| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 3 | | adverbTags | | 0 | "Aurora's throat tightened around [around]" | | 1 | "Aurora gestured vaguely [vaguely]" | | 2 | "Aurora said finally [finally]" |
| | dialogueSentences | 36 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.2 | | effectiveRatio | 0.167 | |
| 59.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 740 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "precisely" | | 1 | "perfectly" | | 2 | "really" | | 3 | "carefully" |
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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) | |
| 39.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 740 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "familiar" | | 1 | "mechanical" | | 2 | "silence" | | 3 | "silk" | | 4 | "tension" | | 5 | "constructed" | | 6 | "facade" | | 7 | "weight" | | 8 | "unspoken" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "the weight of unspoken words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 43 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 43 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 742 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 475 | | uniqueNames | 5 | | maxNameDensity | 3.16 | | worstName | "Aurora" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Eva | 13 | | Aurora | 15 | | Silas | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Silas" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beside her, his signet ring catching the light as he poured himself a drink" |
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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 | 742 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 23.19 | | std | 13.86 | | cv | 0.598 | | sampleLengths | | 0 | 63 | | 1 | 21 | | 2 | 31 | | 3 | 7 | | 4 | 27 | | 5 | 19 | | 6 | 13 | | 7 | 56 | | 8 | 5 | | 9 | 22 | | 10 | 23 | | 11 | 8 | | 12 | 34 | | 13 | 19 | | 14 | 9 | | 15 | 40 | | 16 | 16 | | 17 | 8 | | 18 | 3 | | 19 | 25 | | 20 | 18 | | 21 | 34 | | 22 | 21 | | 23 | 21 | | 24 | 14 | | 25 | 19 | | 26 | 10 | | 27 | 25 | | 28 | 32 | | 29 | 47 | | 30 | 31 | | 31 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 43 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 90 | | matches | (empty) | |
| 97.51% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 63 | | ratio | 0.016 | | matches | | 0 | "\"Just a whiskey, neat.\" The woman's voice carried across the bar, familiar yet different - sharper, more polished." |
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| 94.55% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 411 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.046228710462287104 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.019464720194647202 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 11.78 | | std | 5.97 | | cv | 0.507 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 27 | | 3 | 6 | | 4 | 5 | | 5 | 10 | | 6 | 18 | | 7 | 13 | | 8 | 7 | | 9 | 9 | | 10 | 11 | | 11 | 7 | | 12 | 13 | | 13 | 6 | | 14 | 9 | | 15 | 4 | | 16 | 9 | | 17 | 21 | | 18 | 26 | | 19 | 5 | | 20 | 7 | | 21 | 15 | | 22 | 5 | | 23 | 18 | | 24 | 8 | | 25 | 20 | | 26 | 14 | | 27 | 7 | | 28 | 12 | | 29 | 9 | | 30 | 14 | | 31 | 26 | | 32 | 8 | | 33 | 8 | | 34 | 5 | | 35 | 3 | | 36 | 3 | | 37 | 3 | | 38 | 22 | | 39 | 10 | | 40 | 8 | | 41 | 20 | | 42 | 14 | | 43 | 10 | | 44 | 11 | | 45 | 10 | | 46 | 11 | | 47 | 14 | | 48 | 19 | | 49 | 5 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.47619047619047616 | | totalSentences | 63 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 42 | | matches | | 0 | "She settled onto a barstool," | | 1 | "She looked up, really looked," | | 2 | "Their fingers brushed as Eva" | | 3 | "His eyebrows rose at the" | | 4 | "They stared at each other" | | 5 | "She placed a business card" | | 6 | "She picked it up, ran" |
| | ratio | 0.167 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 42 | | matches | | 0 | "The green neon sign of" | | 1 | "Aurora wiped down the bar" | | 2 | "The evening crowd had thinned" | | 3 | "The bell above the door" | | 4 | "Aurora glanced up, then froze." | | 5 | "The glass in her hand" | | 6 | "The woman's voice carried across" | | 7 | "She settled onto a barstool," | | 8 | "Aurora's throat tightened around the" | | 9 | "Eva's perfectly manicured hand paused" | | 10 | "She looked up, really looked," | | 11 | "Aurora poured the whiskey with" | | 12 | "Eva's laugh held an edge" | | 13 | "The silence stretched between them" | | 14 | "Aurora noticed the wedding ring" | | 15 | "Aurora gestured vaguely" | | 16 | "Eva's smile didn't reach her" | | 17 | "Aurora set down the whiskey." | | 18 | "Their fingers brushed as Eva" | | 19 | "Eva's tone was carefully neutral" |
| | ratio | 0.976 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "Gone was the girl who used to share cigarettes with her on fire escapes, who wore combat boots with sundresses and dreamed of becoming a photographer." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.028 | | leniency | 0.056 | | rawRatio | 0 | | effectiveRatio | 0 | |