| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 48 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0.111 | | effectiveRatio | 0.042 | |
| 88.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1318 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "very" |
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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) | |
| 77.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1318 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "familiar" | | 1 | "velvet" | | 2 | "silence" | | 3 | "tension" | | 4 | "methodical" |
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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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1329 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 839 | | uniqueNames | 9 | | maxNameDensity | 1.19 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 10 | | Ptolemy | 3 | | Evan | 1 | | French | 1 | | Marseille | 1 | | Soho | 1 | | Paris | 1 | | Rory | 9 | | Moreau | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Ptolemy" | | 2 | "Evan" | | 3 | "Rory" | | 4 | "Moreau" |
| | places | | 0 | "Marseille" | | 1 | "Soho" | | 2 | "Paris" |
| | globalScore | 0.904 | | windowScore | 0.833 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "quite read — something raw and unguarded, the mask slipped just enough to show the man beneath" |
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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 | 1329 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 21.44 | | std | 20.95 | | cv | 0.977 | | sampleLengths | | 0 | 56 | | 1 | 63 | | 2 | 47 | | 3 | 4 | | 4 | 53 | | 5 | 15 | | 6 | 5 | | 7 | 12 | | 8 | 17 | | 9 | 10 | | 10 | 72 | | 11 | 3 | | 12 | 58 | | 13 | 10 | | 14 | 4 | | 15 | 4 | | 16 | 9 | | 17 | 36 | | 18 | 6 | | 19 | 6 | | 20 | 2 | | 21 | 26 | | 22 | 3 | | 23 | 55 | | 24 | 31 | | 25 | 25 | | 26 | 13 | | 27 | 32 | | 28 | 5 | | 29 | 1 | | 30 | 18 | | 31 | 63 | | 32 | 51 | | 33 | 5 | | 34 | 2 | | 35 | 13 | | 36 | 79 | | 37 | 3 | | 38 | 27 | | 39 | 8 | | 40 | 2 | | 41 | 29 | | 42 | 33 | | 43 | 7 | | 44 | 1 | | 45 | 9 | | 46 | 41 | | 47 | 25 | | 48 | 3 | | 49 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 62.07% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 145 | | matches | | 0 | "was holding" | | 1 | "was watching" | | 2 | "were shaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 109 | | ratio | 0.064 | | matches | | 0 | "The knock came at half past ten, sharp and deliberate — three raps, a pause, then two more." | | 1 | "Up close, he looked tired — shadows under his mismatched eyes, a crease between his brows she didn't remember." | | 2 | "Lucien moved past her into the flat, his gaze sweeping the room in a single practiced motion — the stacks of books, the research notes pinned to the wall, the half-empty teacup on the coffee table." | | 3 | "She looked at him — really looked — and saw the exhaustion she'd noticed at the door, the faint tension in his shoulders, the way his fingers curled against his palm like he was holding himself back from reaching for her." | | 4 | "She grabbed the first-aid kit from under the sink — the one she'd bought after he'd patched her up months ago, after she'd fallen off her bike delivering an order in the rain." | | 5 | "He was watching her with an expression she couldn't quite read — something raw and unguarded, the mask slipped just enough to show the man beneath." | | 6 | "And because, despite every rational thought screaming at her to push him away, a part of her — the stubborn, reckless part that had fallen for him in the first place — was quietly, impossibly glad he was back." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 834 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03357314148681055 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008393285371702638 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 12.19 | | std | 11.54 | | cv | 0.947 | | sampleLengths | | 0 | 18 | | 1 | 4 | | 2 | 34 | | 3 | 16 | | 4 | 18 | | 5 | 17 | | 6 | 12 | | 7 | 6 | | 8 | 2 | | 9 | 39 | | 10 | 4 | | 11 | 18 | | 12 | 19 | | 13 | 11 | | 14 | 5 | | 15 | 15 | | 16 | 5 | | 17 | 4 | | 18 | 8 | | 19 | 17 | | 20 | 2 | | 21 | 4 | | 22 | 4 | | 23 | 4 | | 24 | 6 | | 25 | 41 | | 26 | 21 | | 27 | 3 | | 28 | 36 | | 29 | 15 | | 30 | 7 | | 31 | 10 | | 32 | 4 | | 33 | 4 | | 34 | 9 | | 35 | 25 | | 36 | 8 | | 37 | 3 | | 38 | 6 | | 39 | 6 | | 40 | 2 | | 41 | 4 | | 42 | 22 | | 43 | 3 | | 44 | 18 | | 45 | 37 | | 46 | 3 | | 47 | 17 | | 48 | 7 | | 49 | 4 |
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| 48.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3211009174311927 | | totalSentences | 109 | | uniqueOpeners | 35 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Then he reached up and" |
| | ratio | 0.016 | |
| 32.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 62 | | matches | | 0 | "She'd known it since university," | | 1 | "She set down Ptolemy, who'd" | | 2 | "She'd installed them after Evan," | | 3 | "She opened the door." | | 4 | "He'd always been immaculate, a" | | 5 | "Her name on his tongue" | | 6 | "He tilted his head." | | 7 | "He lowered his hand." | | 8 | "She should say no." | | 9 | "She knew she should say" | | 10 | "She'd watched him walk away," | | 11 | "It always had." | | 12 | "She heard her voice rise" | | 13 | "He set his cane against" | | 14 | "She'd never seen him do" | | 15 | "His voice dropped, quieter now," | | 16 | "She looked at him —" | | 17 | "He took a step closer," | | 18 | "She turned away, pressed her" | | 19 | "she said, not looking at" |
| | ratio | 0.468 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 62 | | matches | | 0 | "The knock came at half" | | 1 | "Rory knew that rhythm." | | 2 | "She'd known it since university," | | 3 | "She set down Ptolemy, who'd" | | 4 | "The flat smelled of curry" | | 5 | "The ivory handle of his" | | 6 | "Rory's hand hovered over the" | | 7 | "She'd installed them after Evan," | | 8 | "She opened the door." | | 9 | "Lucien stood in the narrow" | | 10 | "He'd always been immaculate, a" | | 11 | "Tonight, the edge seemed dulled." | | 12 | "Her name on his tongue" | | 13 | "He tilted his head." | | 14 | "He lowered his hand." | | 15 | "She should say no." | | 16 | "She knew she should say" | | 17 | "The last time she'd seen" | | 18 | "She'd watched him walk away," | | 19 | "Rory stepped aside." |
| | ratio | 0.903 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Because Lucien always noticed everything." |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "And because, despite every rational thought screaming at her to push him away, a part of her — the stubborn, reckless part that had fallen for him in the first …" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, not looking at him" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |