| 59.09% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "She stepped back [back]" |
| | dialogueSentences | 18 | | tagDensity | 0.611 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |
| 75.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 818 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lightly" | | 1 | "very" | | 2 | "softly" | | 3 | "suddenly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 818 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "echoed" | | 1 | "imposing" | | 2 | "gloom" | | 3 | "gleaming" | | 4 | "flicked" | | 5 | "unreadable" | | 6 | "scanning" | | 7 | "throbbed" | | 8 | "reminder" | | 9 | "encounter" | | 10 | "whisper" | | 11 | "familiar" | | 12 | "intensity" | | 13 | "glinting" | | 14 | "unspoken" | | 15 | "desire" | | 16 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 47 | | matches | (empty) | |
| 82.07% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 47 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 53 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 809 | | ratio | 0.006 | | matches | | 0 | "Cool-headed, intelligent, quick out-of-the-box thinking." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 602 | | uniqueNames | 7 | | maxNameDensity | 0.66 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Ptolemy | 2 | | Carter | 1 | | Eva | 1 | | Lucien | 2 | | Moreau | 2 | | London | 1 | | Aurora | 4 |
| | persons | | 0 | "Ptolemy" | | 1 | "Carter" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "whisper that seemed to vibrate in the air" | | 1 | "seemed suddenly irrelevant" |
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| 76.39% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.236 | | wordCount | 809 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 53 | | matches | | |
| 14.06% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 80.9 | | std | 16.11 | | cv | 0.199 | | sampleLengths | | 0 | 109 | | 1 | 92 | | 2 | 72 | | 3 | 79 | | 4 | 77 | | 5 | 90 | | 6 | 86 | | 7 | 76 | | 8 | 43 | | 9 | 85 |
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| 97.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 47 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 101 | | matches | | |
| 35.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 53 | | ratio | 0.038 | | matches | | 0 | "The knock wasn’t unexpected—she’d known he’d come—but the sheer, brutal force of it still made her heart stutter." | | 1 | "The scent of old paper and something faintly metallic—his presence—filled her nostrils." |
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| 91.70% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 610 | | adjectiveStacks | 1 | | stackExamples | | 0 | "wide, accusatory green eyes." |
| | adverbCount | 26 | | adverbRatio | 0.04262295081967213 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.013114754098360656 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 53 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 53 | | mean | 15.26 | | std | 8.96 | | cv | 0.587 | | sampleLengths | | 0 | 30 | | 1 | 12 | | 2 | 18 | | 3 | 18 | | 4 | 27 | | 5 | 4 | | 6 | 10 | | 7 | 12 | | 8 | 18 | | 9 | 11 | | 10 | 3 | | 11 | 16 | | 12 | 7 | | 13 | 15 | | 14 | 12 | | 15 | 24 | | 16 | 24 | | 17 | 12 | | 18 | 3 | | 19 | 10 | | 20 | 53 | | 21 | 13 | | 22 | 12 | | 23 | 32 | | 24 | 21 | | 25 | 12 | | 26 | 10 | | 27 | 12 | | 28 | 13 | | 29 | 18 | | 30 | 28 | | 31 | 9 | | 32 | 14 | | 33 | 30 | | 34 | 23 | | 35 | 19 | | 36 | 19 | | 37 | 15 | | 38 | 4 | | 39 | 7 | | 40 | 23 | | 41 | 8 | | 42 | 3 | | 43 | 4 | | 44 | 13 | | 45 | 9 | | 46 | 14 | | 47 | 12 | | 48 | 14 | | 49 | 8 |
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| 51.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.37735849056603776 | | totalSentences | 53 | | uniqueOpeners | 20 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 47 | | matches | | 0 | "She wiped her hands on" | | 1 | "She opened the door." | | 2 | "He stood framed in the" | | 3 | "His platinum blond hair, slicked" | | 4 | "His tailored charcoal suit looked" | | 5 | "He didn’t smile." | | 6 | "His amber eye, sharp and" | | 7 | "He didn’t move forward, just" | | 8 | "he said, his voice a" | | 9 | "He gestured vaguely towards the" | | 10 | "She didn’t flinch." | | 11 | "She stepped back, holding the" | | 12 | "He followed her inside, his" | | 13 | "He paused near the small" | | 14 | "He picked up a leather-bound" | | 15 | "She remembered the heat of" | | 16 | "She gestured towards the small" | | 17 | "He closed the book with" | | 18 | "He took a step closer," | | 19 | "His voice dropped, becoming a" |
| | ratio | 0.553 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 47 | | matches | | 0 | "The brass knocker echoed like" | | 1 | "Aurora Carter, her back pressed" | | 2 | "The knock wasn’t unexpected—she’d known" | | 3 | "She wiped her hands on" | | 4 | "She opened the door." | | 5 | "The hallway light, weak and" | | 6 | "He stood framed in the" | | 7 | "His platinum blond hair, slicked" | | 8 | "His tailored charcoal suit looked" | | 9 | "He didn’t smile." | | 10 | "His amber eye, sharp and" | | 11 | "The other, black and unreadable," | | 12 | "He didn’t move forward, just" | | 13 | "he said, his voice a" | | 14 | "The names rolled off his" | | 15 | "He gestured vaguely towards the" | | 16 | "She didn’t flinch." | | 17 | "She stepped back, holding the" | | 18 | "The cat, sensing movement, padded" | | 19 | "He followed her inside, his" |
| | ratio | 0.936 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "The scar on her wrist throbbed, a reminder of the fall that had ended their last, disastrous encounter." | | 1 | "Aurora felt the familiar heat rise in her cheeks, a blush that had nothing to do with the curry." | | 2 | "Ptolemy, sensing the tension, retreated to the safety of the bookshelf, his fur bristling." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, his voice a low rumble, smooth as aged whiskey" | | 1 | "He followed, his boots clicking on the worn linoleum" | | 2 | "He took, the ivory cane clicking softly on the floor" | | 3 | "She took, her voice low and dangerous" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0 | | effectiveRatio | 0 | |