| 50.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "The words tasted like [like]" | | 2 | "she repeated flatly [flatly]" |
| | dialogueSentences | 34 | | tagDensity | 0.588 | | leniency | 1 | | rawRatio | 0.15 | | effectiveRatio | 0.15 | |
| 58.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1324 | | totalAiIsmAdverbs | 11 | | found | | | highlights | | 0 | "completely" | | 1 | "very" | | 2 | "softly" | | 3 | "carefully" | | 4 | "really" |
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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) | |
| 62.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1324 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "intensity" | | 1 | "predator" | | 2 | "tenderness" | | 3 | "chaotic" | | 4 | "familiar" | | 5 | "footsteps" | | 6 | "constructed" | | 7 | "weight" | | 8 | "eyebrow" | | 9 | "traced" |
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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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1313 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.91% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1028 | | uniqueNames | 16 | | maxNameDensity | 1.36 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Unannounced | 1 | | Thursday | 1 | | Ptolemy | 2 | | Lucien | 14 | | Moreau | 1 | | Rory | 9 | | French | 1 | | English | 1 | | Eva | 5 | | Lighter | 1 | | Bloomsbury | 1 | | Cardiff | 1 | | Evan | 2 | | Concern | 1 | | Yu-Fei | 1 | | Click | 3 |
| | persons | | 0 | "Ptolemy" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "English" | | 5 | "Eva" | | 6 | "Evan" |
| | places | | | globalScore | 0.819 | | windowScore | 0.833 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like exactly the kind of place Ror" | | 1 | "quite name" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.762 | | wordCount | 1313 | | matches | | 0 | "neither an answer to his observation nor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 32.02 | | std | 21.98 | | cv | 0.686 | | sampleLengths | | 0 | 2 | | 1 | 34 | | 2 | 41 | | 3 | 5 | | 4 | 29 | | 5 | 38 | | 6 | 77 | | 7 | 12 | | 8 | 12 | | 9 | 37 | | 10 | 4 | | 11 | 23 | | 12 | 45 | | 13 | 39 | | 14 | 59 | | 15 | 16 | | 16 | 52 | | 17 | 11 | | 18 | 38 | | 19 | 69 | | 20 | 13 | | 21 | 74 | | 22 | 21 | | 23 | 6 | | 24 | 30 | | 25 | 8 | | 26 | 79 | | 27 | 4 | | 28 | 38 | | 29 | 24 | | 30 | 10 | | 31 | 51 | | 32 | 40 | | 33 | 23 | | 34 | 11 | | 35 | 56 | | 36 | 54 | | 37 | 55 | | 38 | 51 | | 39 | 14 | | 40 | 8 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 90 | | matches | | 0 | "been engineered" | | 1 | "been terrified" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 180 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 103 | | ratio | 0.097 | | matches | | 0 | "Eva's flat had three deadbolts for a reason—friends called ahead, and enemies could go to hell." | | 1 | "His heterochromatic eyes—one amber, one black as obsidian—fixed on her with the intensity of a predator recognizing prey." | | 2 | "Rory considered the option—the hallway had witnesses, which felt safer than being alone with him." | | 3 | "The flat was exactly as chaotic as Lucien would have expected—Eva's flat always was." | | 4 | "\"You look well,\" Lucien said, and she heard the truth beneath it—that she looked different." | | 5 | "He studied the chaos of Eva's workspace the way he studied everything—as if he could read the secrets written in the margins." | | 6 | "It had taken Lucien's intervention to get her out—Lucien, who'd appeared like some exquisitely tailored avenging angel and made very quiet threats in very dangerous language." | | 7 | "When he looked at her again, something in his expression had shifted—become less guarded." | | 8 | "He was close enough now that she could smell his cologne—something expensive and dangerous, with notes of smoke and something older than human." | | 9 | "But his hand was warm against her skin, and his eyes—one amber, one black—held the same hunger she felt burning in her own chest." |
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| 84.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1045 | | adjectiveStacks | 1 | | stackExamples | | 0 | "warm, curry-scented air" |
| | adverbCount | 53 | | adverbRatio | 0.05071770334928229 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.01818181818181818 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 12.75 | | std | 9.51 | | cv | 0.746 | | sampleLengths | | 0 | 20 | | 1 | 16 | | 2 | 12 | | 3 | 29 | | 4 | 5 | | 5 | 13 | | 6 | 16 | | 7 | 18 | | 8 | 17 | | 9 | 1 | | 10 | 1 | | 11 | 1 | | 12 | 49 | | 13 | 10 | | 14 | 18 | | 15 | 7 | | 16 | 5 | | 17 | 12 | | 18 | 17 | | 19 | 20 | | 20 | 4 | | 21 | 6 | | 22 | 17 | | 23 | 15 | | 24 | 7 | | 25 | 5 | | 26 | 18 | | 27 | 23 | | 28 | 6 | | 29 | 1 | | 30 | 9 | | 31 | 14 | | 32 | 16 | | 33 | 10 | | 34 | 19 | | 35 | 12 | | 36 | 2 | | 37 | 2 | | 38 | 15 | | 39 | 1 | | 40 | 36 | | 41 | 11 | | 42 | 15 | | 43 | 3 | | 44 | 16 | | 45 | 4 | | 46 | 15 | | 47 | 22 | | 48 | 8 | | 49 | 24 |
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| 70.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.47572815533980584 | | totalSentences | 103 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 44.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 75 | | matches | | 0 | "She didn't open the door." | | 1 | "His heterochromatic eyes—one amber, one" | | 2 | "she asked, not moving from" | | 3 | "His French accent flavored his" | | 4 | "His mouth quirked at one" | | 5 | "She stepped back and Ptolemy" | | 6 | "He'd always been good with" | | 7 | "It looked like exactly the" | | 8 | "They'd stayed away from each" | | 9 | "She was fine." | | 10 | "She'd built something approximating fine" | | 11 | "He studied the chaos of" | | 12 | "His movements were precise, economical," | | 13 | "She'd once known the exact" | | 14 | "he said finally, turning to" | | 15 | "She'd fled Cardiff because of" | | 16 | "She'd left him after two" | | 17 | "It had taken Lucien's intervention" | | 18 | "He took a step closer" | | 19 | "His voice dropped lower" |
| | ratio | 0.44 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 75 | | matches | | 0 | "# Unannounced The knock came" | | 1 | "Eva's flat had three deadbolts" | | 2 | "Rory set down her tea," | | 3 | "She didn't open the door." | | 4 | "Lucien's voice came through the" | | 5 | "Ptolemy was, in fact, making" | | 6 | "Rory sighed, setting the grimoire" | | 7 | "The ivory handle of his" | | 8 | "His heterochromatic eyes—one amber, one" | | 9 | "That was the complicated part." | | 10 | "she asked, not moving from" | | 11 | "His French accent flavored his" | | 12 | "His mouth quirked at one" | | 13 | "Rory considered the option—the hallway" | | 14 | "She stepped back and Ptolemy" | | 15 | "Lucien's expression softened as the" | | 16 | "He'd always been good with" | | 17 | "The flat was exactly as" | | 18 | "The curry house downstairs perfumed" | | 19 | "It looked like exactly the" |
| | ratio | 0.8 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "To maintain the distance she'd" |
| | ratio | 0.013 | |
| 27.03% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 6 | | matches | | 0 | "When she opened the door, Lucien Moreau was exactly as she remembered: impeccably dressed despite the late hour, his tailored charcoal suit sharp enough to cut,…" | | 1 | "Rory considered the option—the hallway had witnesses, which felt safer than being alone with him." | | 2 | "Less haunted than the last time he'd seen her, three months ago in a bar in Bloomsbury where the meeting had been engineered by mutual friends who hadn't believ…" | | 3 | "He studied the chaos of Eva's workspace the way he studied everything—as if he could read the secrets written in the margins." | | 4 | "It had taken Lucien's intervention to get her out—Lucien, who'd appeared like some exquisitely tailored avenging angel and made very quiet threats in very dange…" | | 5 | "Rory's bright blue eyes held his mismatched ones, and she felt the weight of two years of absence, of hurt carefully buried, of attraction that had never entire…" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, not moving from the threshold" | | 1 | "he said finally, turning to face her" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "she repeated flatly (repeat)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.2 | | effectiveRatio | 0.118 | |