| 98.31% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "He turned back [back]" | | 1 | "she said quickly [quickly]" | | 2 | "she said softly [softly]" |
| | dialogueSentences | 59 | | tagDensity | 0.305 | | leniency | 0.61 | | rawRatio | 0.167 | | effectiveRatio | 0.102 | |
| 64.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1272 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "lightly" | | 1 | "suddenly" | | 2 | "slightly" | | 3 | "slowly" | | 4 | "sharply" | | 5 | "quickly" | | 6 | "softly" | | 7 | "truly" |
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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) | |
| 72.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1272 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "familiar" | | 1 | "velvet" | | 2 | "charged" | | 3 | "shimmered" | | 4 | "unspoken" | | 5 | "weight" | | 6 | "silence" |
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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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 8 | | totalWords | 1283 | | ratio | 0.006 | | matches | | 0 | "us" | | 1 | "in" | | 2 | "did" | | 3 | "You." | | 4 | "her" | | 5 | "is" | | 6 | "months." | | 7 | "Laila" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 823 | | uniqueNames | 7 | | maxNameDensity | 0.49 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | London | 1 | | Rory | 3 | | Eva | 1 | | French | 2 | | English | 1 | | Lucien | 4 | | Ptolemy | 3 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "English" | | 3 | "Lucien" | | 4 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.779 | | wordCount | 1283 | | matches | | 0 | "not just to escape, but to steal a moment" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 19.15 | | std | 18.14 | | cv | 0.947 | | sampleLengths | | 0 | 74 | | 1 | 66 | | 2 | 3 | | 3 | 9 | | 4 | 63 | | 5 | 1 | | 6 | 16 | | 7 | 18 | | 8 | 25 | | 9 | 5 | | 10 | 3 | | 11 | 9 | | 12 | 48 | | 13 | 21 | | 14 | 18 | | 15 | 50 | | 16 | 5 | | 17 | 5 | | 18 | 8 | | 19 | 24 | | 20 | 8 | | 21 | 6 | | 22 | 23 | | 23 | 9 | | 24 | 7 | | 25 | 25 | | 26 | 22 | | 27 | 3 | | 28 | 35 | | 29 | 2 | | 30 | 4 | | 31 | 3 | | 32 | 12 | | 33 | 7 | | 34 | 4 | | 35 | 57 | | 36 | 6 | | 37 | 10 | | 38 | 32 | | 39 | 45 | | 40 | 58 | | 41 | 8 | | 42 | 17 | | 43 | 3 | | 44 | 6 | | 45 | 35 | | 46 | 4 | | 47 | 17 | | 48 | 4 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 145 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 114 | | ratio | 0.079 | | matches | | 0 | "Ptolemy meowed from the other side of the door before she’d even turned the key — the old tabby always seemed to know when she was coming." | | 1 | "She had blocked his number six months ago, after the last time — after the message he’d left in French, words soft and aching and full of regret, words she hadn’t let herself translate until three in the morning with a bottle of cheap wine in her hand." | | 2 | "She hadn’t meant to say them — not with that edge, not with that tremor beneath them." | | 3 | "His mouth on hers, careful at first, then desperate — as if he could press all his secrets into a single kiss." | | 4 | "A childhood accident, yes — but also the first sigil she’d ever drawn, the first spell she’d cast, the night she’d discovered she wasn’t just human." | | 5 | "She looked at him then — truly looked." | | 6 | "He didn’t hand it to her — just placed it on the table between them." | | 7 | "She remembered the first time he’d called her *Laila* — a name from an old prophecy, one he claimed was hers in another life." | | 8 | "She glanced at him then, catching his gaze — the strange, beautiful disparity of his eyes holding hers with a weight that made her chest ache." |
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| 95.37% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 817 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04528763769889841 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01346389228886169 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 11.25 | | std | 9.05 | | cv | 0.804 | | sampleLengths | | 0 | 32 | | 1 | 15 | | 2 | 27 | | 3 | 18 | | 4 | 12 | | 5 | 10 | | 6 | 26 | | 7 | 3 | | 8 | 9 | | 9 | 23 | | 10 | 20 | | 11 | 20 | | 12 | 1 | | 13 | 3 | | 14 | 6 | | 15 | 7 | | 16 | 12 | | 17 | 6 | | 18 | 5 | | 19 | 15 | | 20 | 5 | | 21 | 5 | | 22 | 3 | | 23 | 5 | | 24 | 4 | | 25 | 48 | | 26 | 21 | | 27 | 5 | | 28 | 8 | | 29 | 5 | | 30 | 17 | | 31 | 11 | | 32 | 22 | | 33 | 5 | | 34 | 5 | | 35 | 3 | | 36 | 5 | | 37 | 13 | | 38 | 11 | | 39 | 3 | | 40 | 5 | | 41 | 6 | | 42 | 23 | | 43 | 3 | | 44 | 6 | | 45 | 7 | | 46 | 8 | | 47 | 17 | | 48 | 15 | | 49 | 7 |
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| 46.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.2982456140350877 | | totalSentences | 114 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 63 | | matches | | 0 | "Her keys jingled in her" | | 1 | "She turned the first deadbolt," | | 2 | "His platinum-blond hair was slicked" | | 3 | "Her breath caught." | | 4 | "She stood rooted, heart hammering." | | 5 | "He tilted his head slightly." | | 6 | "She had blocked his number" | | 7 | "she said, toeing off her" | | 8 | "he agreed, rising slowly" | | 9 | "He didn’t reach for her," | | 10 | "She dropped her keys on" | | 11 | "Her black hair curled slightly" | | 12 | "She avoided his gaze as" | | 13 | "She turned then." | | 14 | "he said, almost amused" | | 15 | "She hadn’t meant to say" | | 16 | "He looked away, just for" | | 17 | "He turned back, voice quiet" | | 18 | "she said quickly" | | 19 | "She flushed, remembering moonlit rooftops," |
| | ratio | 0.619 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 63 | | matches | | 0 | "The rain had been falling" | | 1 | "Her keys jingled in her" | | 2 | "Ptolemy meowed from the other" | | 3 | "She turned the first deadbolt," | | 4 | "The familiar scent of old" | | 5 | "Rain tapped against the grimy" | | 6 | "Books spilled from sagging shelves," | | 7 | "A man, tall even seated," | | 8 | "His platinum-blond hair was slicked" | | 9 | "The lamplight caught the odd" | | 10 | "Her breath caught." | | 11 | "The door clicked shut behind" | | 12 | "Ptolemy, undisturbed, wound himself around" | | 13 | "Lucien said, his voice a" | | 14 | "She stood rooted, heart hammering." | | 15 | "The air suddenly felt too" | | 16 | "He tilted his head slightly." | | 17 | "She had blocked his number" | | 18 | "she said, toeing off her" | | 19 | "he agreed, rising slowly" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "The rain had been falling for three days straight, a relentless London drizzle that clung to Rory’s coat and seeped into her boots as she climbed the narrow sta…" | | 1 | "His mouth on hers, careful at first, then desperate — as if he could press all his secrets into a single kiss." | | 2 | "But sometimes, in dreams, she saw a woman in silver robes, a crescent scar glowing on her wrist, standing before a door of starlight." | | 3 | "She glanced at him then, catching his gaze — the strange, beautiful disparity of his eyes holding hers with a weight that made her chest ache." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 4 | | matches | | 0 | "Lucien said, his voice a velvet murmur in the cramped room" | | 1 | "He turned back, voice quiet now" | | 2 | "he said, voice low" | | 3 | "he said, the faintest smile touching his lips," |
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| 82.20% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 4 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "she whispered (whisper)" | | 2 | "he agreed (agree)" | | 3 | "she murmured (murmur)" |
| | dialogueSentences | 59 | | tagDensity | 0.288 | | leniency | 0.576 | | rawRatio | 0.235 | | effectiveRatio | 0.136 | |