| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "he said again [again]" |
| | dialogueSentences | 57 | | tagDensity | 0.193 | | leniency | 0.386 | | rawRatio | 0.182 | | effectiveRatio | 0.07 | |
| 70.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1011 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "lightly" | | 1 | "suddenly" | | 2 | "very" |
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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) | |
| 80.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1011 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "silence" | | 1 | "unreadable" | | 2 | "efficient" | | 3 | "affection" |
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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 | 36 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 36 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1017 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 59.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 606 | | uniqueNames | 4 | | maxNameDensity | 1.82 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | | | globalScore | 0.592 | | windowScore | 0.833 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 25 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite trusting her legs to hold her if she stood there any longer pretending this was easy" |
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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 | 1017 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 82 | | matches | | 0 | "remembered that precision" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 16.4 | | std | 16.83 | | cv | 1.026 | | sampleLengths | | 0 | 43 | | 1 | 15 | | 2 | 28 | | 3 | 3 | | 4 | 17 | | 5 | 5 | | 6 | 6 | | 7 | 60 | | 8 | 17 | | 9 | 7 | | 10 | 6 | | 11 | 50 | | 12 | 5 | | 13 | 4 | | 14 | 4 | | 15 | 6 | | 16 | 46 | | 17 | 6 | | 18 | 12 | | 19 | 3 | | 20 | 15 | | 21 | 5 | | 22 | 2 | | 23 | 2 | | 24 | 52 | | 25 | 9 | | 26 | 24 | | 27 | 5 | | 28 | 2 | | 29 | 23 | | 30 | 7 | | 31 | 27 | | 32 | 1 | | 33 | 12 | | 34 | 6 | | 35 | 5 | | 36 | 5 | | 37 | 14 | | 38 | 20 | | 39 | 9 | | 40 | 7 | | 41 | 9 | | 42 | 6 | | 43 | 53 | | 44 | 11 | | 45 | 29 | | 46 | 16 | | 47 | 2 | | 48 | 14 | | 49 | 50 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 36 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 112 | | matches | | |
| 73.17% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 82 | | ratio | 0.024 | | matches | | 0 | "Lucien crossed the threshold and surveyed the flat the way he surveyed everything — cataloguing exits, weak points, things worth stealing." | | 1 | "\"Wouldn't dream of it,\" he said, and the smile he gave her then was smaller than his usual, careful in a different way than before — like he was handing her something breakable and trusting her not to drop it." |
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| 91.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 604 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.04966887417218543 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008278145695364239 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 12.4 | | std | 10.04 | | cv | 0.809 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 15 | | 3 | 28 | | 4 | 3 | | 5 | 17 | | 6 | 5 | | 7 | 6 | | 8 | 16 | | 9 | 21 | | 10 | 23 | | 11 | 5 | | 12 | 12 | | 13 | 7 | | 14 | 6 | | 15 | 23 | | 16 | 27 | | 17 | 5 | | 18 | 4 | | 19 | 4 | | 20 | 6 | | 21 | 20 | | 22 | 26 | | 23 | 4 | | 24 | 2 | | 25 | 12 | | 26 | 3 | | 27 | 15 | | 28 | 5 | | 29 | 2 | | 30 | 2 | | 31 | 26 | | 32 | 26 | | 33 | 5 | | 34 | 4 | | 35 | 24 | | 36 | 3 | | 37 | 2 | | 38 | 2 | | 39 | 5 | | 40 | 18 | | 41 | 7 | | 42 | 18 | | 43 | 9 | | 44 | 1 | | 45 | 12 | | 46 | 6 | | 47 | 5 | | 48 | 5 | | 49 | 14 |
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| 58.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4146341463414634 | | totalSentences | 82 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 28 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 28 | | matches | | 0 | "She yanked the door open" | | 1 | "His eyes caught on the" | | 2 | "He set his cane against" | | 3 | "She remembered that precision on" | | 4 | "He said it lightly, but" | | 5 | "He sat without being asked," | | 6 | "He didn't answer right away." | | 7 | "He looked at the window" | | 8 | "he said finally" | | 9 | "She unfolded her arms, refolded" | | 10 | "he said again, quieter this" | | 11 | "She remembered the hallway, the" | | 12 | "She should say yes." | | 13 | "he said, and the smile" |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 28 | | matches | | 0 | "The three deadbolts stuck the" | | 1 | "Ptolemy wound around her ankles," | | 2 | "She yanked the door open" | | 3 | "Lucien stood on the landing" | | 4 | "Rory held the door another" | | 5 | "Lucien crossed the threshold and" | | 6 | "His eyes caught on the" | | 7 | "He set his cane against" | | 8 | "She remembered that precision on" | | 9 | "He said it lightly, but" | | 10 | "Rory crossed her arms, aware" | | 11 | "That almost got a smile" | | 12 | "He sat without being asked," | | 13 | "He didn't answer right away." | | 14 | "He looked at the window" | | 15 | "he said finally" | | 16 | "The name landed like a" | | 17 | "She unfolded her arms, refolded" | | 18 | "Rory laughed, short and disbelieving," | | 19 | "The rain kept going outside," |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 28 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "He set his cane against the arm of the sofa, the movement precise, unhurried, the kind of care that made Rory's jaw tighten." | | 1 | "Ptolemy jumped onto the arm of the sofa and settled against Lucien's leg like a traitor, and Lucien's hand moved to scratch behind the cat's ear without thinkin…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 57 | | tagDensity | 0.193 | | leniency | 0.386 | | rawRatio | 0.091 | | effectiveRatio | 0.035 | |