| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0.143 | | effectiveRatio | 0.067 | |
| 75.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1010 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "barely above a whisper" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 30.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1010 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "silence" | | 3 | "pulsed" | | 4 | "reminder" | | 5 | "unspoken" | | 6 | "flicked" | | 7 | "tension" | | 8 | "glinting" | | 9 | "whisper" |
| |
| 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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1006 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 830 | | uniqueNames | 9 | | maxNameDensity | 1.33 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Rory | 4 | | Golden | 1 | | Empress | 1 | | Like | 1 | | Aurora | 11 | | Silas | 9 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Empress" | | 4 | "Aurora" | | 5 | "Silas" |
| | places | | | globalScore | 0.837 | | windowScore | 0.833 | |
| 5.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a blade between them" | | 1 | "quite a laugh" | | 2 | "quite read" |
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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 | 1006 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 26.47 | | std | 21.56 | | cv | 0.814 | | sampleLengths | | 0 | 90 | | 1 | 41 | | 2 | 99 | | 3 | 6 | | 4 | 49 | | 5 | 15 | | 6 | 18 | | 7 | 37 | | 8 | 7 | | 9 | 7 | | 10 | 41 | | 11 | 17 | | 12 | 15 | | 13 | 42 | | 14 | 27 | | 15 | 18 | | 16 | 49 | | 17 | 10 | | 18 | 4 | | 19 | 34 | | 20 | 6 | | 21 | 22 | | 22 | 4 | | 23 | 11 | | 24 | 15 | | 25 | 14 | | 26 | 25 | | 27 | 25 | | 28 | 42 | | 29 | 49 | | 30 | 15 | | 31 | 30 | | 32 | 16 | | 33 | 8 | | 34 | 8 | | 35 | 6 | | 36 | 40 | | 37 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 65.77% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 149 | | matches | | 0 | "was looking" | | 1 | "was thinking" | | 2 | "was hiding" |
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| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 98 | | ratio | 0.02 | | matches | | 0 | "Aurora Carter—Rory, to her friends—adjusted the strap of her messenger bag against her hip as she stepped inside, the scent of fried garlic and chili from Golden Empress still clinging to her coat." | | 1 | "The scar on her left wrist—small, crescent-shaped from a childhood accident—pulsed faintly beneath her skin, a reminder of the life she’d left behind." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 177 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.03954802259887006 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.005649717514124294 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 10.27 | | std | 7.25 | | cv | 0.706 | | sampleLengths | | 0 | 32 | | 1 | 33 | | 2 | 25 | | 3 | 7 | | 4 | 2 | | 5 | 24 | | 6 | 8 | | 7 | 28 | | 8 | 20 | | 9 | 20 | | 10 | 31 | | 11 | 6 | | 12 | 5 | | 13 | 21 | | 14 | 23 | | 15 | 11 | | 16 | 4 | | 17 | 12 | | 18 | 6 | | 19 | 8 | | 20 | 10 | | 21 | 19 | | 22 | 7 | | 23 | 4 | | 24 | 3 | | 25 | 9 | | 26 | 18 | | 27 | 14 | | 28 | 9 | | 29 | 8 | | 30 | 12 | | 31 | 3 | | 32 | 8 | | 33 | 17 | | 34 | 7 | | 35 | 10 | | 36 | 18 | | 37 | 9 | | 38 | 3 | | 39 | 6 | | 40 | 9 | | 41 | 13 | | 42 | 13 | | 43 | 14 | | 44 | 9 | | 45 | 10 | | 46 | 2 | | 47 | 2 | | 48 | 20 | | 49 | 11 |
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| 41.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.2653061224489796 | | totalSentences | 98 | | uniqueOpeners | 26 | |
| 98.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 68 | | matches | | 0 | "Instead, she said," | | 1 | "Then he reached across the" |
| | ratio | 0.029 | |
| 61.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 68 | | matches | | 0 | "She hadn’t come here for" | | 1 | "She slid onto a stool" | | 2 | "He didn’t look up as" | | 3 | "he said, voice low" | | 4 | "She leaned forward, her elbows" | | 5 | "she said finally, her voice" | | 6 | "It had been years since" | | 7 | "she said, not looking away" | | 8 | "He didn’t deny it." | | 9 | "She wanted to ask what" | | 10 | "She knew that kind of" | | 11 | "She’d been in the same" | | 12 | "She took it, the glass" | | 13 | "He studied her for a" | | 14 | "She didn’t flinch." | | 15 | "She set her glass down" | | 16 | "He just watched her, his" | | 17 | "She knew what he meant." | | 18 | "She knew what it meant" | | 19 | "she said, her voice barely" |
| | ratio | 0.397 | |
| 33.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 68 | | matches | | 0 | "The Raven’s Nest was the" | | 1 | "Aurora Carter—Rory, to her friends—adjusted" | | 2 | "The door creaked shut behind" | | 3 | "She hadn’t come here for" | | 4 | "The Raven’s Nest was quiet" | | 5 | "She slid onto a stool" | | 6 | "Silas was already there, his" | | 7 | "He didn’t look up as" | | 8 | "he said, voice low" | | 9 | "Aurora didn’t answer right away." | | 10 | "She leaned forward, her elbows" | | 11 | "The scar on her left" | | 12 | "she said finally, her voice" | | 13 | "Silas turned then, his hazel" | | 14 | "The name felt like a" | | 15 | "It had been years since" | | 16 | "Years since they’d been friends" | | 17 | "she said, not looking away" | | 18 | "He didn’t deny it." | | 19 | "The words hung between them," |
| | ratio | 0.853 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, voice low" | | 1 | "she said finally, her voice steady" | | 2 | "she said, not looking away" | | 3 | "Silas asked, his voice rough" | | 4 | "she said, her voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0 | | effectiveRatio | 0 | |