| 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 | 1780 | | 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) | |
| 57.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1780 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silence" | | 1 | "shattered" | | 2 | "warmth" | | 3 | "vibrated" | | 4 | "fluttered" | | 5 | "silk" | | 6 | "pulse" | | 7 | "traced" | | 8 | "weight" | | 9 | "echo" | | 10 | "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 | 315 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 315 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 315 | | 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 | 1780 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 82 | | wordCount | 1780 | | uniqueNames | 17 | | maxNameDensity | 2.64 | | worstName | "You" | | maxWindowNameDensity | 5.5 | | worstWindowName | "You" | | discoveredNames | | Brick | 1 | | Lane | 1 | | British | 1 | | Library | 1 | | Aurora | 1 | | Silas | 2 | | Rory | 3 | | Marseille | 4 | | Golden | 1 | | Empress | 1 | | Lucien | 5 | | Avaros | 1 | | Rain | 3 | | You | 47 | | Ptolemy | 4 | | Do | 3 | | Tell | 3 |
| | persons | | 0 | "Silas" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Rain" | | 4 | "You" | | 5 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "British" | | 3 | "Library" | | 4 | "Marseille" |
| | globalScore | 0.18 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 130 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like copper and fear" |
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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 | 1780 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 315 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 23.73 | | std | 12.29 | | cv | 0.518 | | sampleLengths | | 0 | 22 | | 1 | 39 | | 2 | 4 | | 3 | 24 | | 4 | 37 | | 5 | 14 | | 6 | 13 | | 7 | 39 | | 8 | 17 | | 9 | 11 | | 10 | 15 | | 11 | 21 | | 12 | 15 | | 13 | 23 | | 14 | 23 | | 15 | 8 | | 16 | 8 | | 17 | 18 | | 18 | 30 | | 19 | 30 | | 20 | 17 | | 21 | 29 | | 22 | 37 | | 23 | 36 | | 24 | 33 | | 25 | 11 | | 26 | 31 | | 27 | 17 | | 28 | 12 | | 29 | 26 | | 30 | 19 | | 31 | 23 | | 32 | 20 | | 33 | 28 | | 34 | 27 | | 35 | 39 | | 36 | 12 | | 37 | 17 | | 38 | 33 | | 39 | 16 | | 40 | 33 | | 41 | 37 | | 42 | 13 | | 43 | 14 | | 44 | 26 | | 45 | 57 | | 46 | 15 | | 47 | 41 | | 48 | 39 | | 49 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 315 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 376 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 315 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1783 | | adjectiveStacks | 2 | | stackExamples | | 0 | "under leather-bound tomes." | | 1 | "No more polite exits." |
| | adverbCount | 36 | | adverbRatio | 0.020190689848569827 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0016825574873808188 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 315 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 315 | | mean | 5.65 | | std | 3.53 | | cv | 0.625 | | sampleLengths | | 0 | 8 | | 1 | 5 | | 2 | 9 | | 3 | 4 | | 4 | 6 | | 5 | 8 | | 6 | 8 | | 7 | 7 | | 8 | 6 | | 9 | 4 | | 10 | 4 | | 11 | 5 | | 12 | 15 | | 13 | 4 | | 14 | 6 | | 15 | 9 | | 16 | 6 | | 17 | 12 | | 18 | 2 | | 19 | 12 | | 20 | 5 | | 21 | 3 | | 22 | 5 | | 23 | 8 | | 24 | 4 | | 25 | 6 | | 26 | 9 | | 27 | 12 | | 28 | 3 | | 29 | 3 | | 30 | 3 | | 31 | 8 | | 32 | 4 | | 33 | 4 | | 34 | 3 | | 35 | 10 | | 36 | 5 | | 37 | 4 | | 38 | 10 | | 39 | 7 | | 40 | 5 | | 41 | 4 | | 42 | 6 | | 43 | 3 | | 44 | 20 | | 45 | 3 | | 46 | 7 | | 47 | 6 | | 48 | 4 | | 49 | 1 |
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| 32.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 56 | | diversityRatio | 0.30158730158730157 | | totalSentences | 315 | | uniqueOpeners | 95 | |
| 48.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 274 | | matches | | 0 | "Just silence and a forwarded" | | 1 | "Even the stray trusts me." | | 2 | "Just the words." | | 3 | "Then wake it." |
| | ratio | 0.015 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 160 | | totalSentences | 274 | | matches | | 0 | "His ivory cane tapped once" | | 1 | "You kept the locks." | | 2 | "I keep what works." | | 3 | "He crossed the threshold." | | 4 | "His cane swept a stack" | | 5 | "I just scrubbed the grout." | | 6 | "He scraped his oxfords against" | | 7 | "He shrugged out of his" | | 8 | "He draped the jacket over" | | 9 | "I paid the tab." | | 10 | "You got your money." | | 11 | "She folded her arms." | | 12 | "She rubbed her thumb over" | | 13 | "You wanted a clean exit." | | 14 | "I gave you one." | | 15 | "I rewrite nothing." | | 16 | "I stand in a room" | | 17 | "He stepped closer." | | 18 | "His cologne cut through the" | | 19 | "You are scuffing the floor." |
| | ratio | 0.584 | |
| 40.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 230 | | totalSentences | 274 | | matches | | 0 | "The third deadbolt surrendered with" | | 1 | "Rory dragged the door inward." | | 2 | "The hinge groaned against the" | | 3 | "Lucien filled the frame." | | 4 | "Charcoal wool stretched across his" | | 5 | "Rain glossed the platinum sweep" | | 6 | "His ivory cane tapped once" | | 7 | "The amber eye caught the" | | 8 | "The black one swallowed it" | | 9 | "You kept the locks." | | 10 | "I keep what works." | | 11 | "Step back or step in." | | 12 | "The curry downstairs is burning" | | 13 | "He crossed the threshold." | | 14 | "The door clicked shut behind" | | 15 | "His cane swept a stack" | | 16 | "Paper slid across the warped" | | 17 | "Ptolemy bolted from a tower" | | 18 | "Research does not tidy itself." | | 19 | "I just scrubbed the grout." |
| | ratio | 0.839 | |
| 18.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 274 | | matches | | 0 | "To feel the pressure shift." |
| | ratio | 0.004 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 1 | | matches | | 0 | "I hold takeout menus and a cat that sheds on everything I own." |
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| 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 | |