| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 72 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1448 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "carefully" | | 1 | "very" | | 2 | "slowly" | | 3 | "slightly" |
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| 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) | |
| 89.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1448 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "weight" | | 1 | "grave" | | 2 | "flicked" |
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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 | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1453 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 587 | | uniqueNames | 4 | | maxNameDensity | 1.36 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.819 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like grave dirt, and Rory counted" |
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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 | 1453 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 96 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 23.82 | | std | 24.62 | | cv | 1.034 | | sampleLengths | | 0 | 57 | | 1 | 7 | | 2 | 5 | | 3 | 42 | | 4 | 3 | | 5 | 28 | | 6 | 41 | | 7 | 5 | | 8 | 1 | | 9 | 1 | | 10 | 59 | | 11 | 4 | | 12 | 7 | | 13 | 38 | | 14 | 11 | | 15 | 3 | | 16 | 4 | | 17 | 39 | | 18 | 2 | | 19 | 3 | | 20 | 50 | | 21 | 2 | | 22 | 8 | | 23 | 7 | | 24 | 12 | | 25 | 50 | | 26 | 11 | | 27 | 49 | | 28 | 8 | | 29 | 15 | | 30 | 31 | | 31 | 20 | | 32 | 50 | | 33 | 1 | | 34 | 16 | | 35 | 15 | | 36 | 39 | | 37 | 11 | | 38 | 30 | | 39 | 6 | | 40 | 4 | | 41 | 28 | | 42 | 80 | | 43 | 11 | | 44 | 76 | | 45 | 8 | | 46 | 1 | | 47 | 73 | | 48 | 8 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 98 | | matches | | |
| 83.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 96 | | ratio | 0.021 | | matches | | 0 | "It swung back and there he was — charcoal suit, platinum hair slicked back, ivory-handled cane angled against the floorboards, one amber eye and one black one fixed on her like she owed him money." | | 1 | "She had a whole speech prepared for the next time she saw him — she had been carrying it around for four months, and it had gone stale in her pocket." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 587 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.030664395229982964 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005110732538330494 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 15.14 | | std | 14.2 | | cv | 0.938 | | sampleLengths | | 0 | 22 | | 1 | 35 | | 2 | 7 | | 3 | 5 | | 4 | 33 | | 5 | 9 | | 6 | 3 | | 7 | 22 | | 8 | 6 | | 9 | 29 | | 10 | 12 | | 11 | 5 | | 12 | 1 | | 13 | 1 | | 14 | 12 | | 15 | 43 | | 16 | 4 | | 17 | 4 | | 18 | 7 | | 19 | 12 | | 20 | 26 | | 21 | 11 | | 22 | 3 | | 23 | 4 | | 24 | 21 | | 25 | 18 | | 26 | 2 | | 27 | 3 | | 28 | 3 | | 29 | 31 | | 30 | 16 | | 31 | 2 | | 32 | 8 | | 33 | 7 | | 34 | 7 | | 35 | 5 | | 36 | 3 | | 37 | 10 | | 38 | 37 | | 39 | 10 | | 40 | 1 | | 41 | 20 | | 42 | 6 | | 43 | 23 | | 44 | 8 | | 45 | 15 | | 46 | 6 | | 47 | 25 | | 48 | 3 | | 49 | 17 |
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| 51.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.375 | | totalSentences | 96 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 41 | | matches | | 0 | "It swung back and there" | | 1 | "She kept her hand on" | | 2 | "He shifted his weight, and" | | 3 | "He tilted his head" | | 4 | "She let the door fall" | | 5 | "He set both hands on" | | 6 | "She had a whole speech" | | 7 | "She looked at his face," | | 8 | "She told herself it was" | | 9 | "He came in, set the" | | 10 | "She nodded at the books" | | 11 | "He gathered them in one" | | 12 | "Her voice came out flat" | | 13 | "He scratched behind Ptolemy’s ear" | | 14 | "He paused, and his gaze" | | 15 | "she said, She pressed her" | | 16 | "She stood up, and Ptolemy’s" | | 17 | "He rose, and the cat" | | 18 | "His good eye widened, just" | | 19 | "She folded her arms" |
| | ratio | 0.585 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 41 | | matches | | 0 | "The third deadbolt stuck the" | | 1 | "It swung back and there" | | 2 | "She kept her hand on" | | 3 | "Lucien’s gaze travelled past her" | | 4 | "He shifted his weight, and" | | 5 | "Ptolemy dropped from the sofa" | | 6 | "Rory watched the whole small" | | 7 | "He tilted his head" | | 8 | "She let the door fall" | | 9 | "The stairwell behind him smelled" | | 10 | "He set both hands on" | | 11 | "That stopped her." | | 12 | "She had a whole speech" | | 13 | "She looked at his face," | | 14 | "Rory stepped back." | | 15 | "She told herself it was" | | 16 | "He came in, set the" | | 17 | "She nodded at the books" | | 18 | "He gathered them in one" | | 19 | "Ptolemy jumped into his lap" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 1 | | matches | | 0 | "He shifted, and the cane clicked once against the boards" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 72 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |