scanned the chaos of" | | 4 | "You left a note on" | | 5 | "Her shoulder-length black hair fell" | | 6 | "She filled the kettle and" | | 7 | "You should have stayed away." | | 8 | "I know the owner of" | | 9 | "He moved closer." | | 10 | "Her bright blue eyes locked" | | 11 | "You lied about your blood." | | 12 | "I woke up to horns" | | 13 | "His jaw tightened." | | 14 | "His arm brushed hers." | | 15 | "I never lied." | | 16 | "You saw the eyes the" | | 17 | "You stayed for weeks." | | 18 | "You knew that." | | 19 | "You used it." |
| | ratio | 0.411 | |
| 26.23% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 131 | | totalSentences | 151 | | matches | | 0 | "The door swung inward after" | | 1 | "Aurora held the handle tight," | | 2 | "Lucien filled the doorway, his" | | 3 | "The black one stayed shadowed." | | 4 | "His fingers rested on the" | | 5 | "He stepped inside without waiting." | | 6 | "The door clicked shut behind" | | 7 | "Books balanced in towers on" | | 8 | "Scrolls spilled across the sofa" | | 9 | "Notes covered the walls in" | | 10 | "The curry scent from the" | | 11 | "Ptolemy darted from behind a" | | 12 | "The tabby cat circled Lucien's" | | 13 | "You don't get to walk" | | 14 | "Lucien set his cane against" | | 15 | "He scanned the chaos of" | | 16 | "The past is why I" | | 17 | "You left a note on" | | 18 | "Aurora crossed to the kitchenette." | | 19 | "Her shoulder-length black hair fell" |
| | ratio | 0.868 | |
| 99.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 151 | | matches | | 0 | "What I am kept you" | | 1 | "Because asking meant admitting I" | | 2 | "Because it was yours." |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | 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 | |