| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 4 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "He stood suddenly [suddenly]" | | 2 | "he said again [again]" | | 3 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 56 | | tagDensity | 0.536 | | leniency | 1 | | rawRatio | 0.133 | | effectiveRatio | 0.133 | |
| 92.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1345 | | 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) | |
| 62.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1345 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "warmth" | | 2 | "standard" | | 3 | "familiar" | | 4 | "glinting" | | 5 | "silence" | | 6 | "measured" | | 7 | "whisper" |
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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 | 2 | | narrationSentences | 86 | | matches | | 0 | "was grateful" | | 1 | "was nervous" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1344 | | ratio | 0.005 | | matches | | 0 | "If you ever need to disappear." | | 1 | "want" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 930 | | uniqueNames | 12 | | maxNameDensity | 0.86 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Dean | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Blackwood | 1 | | Silas | 8 | | Cardiff | 2 | | Prague | 1 | | Budapest | 1 | | London | 4 | | Rory | 7 | | Eva | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Silas" | | 4 | "Rory" | | 5 | "Eva" |
| | places | | 0 | "Dean" | | 1 | "Street" | | 2 | "Cardiff" | | 3 | "Prague" | | 4 | "Budapest" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1344 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 112 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 28.6 | | std | 23.95 | | cv | 0.838 | | sampleLengths | | 0 | 60 | | 1 | 42 | | 2 | 1 | | 3 | 20 | | 4 | 71 | | 5 | 8 | | 6 | 37 | | 7 | 43 | | 8 | 4 | | 9 | 12 | | 10 | 13 | | 11 | 11 | | 12 | 23 | | 13 | 4 | | 14 | 35 | | 15 | 14 | | 16 | 79 | | 17 | 21 | | 18 | 25 | | 19 | 27 | | 20 | 3 | | 21 | 7 | | 22 | 51 | | 23 | 2 | | 24 | 19 | | 25 | 30 | | 26 | 40 | | 27 | 14 | | 28 | 62 | | 29 | 3 | | 30 | 19 | | 31 | 84 | | 32 | 7 | | 33 | 80 | | 34 | 4 | | 35 | 56 | | 36 | 23 | | 37 | 4 | | 38 | 73 | | 39 | 1 | | 40 | 39 | | 41 | 39 | | 42 | 39 | | 43 | 12 | | 44 | 58 | | 45 | 12 | | 46 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 112 | | ratio | 0.009 | | matches | | 0 | "But he still held himself the way he always had—shoulders squared, chin lifted, as if the world owed him an explanation." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 935 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.034224598930481284 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0074866310160427805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 12 | | std | 9.31 | | cv | 0.776 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 9 | | 3 | 5 | | 4 | 8 | | 5 | 6 | | 6 | 22 | | 7 | 14 | | 8 | 1 | | 9 | 18 | | 10 | 2 | | 11 | 26 | | 12 | 2 | | 13 | 22 | | 14 | 21 | | 15 | 6 | | 16 | 2 | | 17 | 10 | | 18 | 19 | | 19 | 8 | | 20 | 5 | | 21 | 5 | | 22 | 10 | | 23 | 23 | | 24 | 4 | | 25 | 8 | | 26 | 4 | | 27 | 10 | | 28 | 3 | | 29 | 5 | | 30 | 6 | | 31 | 16 | | 32 | 7 | | 33 | 4 | | 34 | 13 | | 35 | 11 | | 36 | 11 | | 37 | 6 | | 38 | 8 | | 39 | 9 | | 40 | 34 | | 41 | 36 | | 42 | 5 | | 43 | 5 | | 44 | 5 | | 45 | 6 | | 46 | 3 | | 47 | 2 | | 48 | 20 | | 49 | 12 |
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| 42.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3392857142857143 | | totalSentences | 112 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 77 | | matches | | 0 | "Somewhere, a record scratched through" | | 1 | "Somewhere, the jazz record skipped" | | 2 | "Then he was gone, the" | | 3 | "Then she stood, pushed through" |
| | ratio | 0.052 | |
| 27.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 77 | | matches | | 0 | "She hadn't planned to come" | | 1 | "She'd planned to walk past," | | 2 | "Her voice came out rough" | | 3 | "He set the glass down" | | 4 | "She slid into the booth." | | 5 | "She touched it self-consciously" | | 6 | "He tasted the word" | | 7 | "She ordered a gin and" | | 8 | "He counted on his fingers," | | 9 | "It was full of everything" | | 10 | "He'd given her the number." | | 11 | "She'd used it." | | 12 | "she said, because silence had" | | 13 | "She gestured vaguely upward" | | 14 | "She laughed, a brittle sound" | | 15 | "His hazel eyes moved over" | | 16 | "He reached for his whisky," | | 17 | "His hand hovered over the" | | 18 | "He shrugged, that old gesture," | | 19 | "He tapped his chest" |
| | ratio | 0.481 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 77 | | matches | | 0 | "The green neon sign flickered" | | 1 | "Rory pushed through, shaking rain" | | 2 | "The scent of spilled ale" | | 3 | "Maps yellowing on the walls." | | 4 | "She hadn't planned to come" | | 5 | "She'd planned to walk past," | | 6 | "The voice came from the" | | 7 | "Silas Blackwood sat with his" | | 8 | "The auburn in his hair" | | 9 | "Her voice came out rough" | | 10 | "He set the glass down" | | 11 | "The limp was worse than" | | 12 | "She slid into the booth." | | 13 | "The leather cracked beneath her." | | 14 | "Silas smiled, and it didn't" | | 15 | "She touched it self-consciously" | | 16 | "He tasted the word" | | 17 | "She ordered a gin and" | | 18 | "He counted on his fingers," | | 19 | "The silence between them wasn't" |
| | ratio | 0.857 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | | ratio | 0.013 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 5 | | matches | | 0 | "A girl playing at being a woman, all sharp edges and borrowed confidence, fleeing Cardiff and an engagement she'd never wanted and a father who'd measured her w…" | | 1 | "Silas had been her father's friend, a man who'd appeared at their door with whisky and stories of Prague and Budapest, who'd looked at her with something that w…" | | 2 | "His hazel eyes moved over her face with the same assessment she remembered from childhood, when he'd watched her across her father's dinner table, when he'd ask…" | | 3 | "She thought of the years since, the careful distance she'd maintained from everyone, the terror that had kept her from reaching out, from letting anyone in, fro…" | | 4 | "She watched him go, his tall frame moving through the bar with that familiar limp, the quiet authority that had never quite left him even now." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 5 | | matches | | 0 | "He counted on, the signet ring glinting" | | 1 | "He shrugged, that old gesture, casual and terrible" | | 2 | "He laughed, hollow" | | 3 | "He stopped, his jaw tightening" | | 4 | "Silas reached, his hand hovering near hers, not quite touching" |
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| 96.43% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "she whispered (whisper)" | | 2 | "He laughed (laugh)" |
| | dialogueSentences | 56 | | tagDensity | 0.161 | | leniency | 0.321 | | rawRatio | 0.333 | | effectiveRatio | 0.107 | |