| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 2 | | adverbTags | | 0 | "half-rose sat again [again]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 56 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.091 | | effectiveRatio | 0.071 | |
| 85.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1773 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "really" | | 2 | "very" | | 3 | "slowly" |
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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) | |
| 91.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1773 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "flicked" | | 1 | "traced" | | 2 | "structure" |
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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 | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | (empty) | | 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 | 101 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1786 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 904 | | uniqueNames | 14 | | maxNameDensity | 0.77 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 2 | | Nest | 2 | | November | 1 | | Brewer | 1 | | Street | 1 | | Golden | 1 | | Empress | 1 | | Camden | 1 | | Silas | 7 | | Balkans | 2 | | Cardiff | 1 | | Aurora | 5 | | Evan | 5 | | Upstairs | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Empress" | | 3 | "Silas" | | 4 | "Balkans" | | 5 | "Aurora" | | 6 | "Evan" |
| | places | | 0 | "Brewer" | | 1 | "Street" | | 2 | "Camden" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "as if anchoring himself to it" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.56 | | wordCount | 1786 | | matches | | 0 | "not to, but I want you to know I looked" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 30.79 | | std | 29.75 | | cv | 0.966 | | sampleLengths | | 0 | 71 | | 1 | 44 | | 2 | 22 | | 3 | 4 | | 4 | 80 | | 5 | 1 | | 6 | 35 | | 7 | 26 | | 8 | 33 | | 9 | 15 | | 10 | 23 | | 11 | 17 | | 12 | 25 | | 13 | 5 | | 14 | 1 | | 15 | 2 | | 16 | 12 | | 17 | 48 | | 18 | 6 | | 19 | 22 | | 20 | 6 | | 21 | 38 | | 22 | 36 | | 23 | 1 | | 24 | 3 | | 25 | 41 | | 26 | 29 | | 27 | 58 | | 28 | 40 | | 29 | 7 | | 30 | 1 | | 31 | 101 | | 32 | 46 | | 33 | 38 | | 34 | 8 | | 35 | 99 | | 36 | 21 | | 37 | 8 | | 38 | 121 | | 39 | 125 | | 40 | 25 | | 41 | 76 | | 42 | 3 | | 43 | 25 | | 44 | 41 | | 45 | 16 | | 46 | 40 | | 47 | 38 | | 48 | 37 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 150 | | matches | | 0 | "wasn't reading" | | 1 | "was sitting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 112 | | ratio | 0.054 | | matches | | 0 | "His eyes lifted, caught hers, then flicked sideways — a small gesture, almost nothing, but she'd learned in six months of living above this bar that nothing Silas did was almost nothing." | | 1 | "But it was the face that stopped her breath — softer now, heavier, the jaw she'd once traced with a fingertip blurred by years and good dinners." | | 2 | "He laughed — a short, startled sound, and for a second he was twenty-two again, sitting on the floor of her Cardiff flat eating chips off newspaper, arguing about whether her father's legal anecdotes counted as literature." | | 3 | "The bitter was cold and honest and she made herself taste it instead of the memory — the splintered doorframe, her own voice coming out of her like it belonged to a stranger, the neighbours' light clicking on." | | 4 | "Five years ago she'd have left, or cried, or — worst of all — comforted him." | | 5 | "He laid notes on the table — too many, far too many — and she didn't insult them both by pushing them back." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1085 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.030414746543778803 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0018433179723502304 | |
| 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 | 15.95 | | std | 17.93 | | cv | 1.124 | | sampleLengths | | 0 | 18 | | 1 | 22 | | 2 | 22 | | 3 | 3 | | 4 | 2 | | 5 | 4 | | 6 | 12 | | 7 | 32 | | 8 | 13 | | 9 | 9 | | 10 | 4 | | 11 | 34 | | 12 | 7 | | 13 | 12 | | 14 | 27 | | 15 | 1 | | 16 | 9 | | 17 | 26 | | 18 | 15 | | 19 | 11 | | 20 | 15 | | 21 | 18 | | 22 | 15 | | 23 | 2 | | 24 | 5 | | 25 | 16 | | 26 | 10 | | 27 | 7 | | 28 | 11 | | 29 | 7 | | 30 | 7 | | 31 | 5 | | 32 | 1 | | 33 | 2 | | 34 | 12 | | 35 | 37 | | 36 | 11 | | 37 | 6 | | 38 | 12 | | 39 | 10 | | 40 | 6 | | 41 | 16 | | 42 | 22 | | 43 | 8 | | 44 | 28 | | 45 | 1 | | 46 | 2 | | 47 | 1 | | 48 | 41 | | 49 | 4 |
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| 67.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4375 | | totalSentences | 112 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 66 | | matches | | 0 | "Somewhere behind the bookshelf, the" | | 1 | "Then he reached for his" |
| | ratio | 0.03 | |
| 80.61% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 66 | | matches | | 0 | "His eyes lifted, caught hers," | | 1 | "He set the glass down" | | 2 | "She followed his gaze." | | 3 | "He looked up, and something" | | 4 | "He half-rose, sat again, as" | | 5 | "She kept her hand on" | | 6 | "She carried the glass over" | | 7 | "He laughed — a short," | | 8 | "He turned the tumbler in" | | 9 | "He stared into the whisky" | | 10 | "She leaned forward, and the" | | 11 | "He covered his face with" | | 12 | "He dropped his hand" | | 13 | "His eyes were red but" | | 14 | "he said quietly" | | 15 | "He gave a cracked half-smile" | | 16 | "She was sitting with their" | | 17 | "He nodded slowly, like a" | | 18 | "he said, standing" | | 19 | "He laid notes on the" |
| | ratio | 0.348 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 66 | | matches | | 0 | "The green neon sign above" | | 1 | "Aurora pushed through the door" | | 2 | "The Golden Empress's last order" | | 3 | "A pint first." | | 4 | "That was the arrangement." | | 5 | "Silas stood behind the bar" | | 6 | "His eyes lifted, caught hers," | | 7 | "He set the glass down" | | 8 | "She followed his gaze." | | 9 | "The man sat at the" | | 10 | "A camel coat over the" | | 11 | "The name came out before" | | 12 | "He looked up, and something" | | 13 | "He half-rose, sat again, as" | | 14 | "She kept her hand on" | | 15 | "The scar on her left" | | 16 | "The word landed wrong, sideways." | | 17 | "Silas slid the pint across" | | 18 | "She carried the glass over" | | 19 | "That felt important, keeping the" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "Silas stood behind the bar polishing a glass that didn't need polishing." | | 1 | "The man sat at the corner table beneath a yellowed map of the Balkans, one hand wrapped around a tumbler of whisky, the other flat on the wood as if anchoring h…" | | 2 | "But it was the face that stopped her breath — softer now, heavier, the jaw she'd once traced with a fingertip blurred by years and good dinners." | | 3 | "Silas limped over, collected Evan's tumbler, and began wiping down a table that didn't need it, giving her the mercy of his turned back." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 1 | | matches | | 0 | "She leaned, and the jacket creaked" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 56 | | tagDensity | 0.179 | | leniency | 0.357 | | rawRatio | 0.1 | | effectiveRatio | 0.036 | |