| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 4 | | adverbTags | | 0 | "She moved back [back]" | | 1 | "She gestured around [around]" | | 2 | "she asked quietly [quietly]" | | 3 | "The name spoken aloud [aloud]" |
| | dialogueSentences | 44 | | tagDensity | 0.432 | | leniency | 0.864 | | rawRatio | 0.211 | | effectiveRatio | 0.182 | |
| 82.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1134 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "very" | | 1 | "barely above a whisper" | | 2 | "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) | |
| 25.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1134 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "weight" | | 1 | "vibrated" | | 2 | "chill" | | 3 | "stomach" | | 4 | "gleaming" | | 5 | "whisper" | | 6 | "flicker" | | 7 | "charged" | | 8 | "comforting" | | 9 | "familiar" | | 10 | "calculated" | | 11 | "silence" | | 12 | "tension" | | 13 | "unspoken" |
| |
| 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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1131 | | ratio | 0.004 | | matches | | 0 | "required" | | 1 | "chérie" | | 2 | "You" | | 3 | "me" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 1 | | matches | | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 775 | | uniqueNames | 5 | | maxNameDensity | 0.77 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | Eva | 2 | | October | 1 | | French | 1 | | Ptolemy | 2 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "October" | | 3 | "Ptolemy" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a physical blow" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1131 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 23.08 | | std | 14.44 | | cv | 0.626 | | sampleLengths | | 0 | 65 | | 1 | 25 | | 2 | 31 | | 3 | 6 | | 4 | 20 | | 5 | 16 | | 6 | 73 | | 7 | 28 | | 8 | 20 | | 9 | 41 | | 10 | 13 | | 11 | 19 | | 12 | 15 | | 13 | 42 | | 14 | 44 | | 15 | 34 | | 16 | 26 | | 17 | 27 | | 18 | 18 | | 19 | 10 | | 20 | 30 | | 21 | 1 | | 22 | 18 | | 23 | 16 | | 24 | 20 | | 25 | 17 | | 26 | 25 | | 27 | 9 | | 28 | 10 | | 29 | 24 | | 30 | 25 | | 31 | 10 | | 32 | 18 | | 33 | 52 | | 34 | 12 | | 35 | 20 | | 36 | 15 | | 37 | 34 | | 38 | 13 | | 39 | 29 | | 40 | 7 | | 41 | 3 | | 42 | 26 | | 43 | 31 | | 44 | 32 | | 45 | 10 | | 46 | 30 | | 47 | 12 | | 48 | 9 |
| |
| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 87 | | matches | | 0 | "was slicked" | | 1 | "was concealed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 111 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 778 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint crescent-shaped scar" |
| | adverbCount | 29 | | adverbRatio | 0.037275064267352186 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.017994858611825194 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 10.19 | | std | 5.82 | | cv | 0.571 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 13 | | 3 | 7 | | 4 | 4 | | 5 | 6 | | 6 | 9 | | 7 | 13 | | 8 | 3 | | 9 | 16 | | 10 | 15 | | 11 | 6 | | 12 | 2 | | 13 | 11 | | 14 | 7 | | 15 | 16 | | 16 | 15 | | 17 | 3 | | 18 | 15 | | 19 | 5 | | 20 | 14 | | 21 | 4 | | 22 | 17 | | 23 | 9 | | 24 | 14 | | 25 | 2 | | 26 | 3 | | 27 | 15 | | 28 | 5 | | 29 | 4 | | 30 | 18 | | 31 | 13 | | 32 | 6 | | 33 | 13 | | 34 | 8 | | 35 | 11 | | 36 | 6 | | 37 | 1 | | 38 | 1 | | 39 | 7 | | 40 | 18 | | 41 | 15 | | 42 | 1 | | 43 | 8 | | 44 | 19 | | 45 | 16 | | 46 | 5 | | 47 | 4 | | 48 | 26 | | 49 | 8 |
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| 62.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4144144144144144 | | totalSentences | 111 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 78 | | matches | | 0 | "Still radiating an unnerving elegance." | | 1 | "More of a breathless whisper." | | 2 | "Finally, he spoke." |
| | ratio | 0.038 | |
| 30.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 78 | | matches | | 0 | "She hadn’t expected him to" | | 1 | "It had been a demand," | | 2 | "She adjusted the worn cardigan" | | 3 | "she called, though a knot" | | 4 | "She unlocked the final bolt," | | 5 | "He hadn’t changed." | | 6 | "His platinum blond hair was" | | 7 | "His eyes…god, his eyes." | | 8 | "He held an ivory-handled cane," | | 9 | "She knew what was concealed" | | 10 | "He didn’t answer immediately." | | 11 | "His gaze drifted over her," | | 12 | "His French accent laced each" | | 13 | "It vanished before she could" | | 14 | "He stepped inside without invitation," | | 15 | "She moved back, putting a" | | 16 | "He caught the papers before" | | 17 | "He didn't release her hand" | | 18 | "He released her hand and" | | 19 | "Her laugh was brittle" |
| | ratio | 0.474 | |
| 24.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 78 | | matches | | 0 | "The chipped paint on the" | | 1 | "Ptolemy, Eva’s tabby, wound around" | | 2 | "She hadn’t expected him to" | | 3 | "The knock hadn’t been a" | | 4 | "It had been a demand," | | 5 | "A ghost revisiting." | | 6 | "She adjusted the worn cardigan" | | 7 | "she called, though a knot" | | 8 | "A voice she’d spent months" | | 9 | "A voice coated in honey" | | 10 | "She unlocked the final bolt," | | 11 | "Lucien stood there, filling the" | | 12 | "He hadn’t changed." | | 13 | "His platinum blond hair was" | | 14 | "His eyes…god, his eyes." | | 15 | "He held an ivory-handled cane," | | 16 | "She knew what was concealed" | | 17 | "The question didn’t come out" | | 18 | "He didn’t answer immediately." | | 19 | "His gaze drifted over her," |
| | ratio | 0.872 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Three deadbolts clicked, one after another, a small, defiant ritual against a world that felt increasingly unsteady." | | 1 | "The man who'd shared late-night conversations over cheap wine, the man who’d held her while she wept, the man who'd vanished without a trace." |
| |
| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "She crossed, trying to project an indifference she didn’t feel" | | 1 | "she said, her voice steadier now" | | 2 | "she asked, the question clipped and devoid of emotion" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.114 | | leniency | 0.227 | | rawRatio | 0 | | effectiveRatio | 0 | |