| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 65 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1750 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 65.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1750 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "traced" | | 1 | "silence" | | 2 | "pulse" | | 3 | "whisper" | | 4 | "measured" | | 5 | "fractured" | | 6 | "echo" | | 7 | "footsteps" | | 8 | "remarkable" | | 9 | "pulsed" | | 10 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 135 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 183 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 9 | | totalWords | 1750 | | ratio | 0.005 | | matches | | 0 | "I'm sorry it took sardines to bring me back." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 29 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1253 | | uniqueNames | 13 | | maxNameDensity | 1.28 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Ptolemy | 8 | | Eva | 7 | | English | 1 | | Rory | 16 | | Lucien | 11 | | British | 1 | | Library | 1 | | Merlot | 1 | | Silence | 1 | | Brick | 2 | | Lane | 2 | | Cardiff | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Lucien" |
| | places | | 0 | "British" | | 1 | "Library" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "Cardiff" |
| | globalScore | 0.862 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like a personal offence" | | 1 | "smelled like wine and burnt garlic, while" | | 2 | "felt like staring at a sunrise and a bl" | | 3 | "not quite but the ghost of one" | | 4 | "felt like someone else's heartbeat" |
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| 85.71% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.143 | | wordCount | 1750 | | matches | | 0 | "Not a smile, not quite, but the ghost of one" | | 1 | "not quite, but the ghost of one" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 183 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 87 | | mean | 20.11 | | std | 21.13 | | cv | 1.051 | | sampleLengths | | 0 | 6 | | 1 | 94 | | 2 | 32 | | 3 | 6 | | 4 | 21 | | 5 | 14 | | 6 | 4 | | 7 | 5 | | 8 | 4 | | 9 | 37 | | 10 | 84 | | 11 | 5 | | 12 | 6 | | 13 | 4 | | 14 | 48 | | 15 | 3 | | 16 | 11 | | 17 | 72 | | 18 | 7 | | 19 | 39 | | 20 | 6 | | 21 | 34 | | 22 | 1 | | 23 | 1 | | 24 | 2 | | 25 | 28 | | 26 | 15 | | 27 | 2 | | 28 | 4 | | 29 | 97 | | 30 | 23 | | 31 | 4 | | 32 | 9 | | 33 | 18 | | 34 | 49 | | 35 | 3 | | 36 | 4 | | 37 | 2 | | 38 | 21 | | 39 | 31 | | 40 | 4 | | 41 | 7 | | 42 | 36 | | 43 | 5 | | 44 | 37 | | 45 | 49 | | 46 | 10 | | 47 | 31 | | 48 | 17 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 135 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 217 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 183 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1258 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.031001589825119236 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006359300476947536 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 183 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 183 | | mean | 9.56 | | std | 8.56 | | cv | 0.895 | | sampleLengths | | 0 | 2 | | 1 | 4 | | 2 | 26 | | 3 | 4 | | 4 | 31 | | 5 | 5 | | 6 | 28 | | 7 | 6 | | 8 | 26 | | 9 | 6 | | 10 | 2 | | 11 | 6 | | 12 | 7 | | 13 | 1 | | 14 | 5 | | 15 | 5 | | 16 | 3 | | 17 | 6 | | 18 | 4 | | 19 | 5 | | 20 | 4 | | 21 | 16 | | 22 | 21 | | 23 | 18 | | 24 | 16 | | 25 | 11 | | 26 | 3 | | 27 | 17 | | 28 | 19 | | 29 | 5 | | 30 | 6 | | 31 | 4 | | 32 | 4 | | 33 | 38 | | 34 | 6 | | 35 | 3 | | 36 | 11 | | 37 | 11 | | 38 | 5 | | 39 | 14 | | 40 | 10 | | 41 | 24 | | 42 | 3 | | 43 | 5 | | 44 | 7 | | 45 | 21 | | 46 | 7 | | 47 | 11 | | 48 | 6 | | 49 | 25 |
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| 56.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.366120218579235 | | totalSentences | 183 | | uniqueOpeners | 67 | |
| 30.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 109 | | matches | | | ratio | 0.009 | |
| 84.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 109 | | matches | | 0 | "She'd thrown all three." | | 1 | "She could pretend she wasn't" | | 2 | "She'd forgotten how it sounded" | | 3 | "She hadn't forgotten a thing." | | 4 | "Her fingers hovered over the" | | 5 | "His mismatched eyes moved over" | | 6 | "She didn't step aside." | | 7 | "Her sleeve rode up and" | | 8 | "He'd traced that scar once," | | 9 | "She'd been laughing." | | 10 | "He'd been watching her mouth." | | 11 | "she said, and stepped aside" | | 12 | "He entered the flat the" | | 13 | "His cane tapped once against" | | 14 | "She crossed to the kitchen," | | 15 | "She filled the kettle." | | 16 | "She heard him settle into" | | 17 | "His black eye absorbed the" | | 18 | "She'd once told him, half-drunk" | | 19 | "She'd heard it exactly once" |
| | ratio | 0.339 | |
| 60.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 109 | | matches | | 0 | "She'd thrown all three." | | 1 | "Rory pressed her eye to" | | 2 | "Lucien Moreau stood on the" | | 3 | "Both fixed on the peephole" | | 4 | "She could pretend she wasn't" | | 5 | "The thought lasted exactly two" | | 6 | "French vowels wrapped around English" | | 7 | "She'd forgotten how it sounded" | | 8 | "She hadn't forgotten a thing." | | 9 | "Rory undid the first deadbolt." | | 10 | "Her fingers hovered over the" | | 11 | "Rory turned the third lock" | | 12 | "The smell of cumin and" | | 13 | "Lucien looked exactly the same," | | 14 | "His mismatched eyes moved over" | | 15 | "She didn't step aside." | | 16 | "Ptolemy threaded between her ankles," | | 17 | "The words landed between them" | | 18 | "Rory gripped the door's edge." | | 19 | "Her sleeve rode up and" |
| | ratio | 0.798 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 4 | | matches | | 0 | "She crossed to the kitchen, which occupied roughly four square feet of counter space between a tower of Eva's grimoire translations and an ancient kettle." | | 1 | "She'd once told him, half-drunk on cheap Merlot, that looking at his eyes felt like staring at a sunrise and a black hole at the same time." | | 2 | "Lucien crossed the small flat in three steps and stopped close enough that she could smell him, cedar and something darker, something that reminded her of smoke…" | | 3 | "The scar pulsed, once, with a warmth that felt like someone else's heartbeat." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | 0 | "Rory muttered (mutter)" |
| | dialogueSentences | 65 | | tagDensity | 0.215 | | leniency | 0.431 | | rawRatio | 0.071 | | effectiveRatio | 0.031 | |