| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "His hand rests lightly [lightly]" | | 1 | "she says softly [softly]" |
| | dialogueSentences | 50 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.133 | | effectiveRatio | 0.08 | |
| 76.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 836 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lightly" | | 1 | "softly" | | 2 | "slowly" | | 3 | "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) | |
| 28.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 836 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "scanning" | | 1 | "weight" | | 2 | "whisper" | | 3 | "silence" | | 4 | "warmth" | | 5 | "dance" | | 6 | "tracing" | | 7 | "pulse" | | 8 | "unspoken" | | 9 | "pounding" | | 10 | "resolved" |
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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 | 80 | | matches | (empty) | |
| 89.29% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 832 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 616 | | uniqueNames | 3 | | maxNameDensity | 1.79 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | 0 | "Aurora" | | 1 | "Lucien" | | 2 | "Silence" |
| | places | (empty) | | globalScore | 0.607 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 79.81% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.202 | | wordCount | 832 | | matches | | 0 | "not resolved, but understood" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 18.91 | | std | 10.91 | | cv | 0.577 | | sampleLengths | | 0 | 49 | | 1 | 21 | | 2 | 26 | | 3 | 38 | | 4 | 13 | | 5 | 30 | | 6 | 11 | | 7 | 20 | | 8 | 19 | | 9 | 13 | | 10 | 24 | | 11 | 6 | | 12 | 41 | | 13 | 11 | | 14 | 22 | | 15 | 40 | | 16 | 7 | | 17 | 5 | | 18 | 22 | | 19 | 37 | | 20 | 11 | | 21 | 11 | | 22 | 22 | | 23 | 8 | | 24 | 24 | | 25 | 15 | | 26 | 15 | | 27 | 30 | | 28 | 11 | | 29 | 4 | | 30 | 30 | | 31 | 9 | | 32 | 17 | | 33 | 20 | | 34 | 15 | | 35 | 10 | | 36 | 7 | | 37 | 21 | | 38 | 8 | | 39 | 31 | | 40 | 21 | | 41 | 6 | | 42 | 7 | | 43 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 15.31% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 112 | | ratio | 0.045 | | matches | | 0 | "The movement brings him closer, close enough that she catches the faint smell of cedar and something sharper—like ozone after lightning." | | 1 | "The memory surfaces—rain slashing sideways, the way he’d laughed despite the cold, the warmth of his hand in hers even as thunder cracked overhead." | | 2 | "Lines crisscross the parchment, marked with tiny symbols she recognizes—her own handwriting." | | 3 | "Inside, a liquid shimmers—a deep blue that seems to swallow the light." | | 4 | "In the quiet that follows, something shifts—not resolved, but understood." |
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| 96.96% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 621 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.043478260869565216 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008051529790660225 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 7.43 | | std | 4.75 | | cv | 0.639 | | sampleLengths | | 0 | 4 | | 1 | 21 | | 2 | 11 | | 3 | 13 | | 4 | 10 | | 5 | 11 | | 6 | 5 | | 7 | 17 | | 8 | 4 | | 9 | 11 | | 10 | 8 | | 11 | 9 | | 12 | 10 | | 13 | 13 | | 14 | 9 | | 15 | 21 | | 16 | 6 | | 17 | 5 | | 18 | 9 | | 19 | 2 | | 20 | 9 | | 21 | 3 | | 22 | 13 | | 23 | 3 | | 24 | 10 | | 25 | 3 | | 26 | 5 | | 27 | 14 | | 28 | 5 | | 29 | 4 | | 30 | 2 | | 31 | 12 | | 32 | 9 | | 33 | 18 | | 34 | 2 | | 35 | 10 | | 36 | 1 | | 37 | 7 | | 38 | 15 | | 39 | 3 | | 40 | 24 | | 41 | 13 | | 42 | 7 | | 43 | 3 | | 44 | 2 | | 45 | 3 | | 46 | 10 | | 47 | 6 | | 48 | 3 | | 49 | 5 |
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| 61.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.38392857142857145 | | totalSentences | 112 | | uniqueOpeners | 43 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Instead, he reaches into his" | | 1 | "Somewhere in the distance, a" |
| | ratio | 0.027 | |
| 52.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 74 | | matches | | 0 | "she says, voice steady but" | | 1 | "Her gaze flicks to the" | | 2 | "He smiles, slow and deliberate." | | 3 | "His hand rests lightly on" | | 4 | "she asks, eyes narrowing at" | | 5 | "he replies, shifting his weight" | | 6 | "She crosses her arms, shoulders" | | 7 | "he says, but his tone" | | 8 | "She moves toward the kitchenette," | | 9 | "His voice drops, almost a" | | 10 | "She turns, meeting his eyes." | | 11 | "she says softly" | | 12 | "He pulls a small leather" | | 13 | "he answers, voice rough" | | 14 | "Her breath catches." | | 15 | "She closes her eyes for" | | 16 | "He doesn’t answer right away." | | 17 | "Her throat feels dry." | | 18 | "His gaze drops to the" | | 19 | "He steps closer, close enough" |
| | ratio | 0.419 | |
| 0.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 74 | | matches | | 0 | "The door creaks open." | | 1 | "Aurora stands there, rain dripping" | | 2 | "Lucien leans against the frame," | | 3 | "The scent of old paper" | | 4 | "she says, voice steady but" | | 5 | "Her gaze flicks to the" | | 6 | "He smiles, slow and deliberate." | | 7 | "His hand rests lightly on" | | 8 | "Aurora steps inside, boots leaving" | | 9 | "The room feels smaller now," | | 10 | "Books crowd every surface, spines" | | 11 | "A single lamp glows low," | | 12 | "she asks, eyes narrowing at" | | 13 | "he replies, shifting his weight" | | 14 | "The movement brings him closer," | | 15 | "She crosses her arms, shoulders" | | 16 | "he says, but his tone" | | 17 | "Aurora’s jaw tightens." | | 18 | "She moves toward the kitchenette," | | 19 | "His voice drops, almost a" |
| | ratio | 0.919 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 5 | | matches | | 0 | "she says, voice steady but edged" | | 1 | "His hand rests lightly, fingers curled around the ivory grip" | | 2 | "she asks, eyes narrowing at the neat stacks" | | 3 | "he says, but his tone isn’t triumphant" | | 4 | "he answers, voice rough" |
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| 90.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "she murmurs (murmur)" | | 1 | "he agrees (agree)" | | 2 | "he whispers (whisper)" |
| | dialogueSentences | 50 | | tagDensity | 0.22 | | leniency | 0.44 | | rawRatio | 0.273 | | effectiveRatio | 0.12 | |