| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said simply [simply]" | | 1 | "she said fiercely [fiercely]" |
| | dialogueSentences | 46 | | tagDensity | 0.413 | | leniency | 0.826 | | rawRatio | 0.105 | | effectiveRatio | 0.087 | |
| 67.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1225 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 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) | |
| 55.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1225 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echo" | | 2 | "silence" | | 3 | "velvet" | | 4 | "glistening" | | 5 | "flickered" | | 6 | "trembled" | | 7 | "flawless" | | 8 | "tension" | | 9 | "pawn" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1207 | | ratio | 0.003 | | matches | | 0 | "know" | | 1 | "managed" | | 2 | "Beside" | | 3 | "if" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 1 | | matches | | 0 | "Somewhere beyond the flat, London breathed on, unaware." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 789 | | uniqueNames | 16 | | maxNameDensity | 0.63 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Eva | 4 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | French | 1 | | Moreau | 1 | | Blackwater | 1 | | Lucien | 3 | | Silence | 2 | | Rory | 5 | | Clear | 1 | | Tears | 1 | | London | 1 | | Ptolemy | 4 |
| | persons | | 0 | "Eva" | | 1 | "Carter" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Rory" | | 5 | "Tears" | | 6 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Golden" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like armor lately, something to hi" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.829 | | wordCount | 1207 | | matches | | 0 | "not out of need, but restraint" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 21.95 | | std | 17.58 | | cv | 0.801 | | sampleLengths | | 0 | 60 | | 1 | 61 | | 2 | 19 | | 3 | 12 | | 4 | 4 | | 5 | 20 | | 6 | 23 | | 7 | 60 | | 8 | 9 | | 9 | 37 | | 10 | 7 | | 11 | 5 | | 12 | 82 | | 13 | 33 | | 14 | 9 | | 15 | 9 | | 16 | 42 | | 17 | 2 | | 18 | 22 | | 19 | 32 | | 20 | 5 | | 21 | 28 | | 22 | 16 | | 23 | 17 | | 24 | 16 | | 25 | 18 | | 26 | 4 | | 27 | 52 | | 28 | 4 | | 29 | 51 | | 30 | 3 | | 31 | 23 | | 32 | 30 | | 33 | 21 | | 34 | 22 | | 35 | 26 | | 36 | 23 | | 37 | 29 | | 38 | 25 | | 39 | 43 | | 40 | 12 | | 41 | 6 | | 42 | 8 | | 43 | 10 | | 44 | 29 | | 45 | 18 | | 46 | 8 | | 47 | 5 | | 48 | 21 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 143 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 12 | | totalSentences | 121 | | ratio | 0.099 | | matches | | 0 | "Three deadbolts guarded the door—Eva’s paranoia, born of too many late-night research sessions on cursed artifacts and restless spirits." | | 1 | "Her uniform from Golden Empress—the red-and-gold apron, the cap now tossed aside—felt like armor lately, something to hide behind." | | 2 | "Not Eva—Eva would be jiggling the handle, calling her name through the wood." | | 3 | "His amber eye caught the light from the hallway bulb; the other, black as obsidian, seemed to absorb it." | | 4 | "“Rory.” His gaze flickered over her—the black hair falling just past her shoulders, the bright blue eyes narrowed in wary assessment, the way she stood slightly off-balance, ready to pull the door shut." | | 5 | "And then there was the kiss—brief, desperate, stolen in the shadow of an alley three weeks before the argument." | | 6 | "Despite the rain, his suit was flawless—charcoal wool, impeccably tailored." | | 7 | "Malphora—the name she’d worn as a cover during the Blackwater job, the alias that had nearly gotten Lucien killed." | | 8 | "“Because I should have told you how I felt before I let you walk away.” He looked at her, really looked at her—eyes searching, unguarded." | | 9 | "She looked at him—really looked." | | 10 | "At the man who had lied, withheld, but who had also saved her life without hesitation—twice." | | 11 | "Their kiss was nothing like the one in the alley—all restraint and stolen time." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 649 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03389830508474576 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009244992295839754 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 9.98 | | std | 7.97 | | cv | 0.799 | | sampleLengths | | 0 | 23 | | 1 | 19 | | 2 | 18 | | 3 | 19 | | 4 | 19 | | 5 | 23 | | 6 | 4 | | 7 | 1 | | 8 | 1 | | 9 | 13 | | 10 | 9 | | 11 | 3 | | 12 | 4 | | 13 | 2 | | 14 | 16 | | 15 | 2 | | 16 | 3 | | 17 | 20 | | 18 | 13 | | 19 | 13 | | 20 | 19 | | 21 | 15 | | 22 | 9 | | 23 | 33 | | 24 | 4 | | 25 | 3 | | 26 | 4 | | 27 | 5 | | 28 | 6 | | 29 | 24 | | 30 | 8 | | 31 | 29 | | 32 | 15 | | 33 | 19 | | 34 | 6 | | 35 | 8 | | 36 | 9 | | 37 | 9 | | 38 | 3 | | 39 | 10 | | 40 | 13 | | 41 | 16 | | 42 | 2 | | 43 | 3 | | 44 | 19 | | 45 | 4 | | 46 | 19 | | 47 | 5 | | 48 | 4 | | 49 | 5 |
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| 60.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.38016528925619836 | | totalSentences | 121 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 73 | | matches | | 0 | "Just stood there, waiting." | | 1 | "Then she crossed the room," | | 2 | "Then, slowly, she closed the" | | 3 | "Somewhere beyond the flat, London" |
| | ratio | 0.055 | |
| 39.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 73 | | matches | | 0 | "Her uniform from Golden Empress—the" | | 1 | "She heard the knock." | | 2 | "Her breath caught." | | 3 | "She stared at the door" | | 4 | "He stood in the dim" | | 5 | "His amber eye caught the" | | 6 | "she said, the name brittle" | | 7 | "His gaze flickered over her—the" | | 8 | "She didn’t move." | | 9 | "he said simply" | | 10 | "She’d told him she didn’t" | | 11 | "He’d offered her safety, and" | | 12 | "she said, voice low" | | 13 | "She studied him." | | 14 | "He exhaled, slow." | | 15 | "Her blood turned cold." | | 16 | "It wasn’t just an alias." | | 17 | "It was a target." | | 18 | "she whispered, but her hand" | | 19 | "he cut in, softer now" |
| | ratio | 0.452 | |
| 69.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 73 | | matches | | 0 | "The rain had turned Brick" | | 1 | "Ptolemy, the tabby cat, lifted" | | 2 | "Rory Carter stood at the" | | 3 | "Her uniform from Golden Empress—the" | | 4 | "The scar on her left" | | 5 | "She heard the knock." | | 6 | "Rory approached the door, barefoot" | | 7 | "Velvet and smoke, with just" | | 8 | "Her breath caught." | | 9 | "She stared at the door" | | 10 | "He stood in the dim" | | 11 | "Water dripped from the brim" | | 12 | "His amber eye caught the" | | 13 | "The ivory-handled cane rested in" | | 14 | "she said, the name brittle" | | 15 | "His gaze flickered over her—the" | | 16 | "She didn’t move." | | 17 | "he said simply" | | 18 | "A breath trembled in her" | | 19 | "The last time she’d seen" |
| | ratio | 0.781 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "Ptolemy, sensing the shift, padded across the room and wound himself around Rory’s legs, purring." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice low" | | 1 | "she whispered, but her hand pressed against the doorframe, bracing" |
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| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 4 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he continued (continue)" | | 2 | "he admitted (admit)" | | 3 | "he agreed (agree)" |
| | dialogueSentences | 46 | | tagDensity | 0.326 | | leniency | 0.652 | | rawRatio | 0.267 | | effectiveRatio | 0.174 | |