| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory stepped back [back]" | | 1 | "he said instead [instead]" |
| | dialogueSentences | 41 | | tagDensity | 0.317 | | leniency | 0.634 | | rawRatio | 0.154 | | effectiveRatio | 0.098 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 766 | | 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) | |
| 93.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 766 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 34 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 34 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 769 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 6 | | wordCount | 421 | | uniqueNames | 2 | | maxNameDensity | 0.95 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 20 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 769 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 60 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 23.3 | | std | 17.11 | | cv | 0.734 | | sampleLengths | | 0 | 53 | | 1 | 8 | | 2 | 11 | | 3 | 51 | | 4 | 21 | | 5 | 5 | | 6 | 10 | | 7 | 48 | | 8 | 4 | | 9 | 21 | | 10 | 39 | | 11 | 6 | | 12 | 23 | | 13 | 5 | | 14 | 10 | | 15 | 29 | | 16 | 5 | | 17 | 43 | | 18 | 18 | | 19 | 33 | | 20 | 8 | | 21 | 47 | | 22 | 23 | | 23 | 35 | | 24 | 24 | | 25 | 4 | | 26 | 5 | | 27 | 44 | | 28 | 45 | | 29 | 33 | | 30 | 3 | | 31 | 4 | | 32 | 51 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 34 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 85 | | matches | | |
| 47.62% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 60 | | ratio | 0.033 | | matches | | 0 | "Rory unlatched the chain, pulled the door open, and there he was — Lucien, one hand braced against the frame, the ivory cane hanging loose from his fingers like he'd forgotten it was there." | | 1 | "He winced at that, actually winced, and for a moment the polish slipped, the fixer's mask cracking just enough to show something underneath — tired, maybe." |
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| 87.08% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 420 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.05476190476190476 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.011904761904761904 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 12.82 | | std | 10.26 | | cv | 0.8 | | sampleLengths | | 0 | 19 | | 1 | 34 | | 2 | 5 | | 3 | 3 | | 4 | 11 | | 5 | 33 | | 6 | 18 | | 7 | 6 | | 8 | 15 | | 9 | 5 | | 10 | 8 | | 11 | 2 | | 12 | 33 | | 13 | 7 | | 14 | 8 | | 15 | 4 | | 16 | 21 | | 17 | 22 | | 18 | 6 | | 19 | 8 | | 20 | 3 | | 21 | 6 | | 22 | 8 | | 23 | 15 | | 24 | 5 | | 25 | 10 | | 26 | 26 | | 27 | 3 | | 28 | 3 | | 29 | 2 | | 30 | 8 | | 31 | 35 | | 32 | 18 | | 33 | 27 | | 34 | 6 | | 35 | 5 | | 36 | 3 | | 37 | 31 | | 38 | 16 | | 39 | 21 | | 40 | 2 | | 41 | 23 | | 42 | 12 | | 43 | 7 | | 44 | 17 | | 45 | 4 | | 46 | 5 | | 47 | 36 | | 48 | 3 | | 49 | 3 |
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| 53.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.38333333333333336 | | totalSentences | 60 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 29 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 29 | | matches | | 0 | "He glanced past her shoulder" | | 1 | "She didn't move for a" | | 2 | "He tilted his head" | | 3 | "She shut the door harder" | | 4 | "He didn't sit." | | 5 | "She crossed her arms" | | 6 | "He winced at that, actually" | | 7 | "It threw her off her" | | 8 | "He reached into his jacket," | | 9 | "She didn't take it immediately." | | 10 | "He held the paper steady" | | 11 | "He watched her fold the" | | 12 | "She looked up at him" | | 13 | "He raised both hands, a" | | 14 | "She didn't ask." | | 15 | "She wanted to." | | 16 | "he said instead, looking anywhere" | | 17 | "Her voice came out sharper" | | 18 | "He finally looked at her" |
| | ratio | 0.655 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 27 | | totalSentences | 29 | | matches | | 0 | "The knock came twice, spaced" | | 1 | "Rory unlatched the chain, pulled" | | 2 | "He glanced past her shoulder" | | 3 | "She didn't move for a" | | 4 | "He tilted his head" | | 5 | "Rory stepped back, more out" | | 6 | "She shut the door harder" | | 7 | "Lucien set the cane against" | | 8 | "The chipped mug on the" | | 9 | "The coat still hung on" | | 10 | "He didn't sit." | | 11 | "She crossed her arms" | | 12 | "He winced at that, actually" | | 13 | "Rory hadn't expected him to" | | 14 | "It threw her off her" | | 15 | "He reached into his jacket," | | 16 | "She didn't take it immediately." | | 17 | "He held the paper steady" | | 18 | "Rory took the paper, unfolded" | | 19 | "He watched her fold the" |
| | ratio | 0.931 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 29 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 8 | | technicalSentenceCount | 1 | | matches | | 0 | "Long enough that he noticed, his mouth twitching into something that wasn't quite a smile." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.098 | | leniency | 0.195 | | rawRatio | 0 | | effectiveRatio | 0 | |