| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "she asked quietly [quietly]" | | 1 | "he said suddenly [suddenly]" |
| | dialogueSentences | 57 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0.167 | | effectiveRatio | 0.07 | |
| 88.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 834 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 58.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 834 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flickered" | | 1 | "eyebrow" | | 2 | "silence" | | 3 | "weight" | | 4 | "traced" | | 5 | "charged" | | 6 | "methodical" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 20 | | totalWords | 827 | | ratio | 0.024 | | matches | | 0 | "My girl." | | 1 | "from" | | 2 | "to" | | 3 | "Why’d you leave? Why’d you stay away so long? What the hell happened with Evan?" | | 4 | "did" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 53.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 519 | | uniqueNames | 8 | | maxNameDensity | 1.93 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Carter | 1 | | Silas | 10 | | Blackwood | 1 | | Aurora | 4 | | Like | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Aurora" |
| | places | | | globalScore | 0.537 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | 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 | 827 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 14.51 | | std | 10.36 | | cv | 0.714 | | sampleLengths | | 0 | 54 | | 1 | 27 | | 2 | 7 | | 3 | 31 | | 4 | 16 | | 5 | 24 | | 6 | 12 | | 7 | 12 | | 8 | 30 | | 9 | 5 | | 10 | 6 | | 11 | 23 | | 12 | 8 | | 13 | 19 | | 14 | 22 | | 15 | 18 | | 16 | 12 | | 17 | 19 | | 18 | 15 | | 19 | 15 | | 20 | 17 | | 21 | 8 | | 22 | 28 | | 23 | 5 | | 24 | 7 | | 25 | 17 | | 26 | 19 | | 27 | 7 | | 28 | 6 | | 29 | 16 | | 30 | 8 | | 31 | 20 | | 32 | 5 | | 33 | 26 | | 34 | 3 | | 35 | 11 | | 36 | 3 | | 37 | 23 | | 38 | 24 | | 39 | 5 | | 40 | 6 | | 41 | 9 | | 42 | 4 | | 43 | 12 | | 44 | 3 | | 45 | 40 | | 46 | 13 | | 47 | 7 | | 48 | 4 | | 49 | 17 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 65.32% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 99 | | matches | | 0 | "was trying" | | 1 | "wasn’t asking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 114 | | ratio | 0.053 | | matches | | 0 | "The bar smelled of aged wood and something sharper—whiskey, maybe, or the ghost of old secrets." | | 1 | "She turned, and there he was—Silas Blackwood, leaning against the bar like he owned the place." | | 2 | "The bar was quiet tonight—just a few regulars hunched over their drinks, the kind of people who knew better than to eavesdrop." | | 3 | "He studied her—really studied her, like he was trying to reconcile the woman in front of him with the girl he’d known." | | 4 | "She could see the questions in his eyes—the ones he wasn’t asking." | | 5 | "And maybe—just maybe—she wanted the excuse to stick around." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 528 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.03598484848484849 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005681818181818182 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 7.25 | | std | 4.66 | | cv | 0.642 | | sampleLengths | | 0 | 17 | | 1 | 12 | | 2 | 9 | | 3 | 16 | | 4 | 7 | | 5 | 11 | | 6 | 9 | | 7 | 7 | | 8 | 3 | | 9 | 7 | | 10 | 16 | | 11 | 5 | | 12 | 9 | | 13 | 7 | | 14 | 16 | | 15 | 8 | | 16 | 5 | | 17 | 7 | | 18 | 7 | | 19 | 5 | | 20 | 8 | | 21 | 22 | | 22 | 5 | | 23 | 2 | | 24 | 4 | | 25 | 19 | | 26 | 4 | | 27 | 5 | | 28 | 3 | | 29 | 15 | | 30 | 4 | | 31 | 13 | | 32 | 9 | | 33 | 11 | | 34 | 7 | | 35 | 4 | | 36 | 8 | | 37 | 6 | | 38 | 13 | | 39 | 6 | | 40 | 9 | | 41 | 4 | | 42 | 11 | | 43 | 5 | | 44 | 12 | | 45 | 5 | | 46 | 3 | | 47 | 7 | | 48 | 21 | | 49 | 5 |
| |
| 70.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.43859649122807015 | | totalSentences | 114 | | uniqueOpeners | 50 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | 0 | "Instead, he reached under the" |
| | ratio | 0.016 | |
| 23.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 61 | | matches | | 0 | "His hazel eyes narrowed just" | | 1 | "She turned, and there he" | | 2 | "Her voice came out steadier" | | 3 | "He wiped his hands on" | | 4 | "She exhaled through her nose." | | 5 | "She hesitated, then slid onto" | | 6 | "He nodded at her wrist," | | 7 | "She tugged her cuff down." | | 8 | "She took a sip, let" | | 9 | "He leaned against the counter," | | 10 | "She met his gaze." | | 11 | "He crossed his arms" | | 12 | "She swirled the whiskey" | | 13 | "She shot him a look." | | 14 | "He chuckled, low and dry." | | 15 | "He held up his hands." | | 16 | "She drained her glass." | | 17 | "He tapped his signet ring" | | 18 | "she asked quietly" | | 19 | "His expression darkened." |
| | ratio | 0.492 | |
| 41.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 61 | | matches | | 0 | "The green neon sign of" | | 1 | "The door swung open, letting" | | 2 | "Aurora Carter stepped inside, shaking" | | 3 | "The bar smelled of aged" | | 4 | "Silas looked up from polishing" | | 5 | "His hazel eyes narrowed just" | | 6 | "The glass hit the counter" | | 7 | "Aurora froze mid-step." | | 8 | "The voice was older, rougher," | | 9 | "She turned, and there he" | | 10 | "Her voice came out steadier" | | 11 | "He wiped his hands on" | | 12 | "She exhaled through her nose." | | 13 | "Silas gestured to the stool" | | 14 | "She hesitated, then slid onto" | | 15 | "The bar was quiet tonight—just" | | 16 | "He nodded at her wrist," | | 17 | "She tugged her cuff down." | | 18 | "Silas poured two fingers of" | | 19 | "She took a sip, let" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 2 | | matches | | 0 | "The bar was quiet tonight—just a few regulars hunched over their drinks, the kind of people who knew better than to eavesdrop." | | 1 | "*My girl.* Like she was still the reckless twenty-year-old who’d followed him into half-baked schemes just for the thrill of it." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |