| 70.37% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 54 | | adverbTagCount | 7 | | adverbTags | | 0 | "The word struck like [like]" | | 1 | "His voice shivered around [around]" | | 2 | "he said softly [softly]" | | 3 | "he said simply [simply]" | | 4 | "Rory asked again [again]" | | 5 | "she said slowly [slowly]" | | 6 | "she said finally [finally]" |
| | dialogueSentences | 99 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0.13 | | effectiveRatio | 0.13 | |
| 93.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2480 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "deliberately" | | 1 | "softly" | | 2 | "slowly" |
| |
| 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) | |
| 83.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2480 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "silence" | | 1 | "tracing" | | 2 | "flicked" | | 3 | "fluttered" | | 4 | "mechanical" | | 5 | "navigate" | | 6 | "treacherous" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 162 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 162 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 205 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2466 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 51 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1618 | | uniqueNames | 16 | | maxNameDensity | 1.24 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 3 | | Ireland | 2 | | Cardiff | 1 | | Brendan | 1 | | Jennifer | 1 | | Evan | 3 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Rory | 20 | | Lucien | 12 | | Papers | 1 | | Welsh | 1 | | Ptolemy | 5 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Eva" | | 1 | "Brendan" | | 2 | "Jennifer" | | 3 | "Evan" | | 4 | "Yu-Fei" | | 5 | "Rory" | | 6 | "Lucien" | | 7 | "Papers" | | 8 | "Ptolemy" |
| | places | | 0 | "Ireland" | | 1 | "Cardiff" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 0.882 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 9 | | matches | | 0 | "felt like a child's joke" | | 1 | "as if allowing the words to set like resin" | | 2 | "as if listening to an answer that wasn't spoken" | | 3 | "felt like survival" | | 4 | "felt like it had been tilted and the fu" | | 5 | "seemed possible" | | 6 | "felt like a treacherous thing" | | 7 | "felt like a boat in motion" | | 8 | "as if closing a book you shouldn't" |
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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 | 2466 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 205 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 79 | | mean | 31.22 | | std | 21.61 | | cv | 0.692 | | sampleLengths | | 0 | 11 | | 1 | 7 | | 2 | 60 | | 3 | 37 | | 4 | 9 | | 5 | 74 | | 6 | 9 | | 7 | 95 | | 8 | 7 | | 9 | 78 | | 10 | 15 | | 11 | 28 | | 12 | 50 | | 13 | 24 | | 14 | 39 | | 15 | 54 | | 16 | 34 | | 17 | 7 | | 18 | 35 | | 19 | 37 | | 20 | 36 | | 21 | 47 | | 22 | 23 | | 23 | 62 | | 24 | 7 | | 25 | 52 | | 26 | 2 | | 27 | 32 | | 28 | 8 | | 29 | 48 | | 30 | 34 | | 31 | 59 | | 32 | 18 | | 33 | 24 | | 34 | 14 | | 35 | 38 | | 36 | 34 | | 37 | 38 | | 38 | 31 | | 39 | 4 | | 40 | 20 | | 41 | 88 | | 42 | 12 | | 43 | 16 | | 44 | 2 | | 45 | 48 | | 46 | 6 | | 47 | 41 | | 48 | 9 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 162 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 305 | | matches | | 0 | "was not announcing" | | 1 | "was leaving" | | 2 | "was, looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 6 | | flaggedSentences | 14 | | totalSentences | 205 | | ratio | 0.068 | | matches | | 0 | "One eye took the room in—amber, careful." | | 1 | "The other watched like something that did not need permission—black as a wound." | | 2 | "He had two hands in his pockets, and the cuff of his sleeve let a sliver of pale skin show with a crescent scarged across it—no mistake." | | 3 | "Someone had marked a line of cities with a fountain pen; one of the cities was Cardiff." | | 4 | "The scent that came with him was old books and something green—basil?" | | 5 | "He kept his hand on the cane, not touching the handle; he was not announcing intentions." | | 6 | "She had imagined reasons too—work, danger, indifference—but none fit the shape of being left." | | 7 | "The scar had been a careless bend of a childhood blade; it had become a map of things she had survived." | | 8 | "A pamphlet about Welsh legal reforms slid and fluttered to the floor; Ptolemy sniffed it and turned away." | | 9 | "\"You were one of those people who noticed.\" The room hummed with leftover heat from the kettle in Eva's kitchen; someone below was still at the shop, stirring rice." | | 10 | "She wanted also to imagine him kissing her—the memory of a mouth on hers before any good reason had appeared—and to feel that dull ache of unsaid things." | | 11 | "Evan had been the other map in her life; he'd been a closed agenda of anger and conditioning." | | 12 | "She had left him like one left a room on fire—with frantic fumbling and a determination that felt like survival." | | 13 | "She had thought about this moment a thousand times—an apology, a fight, a reconciliation that smelled of old perfume and fresh coffee." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1630 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.02392638036809816 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0036809815950920245 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 205 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 205 | | mean | 12.03 | | std | 7.7 | | cv | 0.64 | | sampleLengths | | 0 | 11 | | 1 | 7 | | 2 | 10 | | 3 | 13 | | 4 | 17 | | 5 | 7 | | 6 | 13 | | 7 | 10 | | 8 | 9 | | 9 | 18 | | 10 | 9 | | 11 | 10 | | 12 | 20 | | 13 | 9 | | 14 | 27 | | 15 | 8 | | 16 | 9 | | 17 | 2 | | 18 | 21 | | 19 | 14 | | 20 | 17 | | 21 | 22 | | 22 | 9 | | 23 | 10 | | 24 | 7 | | 25 | 3 | | 26 | 12 | | 27 | 2 | | 28 | 28 | | 29 | 16 | | 30 | 6 | | 31 | 11 | | 32 | 11 | | 33 | 4 | | 34 | 4 | | 35 | 24 | | 36 | 8 | | 37 | 22 | | 38 | 14 | | 39 | 3 | | 40 | 3 | | 41 | 3 | | 42 | 13 | | 43 | 8 | | 44 | 5 | | 45 | 15 | | 46 | 19 | | 47 | 10 | | 48 | 23 | | 49 | 21 |
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| 38.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.25365853658536586 | | totalSentences | 205 | | uniqueOpeners | 52 | |
| 25.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 129 | | matches | | 0 | "Only a few people knew" |
| | ratio | 0.008 | |
| 27.75% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 129 | | matches | | 0 | "He stepped into the hallway" | | 1 | "Her palm smelled of printer" | | 2 | "He closed the door with" | | 3 | "He had two hands in" | | 4 | "He watched that scar instead" | | 5 | "She remembered Brendan's strain in" | | 6 | "She remembered Evan's jaw as" | | 7 | "He stepped closer." | | 8 | "It made her think of" | | 9 | "He kept his hand on" | | 10 | "He smiled without humour." | | 11 | "She had imagined his face" | | 12 | "She had imagined reasons too—work," | | 13 | "Her voice shortened." | | 14 | "He exhaled, slow." | | 15 | "His eyes, yellow and too" | | 16 | "Her hands found the scar" | | 17 | "Her jaw tightened." | | 18 | "He folded his hands behind" | | 19 | "He laughed once, a sound" |
| | ratio | 0.481 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 129 | | matches | | 0 | "The door opened before she" | | 1 | "He stepped into the hallway" | | 2 | "The ivory knob of his" | | 3 | "A strip of rain clung" | | 4 | "The other watched like something" | | 5 | "Rory pressed the chain with" | | 6 | "Her palm smelled of printer" | | 7 | "Ptolemy flattened his ears and" | | 8 | "He closed the door with" | | 9 | "The deadbolts had been there" | | 10 | "Tonight the locks had felt" | | 11 | "He had two hands in" | | 12 | "He watched that scar instead" | | 13 | "Books crowded the room, a" | | 14 | "The lamp over the sofa" | | 15 | "Someone had marked a line" | | 16 | "She remembered Brendan's strain in" | | 17 | "She remembered Evan's jaw as" | | 18 | "The room had never held" | | 19 | "He stepped closer." |
| | ratio | 0.938 | |
| 38.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 129 | | matches | | | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 4 | | matches | | 0 | "The other watched like something that did not need permission—black as a wound." | | 1 | "Books crowded the room, a sprawl of spines and loose pages that made the air smell like dust and lemon oil." | | 2 | "His eyes, yellow and too old for a tabby, watched Lucien with a suspicion that belonged to cats alone." | | 3 | "To imagine Evan as a mapologist who collected people like stamps made her skin ripple." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 54 | | uselessAdditionCount | 2 | | matches | | 0 | "he said softly, and the words landed like small stones" | | 1 | "she asked, an accusation braided with fear" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 38 | | fancyCount | 1 | | fancyTags | | 0 | "Lucien corrected (correct)" |
| | dialogueSentences | 99 | | tagDensity | 0.384 | | leniency | 0.768 | | rawRatio | 0.026 | | effectiveRatio | 0.02 | |