| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 149 | | tagDensity | 0.114 | | leniency | 0.228 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2094 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 88.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2094 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "trembled" | | 1 | "flicked" | | 2 | "weight" | | 3 | "measured" | | 4 | "silence" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 267 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2094 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 39 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.93% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1160 | | uniqueNames | 8 | | maxNameDensity | 2.24 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Soho | 1 | | Yu-Fei | 1 | | Silas | 26 | | Prague | 1 | | Aurora | 16 |
| | persons | | 0 | "Nest" | | 1 | "Carter" | | 2 | "Yu-Fei" | | 3 | "Silas" | | 4 | "Aurora" |
| | places | | | globalScore | 0.379 | | windowScore | 0.5 | |
| 88.27% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite hiding the movement" | | 1 | "seemed deliberate now, a boundary neither could cross without admitting what they wanted from the other" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2094 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 267 | | matches | | 0 | "known that scar" | | 1 | "watching that ring" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 199 | | mean | 10.52 | | std | 13.57 | | cv | 1.29 | | sampleLengths | | 0 | 22 | | 1 | 63 | | 2 | 7 | | 3 | 2 | | 4 | 11 | | 5 | 5 | | 6 | 5 | | 7 | 10 | | 8 | 27 | | 9 | 7 | | 10 | 9 | | 11 | 3 | | 12 | 8 | | 13 | 50 | | 14 | 10 | | 15 | 11 | | 16 | 3 | | 17 | 4 | | 18 | 16 | | 19 | 11 | | 20 | 89 | | 21 | 7 | | 22 | 4 | | 23 | 5 | | 24 | 5 | | 25 | 19 | | 26 | 5 | | 27 | 3 | | 28 | 13 | | 29 | 43 | | 30 | 5 | | 31 | 3 | | 32 | 9 | | 33 | 5 | | 34 | 7 | | 35 | 5 | | 36 | 7 | | 37 | 88 | | 38 | 4 | | 39 | 12 | | 40 | 3 | | 41 | 3 | | 42 | 3 | | 43 | 3 | | 44 | 7 | | 45 | 11 | | 46 | 30 | | 47 | 10 | | 48 | 6 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 210 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 267 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 855 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.021052631578947368 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0011695906432748538 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 267 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 267 | | mean | 7.84 | | std | 6.4 | | cv | 0.815 | | sampleLengths | | 0 | 22 | | 1 | 14 | | 2 | 13 | | 3 | 27 | | 4 | 6 | | 5 | 3 | | 6 | 7 | | 7 | 2 | | 8 | 11 | | 9 | 5 | | 10 | 5 | | 11 | 5 | | 12 | 5 | | 13 | 7 | | 14 | 20 | | 15 | 7 | | 16 | 9 | | 17 | 3 | | 18 | 8 | | 19 | 8 | | 20 | 13 | | 21 | 29 | | 22 | 10 | | 23 | 8 | | 24 | 3 | | 25 | 3 | | 26 | 4 | | 27 | 16 | | 28 | 3 | | 29 | 8 | | 30 | 15 | | 31 | 39 | | 32 | 5 | | 33 | 8 | | 34 | 22 | | 35 | 7 | | 36 | 4 | | 37 | 5 | | 38 | 5 | | 39 | 9 | | 40 | 10 | | 41 | 5 | | 42 | 3 | | 43 | 7 | | 44 | 6 | | 45 | 7 | | 46 | 27 | | 47 | 9 | | 48 | 5 | | 49 | 3 |
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| 45.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.21348314606741572 | | totalSentences | 267 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 117 | | matches | | 0 | "Even the chess players fell" | | 1 | "Somewhere below them, a pipe" | | 2 | "Once, after she had run" | | 3 | "Instead, she sat." |
| | ratio | 0.034 | |
| 59.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 117 | | matches | | 0 | "She had spent the last" | | 1 | "She ignored it." | | 2 | "He had known that scar" | | 3 | "He turned away to place" | | 4 | "She took off her wet" | | 5 | "His hand stopped." | | 6 | "She had carried the sentence" | | 7 | "It had waited in her" | | 8 | "He looked at her then." | | 9 | "He had lost weight." | | 10 | "She remembered watching that ring" | | 11 | "He reached for a bottle" | | 12 | "He stared at her." | | 13 | "She put the bottle on" | | 14 | "It broke at the edges." | | 15 | "He noticed everything." | | 16 | "She looked towards the bookshelf" | | 17 | "Its shelves held cracked atlases," | | 18 | "She had known about the" | | 19 | "He poured two fingers of" |
| | ratio | 0.402 | |
| 7.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 117 | | matches | | 0 | "Rain glazed the pavement outside" | | 1 | "Aurora Carter pushed through the" | | 2 | "The smell of ginger, fried" | | 3 | "She had spent the last" | | 4 | "A strand clung to her" | | 5 | "She ignored it." | | 6 | "Silas looked up from behind" | | 7 | "Silas glanced at the clock." | | 8 | "Aurora set the bag on" | | 9 | "Silas’s hazel eyes flicked to" | | 10 | "The crescent scar there showed" | | 11 | "He had known that scar" | | 12 | "He turned away to place" | | 13 | "Silas’s mouth shifted." | | 14 | "She took off her wet" | | 15 | "The bar held only four" | | 16 | "Aurora caught sight of it" | | 17 | "Silas wiped a ring of" | | 18 | "His hand stopped." | | 19 | "The bar seemed to tighten" |
| | ratio | 0.906 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "Rain glazed the pavement outside The Raven’s Nest, turning the green neon sign into a broken reflection that trembled beneath passing taxis." | | 1 | "Or perhaps she had only remembered him as larger: a man who had filled doorways and rooms, whose voice had carried over music and traffic, who had once lifted h…" |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "He rubbed, not quite hiding the movement" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | 0 | "she continued (continue)" |
| | dialogueSentences | 149 | | tagDensity | 0.094 | | leniency | 0.188 | | rawRatio | 0.071 | | effectiveRatio | 0.013 | |