| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 684 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 12.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 684 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "charged" | | 2 | "electric" | | 3 | "tracing" | | 4 | "whisper" | | 5 | "silence" | | 6 | "stomach" | | 7 | "flicked" | | 8 | "unspoken" | | 9 | "tension" | | 10 | "pulse" | | 11 | "looming" |
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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 | 48 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 5 | | totalWords | 676 | | ratio | 0.007 | | matches | | 0 | "Remembering how it hurt." | | 1 | "her" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 564 | | uniqueNames | 5 | | maxNameDensity | 1.06 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 1 | | Lucien | 5 | | Carter | 1 | | Aurora | 6 | | Ptolemy | 2 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Carter" | | 3 | "Aurora" | | 4 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.968 | | windowScore | 1 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like she was exactly where she was" |
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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 | 676 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 29.39 | | std | 22.13 | | cv | 0.753 | | sampleLengths | | 0 | 92 | | 1 | 63 | | 2 | 8 | | 3 | 65 | | 4 | 8 | | 5 | 35 | | 6 | 60 | | 7 | 23 | | 8 | 18 | | 9 | 26 | | 10 | 17 | | 11 | 17 | | 12 | 28 | | 13 | 24 | | 14 | 7 | | 15 | 25 | | 16 | 10 | | 17 | 20 | | 18 | 51 | | 19 | 21 | | 20 | 6 | | 21 | 11 | | 22 | 41 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 48 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 105 | | matches | | 0 | "was thinking" | | 1 | "wasn’t asking" | | 2 | "was just standing" | | 3 | "was running" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 64 | | ratio | 0.063 | | matches | | 0 | "The moment the lock clicked, the air in the cramped space thickened, charged with something older than the scent of aged tea and old books—something sharp, electric." | | 1 | "The cane he carried—ivory-handled, blade concealed—rested against the wall beside him, its polished surface catching the light." | | 2 | "\"I came for the city. Not you.\" But his eyes—amber and black, shifting like a storm cloud—burned into hers." | | 3 | "Lucien reached out, his fingers brushing hers—just for a second—before she could pull away." |
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| 96.76% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 572 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.043706293706293704 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008741258741258742 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 10.56 | | std | 7.29 | | cv | 0.69 | | sampleLengths | | 0 | 23 | | 1 | 27 | | 2 | 6 | | 3 | 32 | | 4 | 4 | | 5 | 14 | | 6 | 17 | | 7 | 17 | | 8 | 9 | | 9 | 6 | | 10 | 5 | | 11 | 3 | | 12 | 4 | | 13 | 15 | | 14 | 15 | | 15 | 22 | | 16 | 9 | | 17 | 3 | | 18 | 5 | | 19 | 13 | | 20 | 19 | | 21 | 3 | | 22 | 9 | | 23 | 29 | | 24 | 17 | | 25 | 3 | | 26 | 2 | | 27 | 19 | | 28 | 4 | | 29 | 10 | | 30 | 8 | | 31 | 9 | | 32 | 13 | | 33 | 4 | | 34 | 11 | | 35 | 6 | | 36 | 9 | | 37 | 8 | | 38 | 18 | | 39 | 10 | | 40 | 13 | | 41 | 6 | | 42 | 5 | | 43 | 3 | | 44 | 4 | | 45 | 5 | | 46 | 20 | | 47 | 6 | | 48 | 4 | | 49 | 15 |
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| 43.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.296875 | | totalSentences | 64 | | uniqueOpeners | 19 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 45 | | matches | | 0 | "Then, the faintest rustle of" | | 1 | "Instead, he stepped forward, closer" | | 2 | "Instead, she exhaled, the sound" |
| | ratio | 0.067 | |
| 68.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 45 | | matches | | 0 | "She stood at the window," | | 1 | "He wore a charcoal suit," | | 2 | "he said, voice low, almost" | | 3 | "His fingers twitched toward the" | | 4 | "Her breath hitched." | | 5 | "He smirked, that crooked, knowing" | | 6 | "He didn’t move." | | 7 | "She crossed her arms, the" | | 8 | "His voice was rough, like" | | 9 | "She scoffed, but her fingers" | | 10 | "He stepped closer, the cane" | | 11 | "He tilted his head, studying" | | 12 | "She opened her mouth to" | | 13 | "She wasn’t asking for anything." | | 14 | "She was just standing there," | | 15 | "He smiled, that crooked, dangerous" | | 16 | "She felt like she was" |
| | ratio | 0.378 | |
| 37.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 45 | | matches | | 0 | "The front door of Eva’s" | | 1 | "The moment the lock clicked," | | 2 | "Aurora Carter didn’t turn around" | | 3 | "She stood at the window," | | 4 | "Lucien exhaled, slow and deliberate," | | 5 | "The cane he carried—ivory—handled, blade" | | 6 | "He wore a charcoal suit," | | 7 | "he said, voice low, almost" | | 8 | "Aurora didn’t look at him." | | 9 | "A beat of silence." | | 10 | "His fingers twitched toward the" | | 11 | "Her breath hitched." | | 12 | "He smirked, that crooked, knowing" | | 13 | "The flat was small, but" | | 14 | "Bookshelves lined the walls, their" | | 15 | "Ptolemy, the tabby cat, blinked" | | 16 | "He didn’t move." | | 17 | "Aurora turned slowly, her black" | | 18 | "Lucien’s gaze flicked to the" | | 19 | "The words hung between them," |
| | ratio | 0.844 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 45 | | matches | | | ratio | 0.022 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 6 | | matches | | 0 | "She stood at the window, the city’s neon glow bleeding through the grimy panes, her fingers tracing the scar on her wrist, the one that had been there since she…" | | 1 | "Lucien exhaled, slow and deliberate, as if he’d been holding his breath for years." | | 2 | "Aurora turned slowly, her black hair falling just past her shoulders, the scar on her wrist catching the light." | | 3 | "The cat, Ptolemy, let out a low, satisfied mew, as if he understood the tension better than either of them." | | 4 | "He tilted his head, studying her, the way he always had when he was thinking." | | 5 | "She was just standing there, in the same flat she’d left behind, the same city that had swallowed her whole, and she wasn’t sure she wanted to go back." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice low, almost a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 22 | | tagDensity | 0.136 | | leniency | 0.273 | | rawRatio | 0.333 | | effectiveRatio | 0.091 | |