| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 3 | | adverbTags | | 0 | "He glanced around [around]" | | 1 | "Colin asked quietly [quietly]" | | 2 | "Aurora's lips curved slightly [slightly]" |
| | dialogueSentences | 85 | | tagDensity | 0.259 | | leniency | 0.518 | | rawRatio | 0.136 | | effectiveRatio | 0.071 | |
| 77.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1531 | | totalAiIsmAdverbs | 7 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "deliberately" | | 1 | "carefully" | | 2 | "sharply" | | 3 | "slowly" | | 4 | "really" | | 5 | "slightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 70.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1531 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "anticipation" | | 1 | "fleeting" | | 2 | "eyebrow" | | 3 | "potential" | | 4 | "lilt" | | 5 | "complex" | | 6 | "silence" | | 7 | "traced" | | 8 | "weight" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1533 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 877 | | uniqueNames | 11 | | maxNameDensity | 2.74 | | worstName | "Aurora" | | maxWindowNameDensity | 6 | | worstWindowName | "Colin" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Aurora | 24 | | Tuesday | 1 | | Silas | 8 | | Golden | 1 | | Empress | 1 | | Fletcher | 1 | | Cardiff | 1 | | Colin | 22 | | Eva | 1 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Silas" | | 3 | "Empress" | | 4 | "Fletcher" | | 5 | "Colin" | | 6 | "Eva" |
| | places | | | globalScore | 0.132 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1533 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 150 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 86 | | mean | 17.83 | | std | 12.9 | | cv | 0.724 | | sampleLengths | | 0 | 60 | | 1 | 20 | | 2 | 12 | | 3 | 40 | | 4 | 6 | | 5 | 1 | | 6 | 24 | | 7 | 55 | | 8 | 5 | | 9 | 27 | | 10 | 28 | | 11 | 6 | | 12 | 10 | | 13 | 19 | | 14 | 22 | | 15 | 39 | | 16 | 38 | | 17 | 33 | | 18 | 15 | | 19 | 3 | | 20 | 23 | | 21 | 2 | | 22 | 23 | | 23 | 14 | | 24 | 7 | | 25 | 6 | | 26 | 26 | | 27 | 9 | | 28 | 43 | | 29 | 22 | | 30 | 2 | | 31 | 3 | | 32 | 23 | | 33 | 4 | | 34 | 5 | | 35 | 14 | | 36 | 16 | | 37 | 33 | | 38 | 9 | | 39 | 5 | | 40 | 39 | | 41 | 11 | | 42 | 4 | | 43 | 12 | | 44 | 11 | | 45 | 11 | | 46 | 7 | | 47 | 30 | | 48 | 5 | | 49 | 29 |
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| 97.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 89 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 170 | | matches | | |
| 9.52% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 150 | | ratio | 0.047 | | matches | | 0 | "In his place stood someone Aurora hardly recognized – tailored suit under the expensive coat, hair styled with professional precision, no glasses at all." | | 1 | "\"I never expected to find you here.\" His accent had changed – the Cardiff lilt softened into something more deliberately neutral." | | 2 | "She gave a slight shake of her head – no need for concern." | | 3 | "His presence was reassuring – he'd intervene if needed." | | 4 | "Colin checked his watch – platinum, probably – and sighed." | | 5 | "As he shrugged on his expensive coat, Aurora saw glimpses of the boy she'd known – in the way he pushed his hair back, in his hesitation before leaving." | | 6 | "Then he was gone, leaving Aurora with a business card, memories, and the uncomfortable weight of choices that had led them both to this moment – neither quite who they'd planned to be, carrying regrets like stones in their pockets." |
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| 99.12% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 634 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.04100946372239748 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012618296529968454 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 10.22 | | std | 7.39 | | cv | 0.723 | | sampleLengths | | 0 | 24 | | 1 | 19 | | 2 | 17 | | 3 | 6 | | 4 | 12 | | 5 | 2 | | 6 | 5 | | 7 | 7 | | 8 | 20 | | 9 | 11 | | 10 | 9 | | 11 | 6 | | 12 | 1 | | 13 | 21 | | 14 | 3 | | 15 | 3 | | 16 | 18 | | 17 | 10 | | 18 | 24 | | 19 | 5 | | 20 | 7 | | 21 | 20 | | 22 | 7 | | 23 | 21 | | 24 | 6 | | 25 | 10 | | 26 | 17 | | 27 | 2 | | 28 | 10 | | 29 | 8 | | 30 | 4 | | 31 | 13 | | 32 | 10 | | 33 | 13 | | 34 | 3 | | 35 | 23 | | 36 | 15 | | 37 | 33 | | 38 | 11 | | 39 | 4 | | 40 | 3 | | 41 | 13 | | 42 | 10 | | 43 | 2 | | 44 | 8 | | 45 | 9 | | 46 | 6 | | 47 | 11 | | 48 | 3 | | 49 | 7 |
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| 62.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4 | | totalSentences | 150 | | uniqueOpeners | 60 | |
| 39.22% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 85 | | matches | | 0 | "Then he was gone, leaving" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 85 | | matches | | 0 | "she finally managed" | | 1 | "He reached for his signet" | | 2 | "His accent had changed –" | | 3 | "He glanced around the bar" | | 4 | "She gave a slight shake" | | 5 | "She slid in across from" | | 6 | "she asked, struggling to reconcile" | | 7 | "He studied her face" | | 8 | "He paused as Silas delivered" | | 9 | "His voice remained controlled, but" | | 10 | "She wouldn't have." | | 11 | "He met her eyes directly" | | 12 | "He leaned forward" | | 13 | "His voice softened" | | 14 | "He absorbed this, nodded slowly." | | 15 | "His presence was reassuring –" | | 16 | "He finished his scotch" | | 17 | "He gestured at himself" | | 18 | "She touched her wrist where" | | 19 | "He reached into his jacket" |
| | ratio | 0.259 | |
| 24.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 85 | | matches | | 0 | "The rain tapped a restless," | | 1 | "Aurora paused to stretch her" | | 2 | "Silas nodded without looking up." | | 3 | "The door swung open with" | | 4 | "Aurora turned to offer a" | | 5 | "The cloth slipped from her" | | 6 | "The man's head snapped up," | | 7 | "Aurora couldn't move." | | 8 | "Colin Fletcher stood in the" | | 9 | "The gangly physics student with" | | 10 | "she finally managed" | | 11 | "Silas looked between them, one" | | 12 | "He reached for his signet" | | 13 | "Colin crossed the room with" | | 14 | "His accent had changed –" | | 15 | "Aurora's fingers twitched toward the" | | 16 | "Colin's eyes tracked the movement," | | 17 | "He glanced around the bar" | | 18 | "Aurora nodded toward a booth" | | 19 | "Silas caught her eye, a" |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "Then he was gone, leaving Aurora with a business card, memories, and the uncomfortable weight of choices that had led them both to this moment – neither quite w…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 85 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0 | | effectiveRatio | 0 | |